subject:(Kalman)

1. Sivo, Gaetano. Validation ciel d'une commande haute performance en optique adaptative classique et multi-objet sur le démonstrateur CANARY : On-sky validation of high performance control in classical and multi-object adaptive optics on CANARY pathfinder.

Degree: Docteur es, Physique, 2013, Paris 13

URL: http://www.theses.fr/2013PA132052

►

L'optique adaptative (OA), qui permet de corriger en temps-réel les déformations du front d'onde induites par la turbulence atmosphérique, connaît une limitation fondamentale : l'anisoplanétisme.… (more)

▼

L'optique adaptative (OA), qui permet de corriger en temps-réel les déformations du front d'onde induites par la turbulence atmosphérique, connaît une limitation fondamentale : l'anisoplanétisme. Pour y remédier, le concept d'OA grand champ (OAGC) a été proposé. La turbulence est mesurée dans plusieurs directions du champ de vue à l'aide d'étoiles guide naturelles et laser, et son impact corrigé sur les images par une commande basée sur une reconstruction tomographique. L'approche linéaire quadratique gaussienne (LQG) est bien adaptée à la conception de lois de commande en OAGC comme en OA classique. Elle permet d'estimer et de prédire la phase à l'aide d'un filtre de Kalman basé sur des a priori spatiaux et temporels. Les modèles d'état et commandes associées sont détaillés. On présente la première mise en oeuvre sur le ciel d'une commande LQG sur tous les modes, en OA classique et multi-objet, à l'aide du démonstrateur CANARY. Ces résultats sont obtenus avec identification du modèle de tip-tilt et filtrage des vibrations, ce qui constitue la première mise en oeuvre ciel de cette stratégie. Les a priori spatiaux de la phase en volume sont identifiés par la méthode LEARN. Des données issues du profilomètre stereoSCIDAR ont aussi été utilisées. Des comparaisons sont proposées avec une commande intégrateur en OA classique, avec un gain significatif en performances pour le LQG. Les comparaisons avec le reconstructeur statique APPLY (moindres carrés régularisés) en OA multi-objet mettent en évidence un gain du LQG dans certains cas (fort bruit en particulier). L'ensemble des résultats confirme la faisabilité et l'intérêt d'une commande LQG pour un instrument d'OA ou d'OAGC.

Adaptive Optics (AO), which enables to correct in real time wavefront deformation induced by atmospheric turbulence, faces a fundamental limitation: anisoplanatism. To counter it, the concept of Wide-Field AO (WFAO) has been proposed. Turbulence is measured in several directions of the field of view, using natural and laser guide stars, and its impact on images is mitigated by a control based on tomographic reconstruction. The Linear Quadratic Gaussian (LQG) approach is well-suited to AO control design in both WFAO and classical AO. LQG enables to estimate and predict the phase with a Kalman filter based on spatial and temporal priors. State-space models and associated controls are laid out. The first on-sky implementation of LQG control on all modes, in classical and multi-object AO, is presented on the CANARY pathfinder. These results have been obtained with identification of tip-tilt models and vibration filtering, which constitutes the first on-sky implementation of this strategy. Spatial priors on the phase in the volume are identified using the LEARN algorithm. Data from the stereoSCIDAR profilometer were also used. Comparisons are provided with integral AO control in standard AO, showing significant gain in performance with LQG. Comparisons with the static reconstructor APPLY (regularized least-squares) in multi-object AO show a gain in…

Advisors/Committee Members: Kulcsár, Caroline (thesis director), Conan, Jean-Marc (thesis director).

Subjects/Keywords: Filtre de Kalman; Kalman filter

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APA (6^th Edition):

Sivo, G. (2013). Validation ciel d'une commande haute performance en optique adaptative classique et multi-objet sur le démonstrateur CANARY : On-sky validation of high performance control in classical and multi-object adaptive optics on CANARY pathfinder. (Doctoral Dissertation). Paris 13. Retrieved from http://www.theses.fr/2013PA132052

Chicago Manual of Style (16^th Edition):

Sivo, Gaetano. “Validation ciel d'une commande haute performance en optique adaptative classique et multi-objet sur le démonstrateur CANARY : On-sky validation of high performance control in classical and multi-object adaptive optics on CANARY pathfinder.” 2013. Doctoral Dissertation, Paris 13. Accessed January 17, 2021. http://www.theses.fr/2013PA132052.

MLA Handbook (7^th Edition):

Sivo, Gaetano. “Validation ciel d'une commande haute performance en optique adaptative classique et multi-objet sur le démonstrateur CANARY : On-sky validation of high performance control in classical and multi-object adaptive optics on CANARY pathfinder.” 2013. Web. 17 Jan 2021.

Vancouver:

Sivo G. Validation ciel d'une commande haute performance en optique adaptative classique et multi-objet sur le démonstrateur CANARY : On-sky validation of high performance control in classical and multi-object adaptive optics on CANARY pathfinder. [Internet] [Doctoral dissertation]. Paris 13; 2013. [cited 2021 Jan 17]. Available from: http://www.theses.fr/2013PA132052.

Council of Science Editors:

Sivo G. Validation ciel d'une commande haute performance en optique adaptative classique et multi-objet sur le démonstrateur CANARY : On-sky validation of high performance control in classical and multi-object adaptive optics on CANARY pathfinder. [Doctoral Dissertation]. Paris 13; 2013. Available from: http://www.theses.fr/2013PA132052

Rutgers University

2. Almansouri, Saif. Reduced-order Kalman filter for a class of continuous - time systems with slow and fast modes.

Degree: MS, Electrical and Computer Engineering, 2016, Rutgers University

URL: https://rucore.libraries.rutgers.edu/rutgers-lib/51186/

► In this thesis, complete decomposition of the Kalman filter into the reduced-order Kalman filter with slow and fast modes is addressed. First, we investigate the… (more)

Subjects/Keywords: Kalman filtering

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APA (6^th Edition):

Almansouri, S. (2016). Reduced-order Kalman filter for a class of continuous - time systems with slow and fast modes. (Masters Thesis). Rutgers University. Retrieved from https://rucore.libraries.rutgers.edu/rutgers-lib/51186/

Chicago Manual of Style (16^th Edition):

Almansouri, Saif. “Reduced-order Kalman filter for a class of continuous - time systems with slow and fast modes.” 2016. Masters Thesis, Rutgers University. Accessed January 17, 2021. https://rucore.libraries.rutgers.edu/rutgers-lib/51186/.

MLA Handbook (7^th Edition):

Almansouri, Saif. “Reduced-order Kalman filter for a class of continuous - time systems with slow and fast modes.” 2016. Web. 17 Jan 2021.

Vancouver:

Almansouri S. Reduced-order Kalman filter for a class of continuous - time systems with slow and fast modes. [Internet] [Masters thesis]. Rutgers University; 2016. [cited 2021 Jan 17]. Available from: https://rucore.libraries.rutgers.edu/rutgers-lib/51186/.

Council of Science Editors:

Almansouri S. Reduced-order Kalman filter for a class of continuous - time systems with slow and fast modes. [Masters Thesis]. Rutgers University; 2016. Available from: https://rucore.libraries.rutgers.edu/rutgers-lib/51186/

Oregon State University

3. Muñoz Constantine, Juan Pablo. Grid Voltage Frequency Estimation Using an Adaptive Complex Master-Slave Unscented Kalman Filter.

Degree: MS, Electrical and Computer Engineering, 2015, Oregon State University

URL: http://hdl.handle.net/1957/57444

► Due to the popularity of electronically controlled loads and the widespread use of alternative energy sources such as wind turbines and solar cells, the power… (more)

▼ Due to the popularity of electronically controlled loads and the widespread use of alternative energy sources such as wind turbines and solar cells, the power quality at the distribution level must be carefully monitored. One of the many different means to monitor power quality is through frequency measurements. Nonlinearities cause harmonic generation effectively distorting the signals seen at the load, and so this seemingly simple task becomes a challenge. Recent advances in digital computing have allowed powerful linear estimators like the Kalman filter (KF) to be widely implemented for frequency estimation. In real physical applications, systems exhibit nonlinear behavior raising the need to adapt the Kalman Filter to fit nonlinear models. The Extended Kalman Filter (EKF) deals with nonlinearities in the system by linearizing the model around a known state. However, this makes the estimation process inaccurate because second order or higher nonlinearities are neglected. The recently developed Unscented Kalman filter (UKF) takes advantage of the Unscented Transformation (UT) to deal with nonlinear models without the need of linearization and with the same computational complexity as the EKF. However, any variations of the Kalman filter exhibit a very similar robustness problem when modeling uncertainty and are also sensitive to initial conditions. In order to overcome these limitations, an improved UKF algorithm based on the theory of strong tracking filters (STF) has been developed. If tuned properly, this new algorithm improves tracking for sudden changes and avoids divergence. However, if the process and/or measurement noise change with time, the filter will not estimate with the same accuracy it was tuned for. This thesis work proposes an adaptive algorithm based on an Unscented Kalman Filter (UKF), in order to improve the frequency estimation of power signals which undergo changes and are corrupted by white noise. The adaptive algorithm is based on a Master-Slave configuration, where the "master" estimates the state and the "slave", which operates in parallel, estimates the noise covariance matrix. Since the voltage signal is less distorted than the current signal, the former is employed to derive a complex state-space model to estimate the fundamental frequency. In order to evaluate the performance of the proposed algorithm, several simulations with synthetic data are implemented. Advisors/Committee Members: Magana, Mario E. (advisor), Cotilla-Sanchez, Eduardo (committee member).

Subjects/Keywords: Unscented; Kalman filtering

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APA (6^th Edition):

Muñoz Constantine, J. P. (2015). Grid Voltage Frequency Estimation Using an Adaptive Complex Master-Slave Unscented Kalman Filter. (Masters Thesis). Oregon State University. Retrieved from http://hdl.handle.net/1957/57444

Chicago Manual of Style (16^th Edition):

Muñoz Constantine, Juan Pablo. “Grid Voltage Frequency Estimation Using an Adaptive Complex Master-Slave Unscented Kalman Filter.” 2015. Masters Thesis, Oregon State University. Accessed January 17, 2021. http://hdl.handle.net/1957/57444.

MLA Handbook (7^th Edition):

Muñoz Constantine, Juan Pablo. “Grid Voltage Frequency Estimation Using an Adaptive Complex Master-Slave Unscented Kalman Filter.” 2015. Web. 17 Jan 2021.

Vancouver:

Muñoz Constantine JP. Grid Voltage Frequency Estimation Using an Adaptive Complex Master-Slave Unscented Kalman Filter. [Internet] [Masters thesis]. Oregon State University; 2015. [cited 2021 Jan 17]. Available from: http://hdl.handle.net/1957/57444.

Council of Science Editors:

Muñoz Constantine JP. Grid Voltage Frequency Estimation Using an Adaptive Complex Master-Slave Unscented Kalman Filter. [Masters Thesis]. Oregon State University; 2015. Available from: http://hdl.handle.net/1957/57444

4. Srinivasan K. Design and implementation of nonlinear Control schemes on the simulated model Of CSTR and PH processes;.

Degree: Design and implementation of nonlinear Control schemes on the simulated model Of CSTR and PH processes, 2014, Anna University

URL: http://shodhganga.inflibnet.ac.in/handle/10603/31076

►

PID controller and linear model predictive controller are the two newlinemost popular control schemes that have been widely implemented throughout newlinethe chemical process industries for… (more)

Subjects/Keywords: Extended Kalman filter; Fuzzy Kalman filter; Neural network based Kalman filter; Unscented Kalman filter

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APA (6^th Edition):

K, S. (2014). Design and implementation of nonlinear Control schemes on the simulated model Of CSTR and PH processes;. (Thesis). Anna University. Retrieved from http://shodhganga.inflibnet.ac.in/handle/10603/31076

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^th Edition):

K, Srinivasan. “Design and implementation of nonlinear Control schemes on the simulated model Of CSTR and PH processes;.” 2014. Thesis, Anna University. Accessed January 17, 2021. http://shodhganga.inflibnet.ac.in/handle/10603/31076.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^th Edition):

K, Srinivasan. “Design and implementation of nonlinear Control schemes on the simulated model Of CSTR and PH processes;.” 2014. Web. 17 Jan 2021.

Vancouver:

K S. Design and implementation of nonlinear Control schemes on the simulated model Of CSTR and PH processes;. [Internet] [Thesis]. Anna University; 2014. [cited 2021 Jan 17]. Available from: http://shodhganga.inflibnet.ac.in/handle/10603/31076.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

K S. Design and implementation of nonlinear Control schemes on the simulated model Of CSTR and PH processes;. [Thesis]. Anna University; 2014. Available from: http://shodhganga.inflibnet.ac.in/handle/10603/31076

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

5. Watanabe, Shingo. Stochastic and Deterministic Inversion Methods for History Matching of Production and Time-Lapse Seismic Data.

Degree: 2013, Texas Digital Library

URL: http://hdl.handle.net/1969; http://hdl.handle.net/2249.1/66557

► Automatic history matching methods utilize various kinds of inverse modeling techniques. In this dissertation, we examine ensemble Kalman filter as a stochastic approach for assimilating… (more)

▼ Automatic history matching methods utilize various kinds of inverse modeling techniques. In this dissertation, we examine ensemble Kalman filter as a stochastic approach for assimilating different types of production data and streamline-based inversion methods as a deterministic approach for integrating both production and time-lapse seismic data into high resolution reservoir models. For the ensemble Kalman filter, we develope a physically motivated phase streamline-based covariance localization method to improve data assimilation performance while capturing geologic continuities that affect the flow dynamics and preserving model variability among the ensemble of models. For the streamline-based inversion method, we derived saturation and pressure drop sensitivities with respect to reservoir properties along streamline trajectories and integrated time-lapse seismic derived saturation and pressure changes along with production data using a synthetic model and the Brugge field model. Our results show the importance of accounting for both saturation and pressure changes in the reservoir responses in order to constrain the history matching solutions. Finally we demonstrated the practical feasibility of a proposed structured work- flow for time-lapse seismic and production data integration through the Norne field application. Our proposed method follows a two-step approach: global and local model calibrations. In the global step, we reparameterize the field permeability het- erogeneity with a Grid Connectivity-based Transformation with the basis coefficient as parameters and use a Pareto-based multi-objective evolutionary algorithm to integrate field cumulative production and time-lapse seismic derived acoustic impedance change data. The method generates a suite of trade-off solutions while fitting production and seismic data. In the local step, first the time-lapse seismic data is integrated using the streamline-derived sensitivities of acoustic impedance with respect to reservoir permeability incorporating pressure and saturation effects in-between time-lapse seismic surveys. Next, well production data is integrated by using a generalized travel time inversion method to resolve fine-scale permeability variations between well locations. After model calibration, we use the ensemble of history matched models in an optimal rate control strategy to maximize sweep and injection efficiency by equalizing flood front arrival times at all producers while accounting for geologic uncertainty. Our results show incremental improvement of ultimate recovery and NPV values. Advisors/Committee Members: Datta-Gupta, Akhil (advisor).

Subjects/Keywords: ensemble Kalman Filter

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APA (6^th Edition):

Watanabe, S. (2013). Stochastic and Deterministic Inversion Methods for History Matching of Production and Time-Lapse Seismic Data. (Thesis). Texas Digital Library. Retrieved from http://hdl.handle.net/1969; http://hdl.handle.net/2249.1/66557

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^th Edition):

Watanabe, Shingo. “Stochastic and Deterministic Inversion Methods for History Matching of Production and Time-Lapse Seismic Data.” 2013. Thesis, Texas Digital Library. Accessed January 17, 2021. http://hdl.handle.net/1969; http://hdl.handle.net/2249.1/66557.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^th Edition):

Watanabe, Shingo. “Stochastic and Deterministic Inversion Methods for History Matching of Production and Time-Lapse Seismic Data.” 2013. Web. 17 Jan 2021.

Vancouver:

Watanabe S. Stochastic and Deterministic Inversion Methods for History Matching of Production and Time-Lapse Seismic Data. [Internet] [Thesis]. Texas Digital Library; 2013. [cited 2021 Jan 17]. Available from: http://hdl.handle.net/1969; http://hdl.handle.net/2249.1/66557.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Watanabe S. Stochastic and Deterministic Inversion Methods for History Matching of Production and Time-Lapse Seismic Data. [Thesis]. Texas Digital Library; 2013. Available from: http://hdl.handle.net/1969; http://hdl.handle.net/2249.1/66557

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

6. Zhao, Yan. Three Filters and Their Applications: A Comparison Case Study.

Degree: MS, 2018, Worcester Polytechnic Institute

URL: etd-042618-164329 ; https://digitalcommons.wpi.edu/etd-theses/356

► Filtering has been shown successful in prediction from dynamically changing data. In this thesis, we perform case studies and comparison among three filters: Kalman filter,… (more)

Subjects/Keywords: filters; Kalman filters

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APA (6^th Edition):

Zhao, Y. (2018). Three Filters and Their Applications: A Comparison Case Study. (Thesis). Worcester Polytechnic Institute. Retrieved from etd-042618-164329 ; https://digitalcommons.wpi.edu/etd-theses/356

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^th Edition):

Zhao, Yan. “Three Filters and Their Applications: A Comparison Case Study.” 2018. Thesis, Worcester Polytechnic Institute. Accessed January 17, 2021. etd-042618-164329 ; https://digitalcommons.wpi.edu/etd-theses/356.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^th Edition):

Zhao, Yan. “Three Filters and Their Applications: A Comparison Case Study.” 2018. Web. 17 Jan 2021.

Vancouver:

Zhao Y. Three Filters and Their Applications: A Comparison Case Study. [Internet] [Thesis]. Worcester Polytechnic Institute; 2018. [cited 2021 Jan 17]. Available from: etd-042618-164329 ; https://digitalcommons.wpi.edu/etd-theses/356.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Zhao Y. Three Filters and Their Applications: A Comparison Case Study. [Thesis]. Worcester Polytechnic Institute; 2018. Available from: etd-042618-164329 ; https://digitalcommons.wpi.edu/etd-theses/356

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

University of Hawaii – Manoa

7. Gregory, Elizabeth Dimmitt. A comparison study of state estimators for a spherical pendulum.

Degree: 2016, University of Hawaii – Manoa

URL: http://hdl.handle.net/10125/101704

►

M.S. University of Hawaii at Manoa 2011.

In the field of spacecraft attitude determination and control, the prevailing state estimation method is the Extended Kalman… (more)

Subjects/Keywords: Extended Kalman Filter

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APA (6^th Edition):

Gregory, E. D. (2016). A comparison study of state estimators for a spherical pendulum. (Thesis). University of Hawaii – Manoa. Retrieved from http://hdl.handle.net/10125/101704

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^th Edition):

Gregory, Elizabeth Dimmitt. “A comparison study of state estimators for a spherical pendulum.” 2016. Thesis, University of Hawaii – Manoa. Accessed January 17, 2021. http://hdl.handle.net/10125/101704.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^th Edition):

Gregory, Elizabeth Dimmitt. “A comparison study of state estimators for a spherical pendulum.” 2016. Web. 17 Jan 2021.

Vancouver:

Gregory ED. A comparison study of state estimators for a spherical pendulum. [Internet] [Thesis]. University of Hawaii – Manoa; 2016. [cited 2021 Jan 17]. Available from: http://hdl.handle.net/10125/101704.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Gregory ED. A comparison study of state estimators for a spherical pendulum. [Thesis]. University of Hawaii – Manoa; 2016. Available from: http://hdl.handle.net/10125/101704

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Universidad de Navarra

8. [No author]. A first approach to a Simultaneous Localisation and Mapping (SLAM) solution implementing the Extended Kalman Filter for visual odometry data.

Degree: 2015, Universidad de Navarra

URL: http://hdl.handle.net/10171/37574

► This project was a done as a _nal grade project to obtain the degree in communications electronics engineering from TECNUN. It was done at Vicomtech… (more)

Subjects/Keywords: SLAM; Kalman filter

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APA (6^th Edition):

author], [. (2015). A first approach to a Simultaneous Localisation and Mapping (SLAM) solution implementing the Extended Kalman Filter for visual odometry data. (Thesis). Universidad de Navarra. Retrieved from http://hdl.handle.net/10171/37574

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^th Edition):

author], [No. “A first approach to a Simultaneous Localisation and Mapping (SLAM) solution implementing the Extended Kalman Filter for visual odometry data. ” 2015. Thesis, Universidad de Navarra. Accessed January 17, 2021. http://hdl.handle.net/10171/37574.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^th Edition):

author], [No. “A first approach to a Simultaneous Localisation and Mapping (SLAM) solution implementing the Extended Kalman Filter for visual odometry data. ” 2015. Web. 17 Jan 2021.

Vancouver:

author] [. A first approach to a Simultaneous Localisation and Mapping (SLAM) solution implementing the Extended Kalman Filter for visual odometry data. [Internet] [Thesis]. Universidad de Navarra; 2015. [cited 2021 Jan 17]. Available from: http://hdl.handle.net/10171/37574.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

author] [. A first approach to a Simultaneous Localisation and Mapping (SLAM) solution implementing the Extended Kalman Filter for visual odometry data. [Thesis]. Universidad de Navarra; 2015. Available from: http://hdl.handle.net/10171/37574

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

University of Kansas

9. Lindsey, Theodore S. On the Kalman Filter and Its Variations.

Degree: MA, Mathematics, 2014, University of Kansas

URL: http://hdl.handle.net/1808/14535

► The objective of this paper is to explore the standard Kalman filter and two non-linear variations. Additionally, we will discuss the derivation of the Kalman… (more)

Subjects/Keywords: Mathematics; Kalman filter

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APA (6^th Edition):

Lindsey, T. S. (2014). On the Kalman Filter and Its Variations. (Masters Thesis). University of Kansas. Retrieved from http://hdl.handle.net/1808/14535

Chicago Manual of Style (16^th Edition):

Lindsey, Theodore S. “On the Kalman Filter and Its Variations.” 2014. Masters Thesis, University of Kansas. Accessed January 17, 2021. http://hdl.handle.net/1808/14535.

MLA Handbook (7^th Edition):

Lindsey, Theodore S. “On the Kalman Filter and Its Variations.” 2014. Web. 17 Jan 2021.

Vancouver:

Lindsey TS. On the Kalman Filter and Its Variations. [Internet] [Masters thesis]. University of Kansas; 2014. [cited 2021 Jan 17]. Available from: http://hdl.handle.net/1808/14535.

Council of Science Editors:

Lindsey TS. On the Kalman Filter and Its Variations. [Masters Thesis]. University of Kansas; 2014. Available from: http://hdl.handle.net/1808/14535

George Mason University

10. Ravichandran, Suraj. Comparison of Di erent Kalman Filters for Application to Mobile Robotics .

Degree: 2014, George Mason University

URL: http://hdl.handle.net/1920/8997

► The problem of state estimation of the mobile robot's trajectory being a nonlinear one, the intent of this thesis is to go beyond the realm… (more)

Subjects/Keywords: Kalman Filtering; Nonlinear Kalman Filters; Unscented Kalman Filters; mobile robotics; Iterated Extend Kalman Filter; Extended Kalman Filter

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APA (6^th Edition):

Ravichandran, S. (2014). Comparison of Di erent Kalman Filters for Application to Mobile Robotics . (Thesis). George Mason University. Retrieved from http://hdl.handle.net/1920/8997

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^th Edition):

Ravichandran, Suraj. “Comparison of Di erent Kalman Filters for Application to Mobile Robotics .” 2014. Thesis, George Mason University. Accessed January 17, 2021. http://hdl.handle.net/1920/8997.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^th Edition):

Ravichandran, Suraj. “Comparison of Di erent Kalman Filters for Application to Mobile Robotics .” 2014. Web. 17 Jan 2021.

Vancouver:

Ravichandran S. Comparison of Di erent Kalman Filters for Application to Mobile Robotics . [Internet] [Thesis]. George Mason University; 2014. [cited 2021 Jan 17]. Available from: http://hdl.handle.net/1920/8997.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Ravichandran S. Comparison of Di erent Kalman Filters for Application to Mobile Robotics . [Thesis]. George Mason University; 2014. Available from: http://hdl.handle.net/1920/8997

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Brno University of Technology

11. Snášelová, Petra. Globální lokalizace robota pomocí GPS, kompasu a mapových podkladů: Global Robot Localization Using GPS, Compass and Map.

Degree: 2018, Brno University of Technology

URL: http://hdl.handle.net/11012/55656

► The goal of this bachelor thesis is design of a global localization method for robots combining data provided by GPS, compass and maps. The purpose… (more)

Subjects/Keywords: metody lokalizace; Kalmanova filtrace; Unscented Kalman filtr; localization; Kalman filtration; Unscented Kalman filter

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APA (6^th Edition):

Snášelová, P. (2018). Globální lokalizace robota pomocí GPS, kompasu a mapových podkladů: Global Robot Localization Using GPS, Compass and Map. (Thesis). Brno University of Technology. Retrieved from http://hdl.handle.net/11012/55656

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^th Edition):

Snášelová, Petra. “Globální lokalizace robota pomocí GPS, kompasu a mapových podkladů: Global Robot Localization Using GPS, Compass and Map.” 2018. Thesis, Brno University of Technology. Accessed January 17, 2021. http://hdl.handle.net/11012/55656.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^th Edition):

Snášelová, Petra. “Globální lokalizace robota pomocí GPS, kompasu a mapových podkladů: Global Robot Localization Using GPS, Compass and Map.” 2018. Web. 17 Jan 2021.

Vancouver:

Snášelová P. Globální lokalizace robota pomocí GPS, kompasu a mapových podkladů: Global Robot Localization Using GPS, Compass and Map. [Internet] [Thesis]. Brno University of Technology; 2018. [cited 2021 Jan 17]. Available from: http://hdl.handle.net/11012/55656.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Snášelová P. Globální lokalizace robota pomocí GPS, kompasu a mapových podkladů: Global Robot Localization Using GPS, Compass and Map. [Thesis]. Brno University of Technology; 2018. Available from: http://hdl.handle.net/11012/55656

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Ryerson University

12. Hosseignholizadeh, Ali. Extended Kalman filter approach to electric arc furnace forecasting.

Degree: 2015, Ryerson University

URL: https://digital.library.ryerson.ca/islandora/object/RULA%3A4448

► In this thesis, we propose and implement a new approach for building an online self-adjusting model for prediction of v-i characteristic of a multivariate time… (more)

Subjects/Keywords: Kalman filtering; Electric furnaces

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APA (6^th Edition):

Hosseignholizadeh, A. (2015). Extended Kalman filter approach to electric arc furnace forecasting. (Thesis). Ryerson University. Retrieved from https://digital.library.ryerson.ca/islandora/object/RULA%3A4448

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^th Edition):

Hosseignholizadeh, Ali. “Extended Kalman filter approach to electric arc furnace forecasting.” 2015. Thesis, Ryerson University. Accessed January 17, 2021. https://digital.library.ryerson.ca/islandora/object/RULA%3A4448.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^th Edition):

Hosseignholizadeh, Ali. “Extended Kalman filter approach to electric arc furnace forecasting.” 2015. Web. 17 Jan 2021.

Vancouver:

Hosseignholizadeh A. Extended Kalman filter approach to electric arc furnace forecasting. [Internet] [Thesis]. Ryerson University; 2015. [cited 2021 Jan 17]. Available from: https://digital.library.ryerson.ca/islandora/object/RULA%3A4448.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Hosseignholizadeh A. Extended Kalman filter approach to electric arc furnace forecasting. [Thesis]. Ryerson University; 2015. Available from: https://digital.library.ryerson.ca/islandora/object/RULA%3A4448

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Rochester Institute of Technology

13. Williams, Mark. Sonar-Based Autonomous Navigation and Mapping of Indoor Environments Using Micro-Aerial Vehicles.

Degree: MS, Computer Science (GCCIS), 2014, Rochester Institute of Technology

URL: https://scholarworks.rit.edu/theses/9380

► The purpose of this project is to add autonomous navigation and mapping to a micro aerial vehicle (MAV) with the aid of additional sonar… (more)

Subjects/Keywords: Sonar; Localization; Navigation; Drone; Kalman

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APA (6^th Edition):

Williams, M. (2014). Sonar-Based Autonomous Navigation and Mapping of Indoor Environments Using Micro-Aerial Vehicles. (Masters Thesis). Rochester Institute of Technology. Retrieved from https://scholarworks.rit.edu/theses/9380

Chicago Manual of Style (16^th Edition):

Williams, Mark. “Sonar-Based Autonomous Navigation and Mapping of Indoor Environments Using Micro-Aerial Vehicles.” 2014. Masters Thesis, Rochester Institute of Technology. Accessed January 17, 2021. https://scholarworks.rit.edu/theses/9380.

MLA Handbook (7^th Edition):

Williams, Mark. “Sonar-Based Autonomous Navigation and Mapping of Indoor Environments Using Micro-Aerial Vehicles.” 2014. Web. 17 Jan 2021.

Vancouver:

Williams M. Sonar-Based Autonomous Navigation and Mapping of Indoor Environments Using Micro-Aerial Vehicles. [Internet] [Masters thesis]. Rochester Institute of Technology; 2014. [cited 2021 Jan 17]. Available from: https://scholarworks.rit.edu/theses/9380.

Council of Science Editors:

Williams M. Sonar-Based Autonomous Navigation and Mapping of Indoor Environments Using Micro-Aerial Vehicles. [Masters Thesis]. Rochester Institute of Technology; 2014. Available from: https://scholarworks.rit.edu/theses/9380

Oregon State University

14. Yao, Zhaoda. Multi-User Massive MIMO Channel Estimation Based on Kalman Filters.

Degree: MS, Electrical and Computer Engineering, 2016, Oregon State University

URL: http://hdl.handle.net/1957/59870

► In wireless communication, channel state information (CSI) is essential for data detection. Fast fading coefficients estimation is important in order to acquire accurate CSI. Kalman… (more)

Subjects/Keywords: Kalman Filter; MIMO systems

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APA (6^th Edition):

Yao, Z. (2016). Multi-User Massive MIMO Channel Estimation Based on Kalman Filters. (Masters Thesis). Oregon State University. Retrieved from http://hdl.handle.net/1957/59870

Chicago Manual of Style (16^th Edition):

Yao, Zhaoda. “Multi-User Massive MIMO Channel Estimation Based on Kalman Filters.” 2016. Masters Thesis, Oregon State University. Accessed January 17, 2021. http://hdl.handle.net/1957/59870.

MLA Handbook (7^th Edition):

Yao, Zhaoda. “Multi-User Massive MIMO Channel Estimation Based on Kalman Filters.” 2016. Web. 17 Jan 2021.

Vancouver:

Yao Z. Multi-User Massive MIMO Channel Estimation Based on Kalman Filters. [Internet] [Masters thesis]. Oregon State University; 2016. [cited 2021 Jan 17]. Available from: http://hdl.handle.net/1957/59870.

Council of Science Editors:

Yao Z. Multi-User Massive MIMO Channel Estimation Based on Kalman Filters. [Masters Thesis]. Oregon State University; 2016. Available from: http://hdl.handle.net/1957/59870

Penn State University

15. Ramaswamy, Bharath. KALMAN FILTER BASED ESTIMATION OF INERTIAL MEASUREMENT UNIT PARAMETERS IN A PORTABLE BIOMECHANICAL ASSESSMENT SUITE (PBAS) .

Degree: 2011, Penn State University

URL: https://submit-etda.libraries.psu.edu/catalog/11881

► Musculoskeletal disorders such as low back pain, joint injuries and repetitive strain injuries have affected a sizeable percentage of population in the US and are… (more)

Subjects/Keywords: PBAS; Kalman filtering; IMU

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APA (6^th Edition):

Ramaswamy, B. (2011). KALMAN FILTER BASED ESTIMATION OF INERTIAL MEASUREMENT UNIT PARAMETERS IN A PORTABLE BIOMECHANICAL ASSESSMENT SUITE (PBAS) . (Thesis). Penn State University. Retrieved from https://submit-etda.libraries.psu.edu/catalog/11881

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^th Edition):

Ramaswamy, Bharath. “KALMAN FILTER BASED ESTIMATION OF INERTIAL MEASUREMENT UNIT PARAMETERS IN A PORTABLE BIOMECHANICAL ASSESSMENT SUITE (PBAS) .” 2011. Thesis, Penn State University. Accessed January 17, 2021. https://submit-etda.libraries.psu.edu/catalog/11881.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^th Edition):

Ramaswamy, Bharath. “KALMAN FILTER BASED ESTIMATION OF INERTIAL MEASUREMENT UNIT PARAMETERS IN A PORTABLE BIOMECHANICAL ASSESSMENT SUITE (PBAS) .” 2011. Web. 17 Jan 2021.

Vancouver:

Ramaswamy B. KALMAN FILTER BASED ESTIMATION OF INERTIAL MEASUREMENT UNIT PARAMETERS IN A PORTABLE BIOMECHANICAL ASSESSMENT SUITE (PBAS) . [Internet] [Thesis]. Penn State University; 2011. [cited 2021 Jan 17]. Available from: https://submit-etda.libraries.psu.edu/catalog/11881.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Ramaswamy B. KALMAN FILTER BASED ESTIMATION OF INERTIAL MEASUREMENT UNIT PARAMETERS IN A PORTABLE BIOMECHANICAL ASSESSMENT SUITE (PBAS) . [Thesis]. Penn State University; 2011. Available from: https://submit-etda.libraries.psu.edu/catalog/11881

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

University of Delaware

16. Miller, Cory Ignatius. Estimation and control with censored data.

Degree: PhD, University of Delaware, Department of Electrical and Computer Engineering, 2015, University of Delaware

URL: http://udspace.udel.edu/handle/19716/16997

► Censored measurements are a particular form of output nonlinearity in which the measured output is a continuous function of the state within a certain dynamic… (more)

▼ Censored measurements are a particular form of output nonlinearity in which the measured output is a continuous function of the state within a certain dynamic range, and is constant outside this range. Such measurements can take the form of output saturation, dead zone, occlusion, and limit of detection. Common systems that may produce censored measurements include low cost inertial sensors with limited dynamic range, imagers with fixed field of view, chemical and biological measurements with limit-of-detection constraints, analog to digital converters, and received signal strength from transmission sources. Estimating the true state of the underlying dynamic system via these censored outputs is a challenging problem that is often overlooked or avoided. Traditional optimal state estimators such as the Kalman filter become biased when presented with the output nonlinearity induced by censored measurements. As a consequence, when output feedback is implemented using these estimators the resulting closed-loop system may become unstable if the system output approaches or enters the censored region. The Tobit Kalman filter is a novel adaptation of the classical standard Kalman filter for optimal state estimation in the presence of output censoring. With known cen- soring limits, using a Tobit Kalman filter will result in stable, unbiased state estimation despite censoring. This allows for the application of new and traditional control techniques for system regulation. In this defense new developments of the Tobit Kalman filter and its applications towards control will be reviewed. It will be shown that the Tobit Kalman estimator is a stable unbiased estimator under certain constraints. It will be demonstrated that a Tobit Kalman observer can be used in conjunction with linear output feedback techniques to perform set-point control to values that may not be directly measurable. Applications of such capability towards novel vision based target tracking and mobile receiver localization and control will be explored. Novel estimation techniques in the presence of output censoring will be introduced, including the use of multiple fields of view and variable censoring limits. It will be shown that the Tobit Kalman filter can be used to effectively alter censoring limits in order to meet desired state estimation specifications. Advantages of time varying control of censoring limits include minimization of state estimation uncertainty vs. actuation cost, autonomous tracking of multiple targets, and optimal power consumption for measurement systems. Continuation of this work will be to optimally distribute multiple censoring limits, with seamless integration of differing censoring models, in order minimize state uncertainty over a given region. Optimal control laws will be formulated to alter the trajectory of censoring limits in order to minimize total state uncertainty while tracking multiple states over a given time. Extension to non-linear estimation and control will be performed. Advisors/Committee Members: Zurakowski, Ryan M..

Subjects/Keywords: Censored observations (Statistics); Kalman filtering.

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APA (6^th Edition):

Miller, C. I. (2015). Estimation and control with censored data. (Doctoral Dissertation). University of Delaware. Retrieved from http://udspace.udel.edu/handle/19716/16997

Chicago Manual of Style (16^th Edition):

Miller, Cory Ignatius. “Estimation and control with censored data.” 2015. Doctoral Dissertation, University of Delaware. Accessed January 17, 2021. http://udspace.udel.edu/handle/19716/16997.

MLA Handbook (7^th Edition):

Miller, Cory Ignatius. “Estimation and control with censored data.” 2015. Web. 17 Jan 2021.

Vancouver:

Miller CI. Estimation and control with censored data. [Internet] [Doctoral dissertation]. University of Delaware; 2015. [cited 2021 Jan 17]. Available from: http://udspace.udel.edu/handle/19716/16997.

Council of Science Editors:

Miller CI. Estimation and control with censored data. [Doctoral Dissertation]. University of Delaware; 2015. Available from: http://udspace.udel.edu/handle/19716/16997

University of Maine

17. Pellett, Andrew. The Extended Kalman-Consensus Filter.

Degree: MS, Computer Engineering, 2011, University of Maine

URL: https://digitalcommons.library.umaine.edu/etd/1593

► An algorithm called the extended Kalman-Consensus filter is developed as an extension of the Kalman-Consensus filter to the non-linear case. The extended Kalman- Consensus… (more)

Subjects/Keywords: Kalman filtering; Computer Sciences

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APA (6^th Edition):

Pellett, A. (2011). The Extended Kalman-Consensus Filter. (Masters Thesis). University of Maine. Retrieved from https://digitalcommons.library.umaine.edu/etd/1593

Chicago Manual of Style (16^th Edition):

Pellett, Andrew. “The Extended Kalman-Consensus Filter.” 2011. Masters Thesis, University of Maine. Accessed January 17, 2021. https://digitalcommons.library.umaine.edu/etd/1593.

MLA Handbook (7^th Edition):

Pellett, Andrew. “The Extended Kalman-Consensus Filter.” 2011. Web. 17 Jan 2021.

Vancouver:

Pellett A. The Extended Kalman-Consensus Filter. [Internet] [Masters thesis]. University of Maine; 2011. [cited 2021 Jan 17]. Available from: https://digitalcommons.library.umaine.edu/etd/1593.

Council of Science Editors:

Pellett A. The Extended Kalman-Consensus Filter. [Masters Thesis]. University of Maine; 2011. Available from: https://digitalcommons.library.umaine.edu/etd/1593

Linköping University

18. Lundgren, Pär. Using Homographies for Vehicle Motion Estimation.

Degree: Automatic Control, 2015, Linköping University

URL: http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-120000

► This master’s thesis describes a way to represent vehicles when tracking them through an image sequence. Vehicles are described with a state containing their… (more)

▼ This master’s thesis describes a way to represent vehicles when tracking them through an image sequence. Vehicles are described with a state containing their position, velocity, size, etc.. The thesis highlights the properties of homographies due to their suitability for estimation of projective transformations. The idea is to approximatively represent vehicles with planes based on feature points found on the vehicles. The purpose with this approach is to estimate the displacement of a vehicle by estimating the transformation of these planes. Thus, when avehicle is observed from behind, one plane approximates features found on the back and one plane approximates features found on the side, if the side of the vehicle is visible. The projective transformations of the planes are obtained by measuring the displacement of feature points. The approach presented in this thesis builds on the prerequisites that a camera placed on a vehicle provides an image of its field of view. It does not cover how to find vehicles in an image and thus it requires that the patch which contains the vehicle is provided. Even though this thesis covers large parts of image processing functionalities, the focus is on how to represent vehicles and how to design an appropriate filter for improving estimates of vehicle displacement. Due to noisy features points, approximation of planes, and estimated homographies, the obtained measurements are likely to be noisy. This requires a filter that can handle corrupt measurements and still use those that are not. An unscented Kalman filter, UKF, is utilized in this implementation. The UKF is an approximate solution to nonlinear filtering problems and is here used to update the vehicle’s states by using measurements obtained from homographies. The choice of the unscented Kalman filter was made because of its ease of implementation and its potentially good performance. The result is not a finished implementation for tracking of vehicles, but rather a first attempt for this approach. The result is not better than the existing approach, which might depend on one or several factors such as poorly estimated homographies, unreliable feature points and bad performance of the UKF.

Subjects/Keywords: Tracking; Unscented Kalman filter; homographies

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APA (6^th Edition):

Lundgren, P. (2015). Using Homographies for Vehicle Motion Estimation. (Thesis). Linköping University. Retrieved from http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-120000

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^th Edition):

Lundgren, Pär. “Using Homographies for Vehicle Motion Estimation.” 2015. Thesis, Linköping University. Accessed January 17, 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-120000.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^th Edition):

Lundgren, Pär. “Using Homographies for Vehicle Motion Estimation.” 2015. Web. 17 Jan 2021.

Vancouver:

Lundgren P. Using Homographies for Vehicle Motion Estimation. [Internet] [Thesis]. Linköping University; 2015. [cited 2021 Jan 17]. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-120000.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Lundgren P. Using Homographies for Vehicle Motion Estimation. [Thesis]. Linköping University; 2015. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-120000

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

19. Pettersson, Hanna. Estimation and Pre-Processing of Sensor Data in Heavy Duty Vehicle Platooning.

Degree: The Institute of Technology, 2012, Linköping UniversityLinköping University

URL: http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-79038

►

Today, a rapid development towards fuel efficient technological aids for vehicles is in progress. One step towards this is the development of platooning systems.… (more)

▼

Today, a rapid development towards fuel efficient technological aids for vehicles is in progress. One step towards this is the development of platooning systems. The main concept of platooning is to let several heavy duty vehicles (HDVs) drive in a convoy and share important information with each other via wireless communication. This thesis describes one out of three subsystems in a project developed to handle the process from raw sensor data to control signal. The goal of the project is to achieve a safe and smooth control with the main purpose of reduced fuel consumption. This subsystem processes the raw sensor data received from the different HDVs. The purpose is to estimate the positions and velocities of the vehicles in a platoon, taking into account that packet-loss, out of sequence measurements and irrelevant information can occur. This is achieved by filtering the information from different sensors in an Extended Kalman Filter and converting it into a local coordinate system with the origin in the ego vehicle. Moreover, the estimates are sorted and categorized into classes with respect to the status of the vehicles. The result of the thesis is useful estimates that are independent of outer effects in a local reference system with origin in the host vehicle. This information can then be used for further sensor fusion and implementation of a Model Predictive Controller (MPC) in two other subsystems. These three subsystems result in a smooth and safe control with an average reduced fuel consumption of approxi- mately 11.1% when the vehicles drive with a distance of 0.5 seconds in a simulated environment.

Dagens utveckling inom fordonsindustrin fokuserar mer och mer påutveckling av bränsleeffektiva hjälpmedel. Ett steg i denna riktning är utvecklingen av platooningsystem. Huvudkonceptet med platooning är att låta flera tunga fordon köra i följd i en konvoj och dela viktig information med varandra via trådlös kommuni- kation och en automatiserad styrstrategi. Detta examensarbete beskriver ett utav tre delsystem i ett projekt som är utvecklat för att hantera en process från rå sensordata till styrsignaler för fordonen. Målet är att uppnå en säker och mjuk reglering med huvudsyftet att reducera bränsleförbrukningen. Det här delsystemet behandlar mottagen sensordata från de olika fordonen. Målet med delsystemet är att skatta positioner och hastigheter för fordonen i konvojen med hänsyn till att förlorad, försenad eller irrelevant information från det trådlösa nätverket kan förekomma. Detta uppnås genom filtrering i ett Extended Kalman Filter och konvertering till ett lokalt referenssystem med origo i det egna fordo- net. Utöver detta sorteras informationen och kategoriseras in i olika klasser efter fordonens status. Examensarbetet resulterade i användbara skattningar oberoende av yttre om- ständigheter i ett lokalt referenssystem med origo i det egna fordonet. Denna information kan användas vidare för ytterligare sensorfusion och…

Subjects/Keywords: platooning; estimation; Extended Kalman Filter

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APA (6^th Edition):

Pettersson, H. (2012). Estimation and Pre-Processing of Sensor Data in Heavy Duty Vehicle Platooning. (Thesis). Linköping UniversityLinköping University. Retrieved from http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-79038

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^th Edition):

Pettersson, Hanna. “Estimation and Pre-Processing of Sensor Data in Heavy Duty Vehicle Platooning.” 2012. Thesis, Linköping UniversityLinköping University. Accessed January 17, 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-79038.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^th Edition):

Pettersson, Hanna. “Estimation and Pre-Processing of Sensor Data in Heavy Duty Vehicle Platooning.” 2012. Web. 17 Jan 2021.

Vancouver:

Pettersson H. Estimation and Pre-Processing of Sensor Data in Heavy Duty Vehicle Platooning. [Internet] [Thesis]. Linköping UniversityLinköping University; 2012. [cited 2021 Jan 17]. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-79038.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Pettersson H. Estimation and Pre-Processing of Sensor Data in Heavy Duty Vehicle Platooning. [Thesis]. Linköping UniversityLinköping University; 2012. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-79038

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

20. Yan, Zuohai. Road Condition Predicting with Kalman Filter for Magneto-Rheological Damper in Suspension System.

Degree: 2012, , School of Engineering

URL: http://urn.kb.se/resolve?urn=urn:nbn:se:bth-2106

►

This thesis develops a new way to predict the road roughness with Kalman filter. It suggests applying the Kalman filter to predict road condition… (more)

▼

This thesis develops a new way to predict the road roughness with Kalman filter. It suggests applying the Kalman filter to predict road condition in suspension system. According to the literature review and to the knowledge of authors, no similar applications of Kalman filter in predicting the road roughness are found at the time of the writing thesis. Most of the prediction nowadays is around the road prediction with GPS. It concentrates on avoiding the road bumps by the operator. This research is brand new in this field. What the authors focus on is to predict the road condition and to pass this information to the control system. By this way, the passenger comfort is improved. This research is practical in transportation industry. Nowadays the passenger comfort is crucial. This road condition predictor can help the vehicle to improve the passenger comfort. Furthermore, this predictor can be adjusted to different road conditions. A suspension system is important to improve passenger comfort. Magneto-Rheological(MR) damper, which is a controllable damper, can improve the performance of the suspension system. This thesis presents a menthod to predict the road condition for MR damper. Firstly, three suspension systems, passive, active and semi-active suspension systems, are evaluated by their costs and performances. The semi-active suspension system has good performance with low cost. This suspension system shows better performance with proper control strategy. Additionally, two different levels of road roughness are simulated by Harmonic superposition method in time domain. One of the road roughness scenarios is chosen to test the prediction method. The road roughness is predicted by a Kalman filter. The result shows that the Kalman filter can estimate the road condition with a high accuracy. The prediction frequency is high in this method. The control strategy can adjust its coefficient based on the high prediction frequency. Thus, the performance of the suspension system is enhanced and the passenger comfort is also improved.

0764534242

Subjects/Keywords: Suspention System; Prediction; Kalman Filter

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APA (6^th Edition):

Yan, Z. (2012). Road Condition Predicting with Kalman Filter for Magneto-Rheological Damper in Suspension System. (Thesis). , School of Engineering. Retrieved from http://urn.kb.se/resolve?urn=urn:nbn:se:bth-2106

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^th Edition):

Yan, Zuohai. “Road Condition Predicting with Kalman Filter for Magneto-Rheological Damper in Suspension System.” 2012. Thesis, , School of Engineering. Accessed January 17, 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:bth-2106.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^th Edition):

Yan, Zuohai. “Road Condition Predicting with Kalman Filter for Magneto-Rheological Damper in Suspension System.” 2012. Web. 17 Jan 2021.

Vancouver:

Yan Z. Road Condition Predicting with Kalman Filter for Magneto-Rheological Damper in Suspension System. [Internet] [Thesis]. , School of Engineering; 2012. [cited 2021 Jan 17]. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:bth-2106.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Yan Z. Road Condition Predicting with Kalman Filter for Magneto-Rheological Damper in Suspension System. [Thesis]. , School of Engineering; 2012. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:bth-2106

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Universidad de Cantabria

21. Pigazo López, Alberto. Método de control de filtros activos de potencia paralelo tolerante a perturbaciones de la tensión de red.

Degree: 2005, Universidad de Cantabria

URL: http://hdl.handle.net/10902/1560

► RESUMEN:La utilización de filtros activos paralelo mejora la eficiencia del suministro eléctrico mediante la modificación de las características de la forma de onda de las… (more)

Subjects/Keywords: Kalman filtering

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APA (6^th Edition):

Pigazo López, A. (2005). Método de control de filtros activos de potencia paralelo tolerante a perturbaciones de la tensión de red. (Doctoral Dissertation). Universidad de Cantabria. Retrieved from http://hdl.handle.net/10902/1560

Chicago Manual of Style (16^th Edition):

Pigazo López, Alberto. “Método de control de filtros activos de potencia paralelo tolerante a perturbaciones de la tensión de red.” 2005. Doctoral Dissertation, Universidad de Cantabria. Accessed January 17, 2021. http://hdl.handle.net/10902/1560.

MLA Handbook (7^th Edition):

Pigazo López, Alberto. “Método de control de filtros activos de potencia paralelo tolerante a perturbaciones de la tensión de red.” 2005. Web. 17 Jan 2021.

Vancouver:

Pigazo López A. Método de control de filtros activos de potencia paralelo tolerante a perturbaciones de la tensión de red. [Internet] [Doctoral dissertation]. Universidad de Cantabria; 2005. [cited 2021 Jan 17]. Available from: http://hdl.handle.net/10902/1560.

Council of Science Editors:

Pigazo López A. Método de control de filtros activos de potencia paralelo tolerante a perturbaciones de la tensión de red. [Doctoral Dissertation]. Universidad de Cantabria; 2005. Available from: http://hdl.handle.net/10902/1560

Delft University of Technology

22. Kranenburg, R. (author). Kalman filter in the Real Time URBIS model.

Degree: 2010, Delft University of Technology

URL: http://resolver.tudelft.nl/uuid:b00ac5f6-435d-464f-8ce1-92159b186953

►

For the Rijnmond area around Rotterdam, there is a model which simulates the concentration NOx. NOx forms the basis of smog and causes trouble for… (more)

Subjects/Keywords: Kalman filter

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APA (6^th Edition):

Kranenburg, R. (. (2010). Kalman filter in the Real Time URBIS model. (Masters Thesis). Delft University of Technology. Retrieved from http://resolver.tudelft.nl/uuid:b00ac5f6-435d-464f-8ce1-92159b186953

Chicago Manual of Style (16^th Edition):

Kranenburg, R (author). “Kalman filter in the Real Time URBIS model.” 2010. Masters Thesis, Delft University of Technology. Accessed January 17, 2021. http://resolver.tudelft.nl/uuid:b00ac5f6-435d-464f-8ce1-92159b186953.

MLA Handbook (7^th Edition):

Kranenburg, R (author). “Kalman filter in the Real Time URBIS model.” 2010. Web. 17 Jan 2021.

Vancouver:

Kranenburg R(. Kalman filter in the Real Time URBIS model. [Internet] [Masters thesis]. Delft University of Technology; 2010. [cited 2021 Jan 17]. Available from: http://resolver.tudelft.nl/uuid:b00ac5f6-435d-464f-8ce1-92159b186953.

Council of Science Editors:

Kranenburg R(. Kalman filter in the Real Time URBIS model. [Masters Thesis]. Delft University of Technology; 2010. Available from: http://resolver.tudelft.nl/uuid:b00ac5f6-435d-464f-8ce1-92159b186953

Delft University of Technology

23. Vester, Roeland (author). A parametric study in the force production of surging and pitching wings using a deconvolution Kalman filtering approach.

Degree: 2017, Delft University of Technology

URL: http://resolver.tudelft.nl/uuid:7bb0b2d3-bdea-4222-840e-6faf4d975eee

► A novel filtering method is implemented for the force measurements for typical flapping-wing measurement setups, taking into account the structural dynamics of the setup. With… (more)

Subjects/Keywords: Deconvolution; Flapping; Pitching; Surging; Kalman

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APA (6^th Edition):

Vester, R. (. (2017). A parametric study in the force production of surging and pitching wings using a deconvolution Kalman filtering approach. (Masters Thesis). Delft University of Technology. Retrieved from http://resolver.tudelft.nl/uuid:7bb0b2d3-bdea-4222-840e-6faf4d975eee

Chicago Manual of Style (16^th Edition):

Vester, Roeland (author). “A parametric study in the force production of surging and pitching wings using a deconvolution Kalman filtering approach.” 2017. Masters Thesis, Delft University of Technology. Accessed January 17, 2021. http://resolver.tudelft.nl/uuid:7bb0b2d3-bdea-4222-840e-6faf4d975eee.

MLA Handbook (7^th Edition):

Vester, Roeland (author). “A parametric study in the force production of surging and pitching wings using a deconvolution Kalman filtering approach.” 2017. Web. 17 Jan 2021.

Vancouver:

Vester R(. A parametric study in the force production of surging and pitching wings using a deconvolution Kalman filtering approach. [Internet] [Masters thesis]. Delft University of Technology; 2017. [cited 2021 Jan 17]. Available from: http://resolver.tudelft.nl/uuid:7bb0b2d3-bdea-4222-840e-6faf4d975eee.

Council of Science Editors:

Vester R(. A parametric study in the force production of surging and pitching wings using a deconvolution Kalman filtering approach. [Masters Thesis]. Delft University of Technology; 2017. Available from: http://resolver.tudelft.nl/uuid:7bb0b2d3-bdea-4222-840e-6faf4d975eee

Michigan State University

24. Quencer, Brett Michael. Multicomponent kinetic determinations with the extended Kalman filter.

Degree: PhD, Department of Chemistry, 1993, Michigan State University

URL: http://etd.lib.msu.edu/islandora/object/etd:22477

Subjects/Keywords: Kalman filtering

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APA (6^th Edition):

Quencer, B. M. (1993). Multicomponent kinetic determinations with the extended Kalman filter. (Doctoral Dissertation). Michigan State University. Retrieved from http://etd.lib.msu.edu/islandora/object/etd:22477

Chicago Manual of Style (16^th Edition):

Quencer, Brett Michael. “Multicomponent kinetic determinations with the extended Kalman filter.” 1993. Doctoral Dissertation, Michigan State University. Accessed January 17, 2021. http://etd.lib.msu.edu/islandora/object/etd:22477.

MLA Handbook (7^th Edition):

Quencer, Brett Michael. “Multicomponent kinetic determinations with the extended Kalman filter.” 1993. Web. 17 Jan 2021.

Vancouver:

Quencer BM. Multicomponent kinetic determinations with the extended Kalman filter. [Internet] [Doctoral dissertation]. Michigan State University; 1993. [cited 2021 Jan 17]. Available from: http://etd.lib.msu.edu/islandora/object/etd:22477.

Council of Science Editors:

Quencer BM. Multicomponent kinetic determinations with the extended Kalman filter. [Doctoral Dissertation]. Michigan State University; 1993. Available from: http://etd.lib.msu.edu/islandora/object/etd:22477

University of Missouri – Columbia

25. Wu, Lingxue. Covariance methods in nonlinear model identification.

Degree: 2016, University of Missouri – Columbia

URL: https://doi.org/10.32469/10355/56418

► [ACCESS RESTRICTED TO THE UNIVERSITY OF MISSOURI AT REQUEST OF AUTHOR.] In many practical engineering and machine learning applications, it is necessary to identify an… (more)

Subjects/Keywords: Kalman filtering – Mathematical models

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^th Edition):

Wu, L. (2016). Covariance methods in nonlinear model identification. (Thesis). University of Missouri – Columbia. Retrieved from https://doi.org/10.32469/10355/56418

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^th Edition):

Wu, Lingxue. “Covariance methods in nonlinear model identification.” 2016. Thesis, University of Missouri – Columbia. Accessed January 17, 2021. https://doi.org/10.32469/10355/56418.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^th Edition):

Wu, Lingxue. “Covariance methods in nonlinear model identification.” 2016. Web. 17 Jan 2021.

Vancouver:

Wu L. Covariance methods in nonlinear model identification. [Internet] [Thesis]. University of Missouri – Columbia; 2016. [cited 2021 Jan 17]. Available from: https://doi.org/10.32469/10355/56418.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Wu L. Covariance methods in nonlinear model identification. [Thesis]. University of Missouri – Columbia; 2016. Available from: https://doi.org/10.32469/10355/56418

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

University of Minnesota

26. Le, Leonardo. Constraint-Based Networked Inertial Navigation.

Degree: PhD, Aerospace Engineering and Mechanics, 2018, University of Minnesota

URL: http://hdl.handle.net/11299/201687

► Algorithms for a personal navigation system which uses a network of IMUs are developed and evaluated. To this end, a unified framework of a state… (more)

Subjects/Keywords: constrained Kalman filter; networked INS

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APA (6^th Edition):

Le, L. (2018). Constraint-Based Networked Inertial Navigation. (Doctoral Dissertation). University of Minnesota. Retrieved from http://hdl.handle.net/11299/201687

Chicago Manual of Style (16^th Edition):

Le, Leonardo. “Constraint-Based Networked Inertial Navigation.” 2018. Doctoral Dissertation, University of Minnesota. Accessed January 17, 2021. http://hdl.handle.net/11299/201687.

MLA Handbook (7^th Edition):

Le, Leonardo. “Constraint-Based Networked Inertial Navigation.” 2018. Web. 17 Jan 2021.

Vancouver:

Le L. Constraint-Based Networked Inertial Navigation. [Internet] [Doctoral dissertation]. University of Minnesota; 2018. [cited 2021 Jan 17]. Available from: http://hdl.handle.net/11299/201687.

Council of Science Editors:

Le L. Constraint-Based Networked Inertial Navigation. [Doctoral Dissertation]. University of Minnesota; 2018. Available from: http://hdl.handle.net/11299/201687

University of Arizona

27. Warnock, Joe Carl, 1948-. Optimal minimal-order state estimation filters for two classes of discrete linear time-varying stochastic systems .

Degree: 1972, University of Arizona

URL: http://hdl.handle.net/10150/555342

Subjects/Keywords: Kalman filtering.

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^th Edition):

Warnock, Joe Carl, 1. (1972). Optimal minimal-order state estimation filters for two classes of discrete linear time-varying stochastic systems . (Masters Thesis). University of Arizona. Retrieved from http://hdl.handle.net/10150/555342

Chicago Manual of Style (16^th Edition):

Warnock, Joe Carl, 1948-. “Optimal minimal-order state estimation filters for two classes of discrete linear time-varying stochastic systems .” 1972. Masters Thesis, University of Arizona. Accessed January 17, 2021. http://hdl.handle.net/10150/555342.

MLA Handbook (7^th Edition):

Warnock, Joe Carl, 1948-. “Optimal minimal-order state estimation filters for two classes of discrete linear time-varying stochastic systems .” 1972. Web. 17 Jan 2021.

Vancouver:

Warnock, Joe Carl 1. Optimal minimal-order state estimation filters for two classes of discrete linear time-varying stochastic systems . [Internet] [Masters thesis]. University of Arizona; 1972. [cited 2021 Jan 17]. Available from: http://hdl.handle.net/10150/555342.

Council of Science Editors:

Warnock, Joe Carl 1. Optimal minimal-order state estimation filters for two classes of discrete linear time-varying stochastic systems . [Masters Thesis]. University of Arizona; 1972. Available from: http://hdl.handle.net/10150/555342

University of Arizona

28. Hampton, Robert Lee Thomas, 1939-. STOCHASTIC ALGORITHMS FOR SELF-ADAPTIVE FILTERING AND PREDICTION .

Degree: 1971, University of Arizona

URL: http://hdl.handle.net/10150/287682

Subjects/Keywords: Kalman filtering.

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^th Edition):

Hampton, Robert Lee Thomas, 1. (1971). STOCHASTIC ALGORITHMS FOR SELF-ADAPTIVE FILTERING AND PREDICTION . (Doctoral Dissertation). University of Arizona. Retrieved from http://hdl.handle.net/10150/287682

Chicago Manual of Style (16^th Edition):

Hampton, Robert Lee Thomas, 1939-. “STOCHASTIC ALGORITHMS FOR SELF-ADAPTIVE FILTERING AND PREDICTION .” 1971. Doctoral Dissertation, University of Arizona. Accessed January 17, 2021. http://hdl.handle.net/10150/287682.

MLA Handbook (7^th Edition):

Hampton, Robert Lee Thomas, 1939-. “STOCHASTIC ALGORITHMS FOR SELF-ADAPTIVE FILTERING AND PREDICTION .” 1971. Web. 17 Jan 2021.

Vancouver:

Hampton, Robert Lee Thomas 1. STOCHASTIC ALGORITHMS FOR SELF-ADAPTIVE FILTERING AND PREDICTION . [Internet] [Doctoral dissertation]. University of Arizona; 1971. [cited 2021 Jan 17]. Available from: http://hdl.handle.net/10150/287682.

Council of Science Editors:

Hampton, Robert Lee Thomas 1. STOCHASTIC ALGORITHMS FOR SELF-ADAPTIVE FILTERING AND PREDICTION . [Doctoral Dissertation]. University of Arizona; 1971. Available from: http://hdl.handle.net/10150/287682

University of Tennessee – Knoxville

29. Hickerson, Jonathan William. Track Prediction for Border Security Using a Discrete Kalman Filter.

Degree: MS, Computer Engineering, 2012, University of Tennessee – Knoxville

URL: https://trace.tennessee.edu/utk_gradthes/1292

► Border security systems are a critical component in the prevention of the transnational trafficking of unlawful goods. For economic, environmental, and public safety related… (more)

Subjects/Keywords: Kalman Multisensor Tracking; Computer Engineering

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APA (6^th Edition):

Hickerson, J. W. (2012). Track Prediction for Border Security Using a Discrete Kalman Filter. (Thesis). University of Tennessee – Knoxville. Retrieved from https://trace.tennessee.edu/utk_gradthes/1292

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^th Edition):

Hickerson, Jonathan William. “Track Prediction for Border Security Using a Discrete Kalman Filter.” 2012. Thesis, University of Tennessee – Knoxville. Accessed January 17, 2021. https://trace.tennessee.edu/utk_gradthes/1292.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^th Edition):

Hickerson, Jonathan William. “Track Prediction for Border Security Using a Discrete Kalman Filter.” 2012. Web. 17 Jan 2021.

Vancouver:

Hickerson JW. Track Prediction for Border Security Using a Discrete Kalman Filter. [Internet] [Thesis]. University of Tennessee – Knoxville; 2012. [cited 2021 Jan 17]. Available from: https://trace.tennessee.edu/utk_gradthes/1292.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Hickerson JW. Track Prediction for Border Security Using a Discrete Kalman Filter. [Thesis]. University of Tennessee – Knoxville; 2012. Available from: https://trace.tennessee.edu/utk_gradthes/1292

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

University of North Texas

30. Wunnava, Sashi Prabha. Kalman Filtering Approach to Optimize OFDM Data Rate.

Degree: 2011, University of North Texas

URL: https://digital.library.unt.edu/ark:/67531/metadc84303/

► This study is based on applying a non-linear mapping method, here the unscented Kalman filter; to estimate and optimize data rate resulting from the arrival… (more)

Subjects/Keywords: Kalman filter; data rate; OFDM

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APA (6^th Edition):

Wunnava, S. P. (2011). Kalman Filtering Approach to Optimize OFDM Data Rate. (Thesis). University of North Texas. Retrieved from https://digital.library.unt.edu/ark:/67531/metadc84303/

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^th Edition):

Wunnava, Sashi Prabha. “Kalman Filtering Approach to Optimize OFDM Data Rate.” 2011. Thesis, University of North Texas. Accessed January 17, 2021. https://digital.library.unt.edu/ark:/67531/metadc84303/.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^th Edition):

Wunnava, Sashi Prabha. “Kalman Filtering Approach to Optimize OFDM Data Rate.” 2011. Web. 17 Jan 2021.

Vancouver:

Wunnava SP. Kalman Filtering Approach to Optimize OFDM Data Rate. [Internet] [Thesis]. University of North Texas; 2011. [cited 2021 Jan 17]. Available from: https://digital.library.unt.edu/ark:/67531/metadc84303/.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Wunnava SP. Kalman Filtering Approach to Optimize OFDM Data Rate. [Thesis]. University of North Texas; 2011. Available from: https://digital.library.unt.edu/ark:/67531/metadc84303/

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

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Open Access Theses and Dissertations