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You searched for subject:(Kalman filtering). Showing records 1 – 30 of 352 total matches.

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Rutgers University

1. 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

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

APA (6th 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 (16th 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 December 12, 2019. https://rucore.libraries.rutgers.edu/rutgers-lib/51186/.

MLA Handbook (7th Edition):

Almansouri, Saif. “Reduced-order Kalman filter for a class of continuous - time systems with slow and fast modes.” 2016. Web. 12 Dec 2019.

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 2019 Dec 12]. 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

2. 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

 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)

Subjects/Keywords: Unscented; Kalman filtering

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APA (6th 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 (16th 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 December 12, 2019. http://hdl.handle.net/1957/57444.

MLA Handbook (7th Edition):

Muñoz Constantine, Juan Pablo. “Grid Voltage Frequency Estimation Using an Adaptive Complex Master-Slave Unscented Kalman Filter.” 2015. Web. 12 Dec 2019.

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 2019 Dec 12]. 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


Penn State University

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

Degree: MS, Electrical Engineering, 2011, Penn State University

 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 (6th Edition):

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

Chicago Manual of Style (16th Edition):

Ramaswamy, Bharath. “KALMAN FILTER BASED ESTIMATION OF INERTIAL MEASUREMENT UNIT PARAMETERS IN A PORTABLE BIOMECHANICAL ASSESSMENT SUITE (PBAS).” 2011. Masters Thesis, Penn State University. Accessed December 12, 2019. https://etda.libraries.psu.edu/catalog/11881.

MLA Handbook (7th Edition):

Ramaswamy, Bharath. “KALMAN FILTER BASED ESTIMATION OF INERTIAL MEASUREMENT UNIT PARAMETERS IN A PORTABLE BIOMECHANICAL ASSESSMENT SUITE (PBAS).” 2011. Web. 12 Dec 2019.

Vancouver:

Ramaswamy B. KALMAN FILTER BASED ESTIMATION OF INERTIAL MEASUREMENT UNIT PARAMETERS IN A PORTABLE BIOMECHANICAL ASSESSMENT SUITE (PBAS). [Internet] [Masters thesis]. Penn State University; 2011. [cited 2019 Dec 12]. Available from: https://etda.libraries.psu.edu/catalog/11881.

Council of Science Editors:

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


University of Maine

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

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

  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 (6th 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 (16th Edition):

Pellett, Andrew. “The Extended Kalman-Consensus Filter.” 2011. Masters Thesis, University of Maine. Accessed December 12, 2019. https://digitalcommons.library.umaine.edu/etd/1593.

MLA Handbook (7th Edition):

Pellett, Andrew. “The Extended Kalman-Consensus Filter.” 2011. Web. 12 Dec 2019.

Vancouver:

Pellett A. The Extended Kalman-Consensus Filter. [Internet] [Masters thesis]. University of Maine; 2011. [cited 2019 Dec 12]. 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


Ryerson University

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

Degree: 2015, Ryerson University

 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 (6th 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 (16th Edition):

Hosseignholizadeh, Ali. “Extended Kalman filter approach to electric arc furnace forecasting.” 2015. Thesis, Ryerson University. Accessed December 12, 2019. 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 (7th Edition):

Hosseignholizadeh, Ali. “Extended Kalman filter approach to electric arc furnace forecasting.” 2015. Web. 12 Dec 2019.

Vancouver:

Hosseignholizadeh A. Extended Kalman filter approach to electric arc furnace forecasting. [Internet] [Thesis]. Ryerson University; 2015. [cited 2019 Dec 12]. 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


University of Missouri – Columbia

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

Degree: 2016, University of Missouri – Columbia

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

Subjects/Keywords: Kalman filtering  – Mathematical models

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

APA (6th Edition):

Wu, L. (2016). Covariance methods in nonlinear model identification. (Thesis). University of Missouri – Columbia. Retrieved from http://hdl.handle.net/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 (16th Edition):

Wu, Lingxue. “Covariance methods in nonlinear model identification.” 2016. Thesis, University of Missouri – Columbia. Accessed December 12, 2019. http://hdl.handle.net/10355/56418.

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

MLA Handbook (7th Edition):

Wu, Lingxue. “Covariance methods in nonlinear model identification.” 2016. Web. 12 Dec 2019.

Vancouver:

Wu L. Covariance methods in nonlinear model identification. [Internet] [Thesis]. University of Missouri – Columbia; 2016. [cited 2019 Dec 12]. Available from: http://hdl.handle.net/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: http://hdl.handle.net/10355/56418

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


University of Missouri – Columbia

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

Degree: 2016, University of Missouri – Columbia

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

Subjects/Keywords: Kalman filtering  – Mathematical models

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

APA (6th 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 (16th Edition):

Wu, Lingxue. “Covariance methods in nonlinear model identification.” 2016. Thesis, University of Missouri – Columbia. Accessed December 12, 2019. 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 (7th Edition):

Wu, Lingxue. “Covariance methods in nonlinear model identification.” 2016. Web. 12 Dec 2019.

Vancouver:

Wu L. Covariance methods in nonlinear model identification. [Internet] [Thesis]. University of Missouri – Columbia; 2016. [cited 2019 Dec 12]. 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 Sydney

8. Barton, Matthew. Kalman-filter-based EEG source localization .

Degree: 2011, University of Sydney

 This thesis uses the Kalman filter (KF) to solve the electroencephalographic (EEG) inverse problem to image its neuronal sources. Chapter 1 introduces EEG source localization… (more)

Subjects/Keywords: EEG; Source localization; Kalman filtering

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APA (6th Edition):

Barton, M. (2011). Kalman-filter-based EEG source localization . (Thesis). University of Sydney. Retrieved from http://hdl.handle.net/2123/12459

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

Chicago Manual of Style (16th Edition):

Barton, Matthew. “Kalman-filter-based EEG source localization .” 2011. Thesis, University of Sydney. Accessed December 12, 2019. http://hdl.handle.net/2123/12459.

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

MLA Handbook (7th Edition):

Barton, Matthew. “Kalman-filter-based EEG source localization .” 2011. Web. 12 Dec 2019.

Vancouver:

Barton M. Kalman-filter-based EEG source localization . [Internet] [Thesis]. University of Sydney; 2011. [cited 2019 Dec 12]. Available from: http://hdl.handle.net/2123/12459.

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

Council of Science Editors:

Barton M. Kalman-filter-based EEG source localization . [Thesis]. University of Sydney; 2011. Available from: http://hdl.handle.net/2123/12459

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


University of Arizona

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

Degree: 1971, University of Arizona

Subjects/Keywords: Kalman filtering.

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APA (6th 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 (16th Edition):

Hampton, Robert Lee Thomas, 1939-. “STOCHASTIC ALGORITHMS FOR SELF-ADAPTIVE FILTERING AND PREDICTION .” 1971. Doctoral Dissertation, University of Arizona. Accessed December 12, 2019. http://hdl.handle.net/10150/287682.

MLA Handbook (7th Edition):

Hampton, Robert Lee Thomas, 1939-. “STOCHASTIC ALGORITHMS FOR SELF-ADAPTIVE FILTERING AND PREDICTION .” 1971. Web. 12 Dec 2019.

Vancouver:

Hampton, Robert Lee Thomas 1. STOCHASTIC ALGORITHMS FOR SELF-ADAPTIVE FILTERING AND PREDICTION . [Internet] [Doctoral dissertation]. University of Arizona; 1971. [cited 2019 Dec 12]. 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


Michigan State University

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

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

Subjects/Keywords: Kalman filtering

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APA (6th 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 (16th Edition):

Quencer, Brett Michael. “Multicomponent kinetic determinations with the extended Kalman filter.” 1993. Doctoral Dissertation, Michigan State University. Accessed December 12, 2019. http://etd.lib.msu.edu/islandora/object/etd:22477.

MLA Handbook (7th Edition):

Quencer, Brett Michael. “Multicomponent kinetic determinations with the extended Kalman filter.” 1993. Web. 12 Dec 2019.

Vancouver:

Quencer BM. Multicomponent kinetic determinations with the extended Kalman filter. [Internet] [Doctoral dissertation]. Michigan State University; 1993. [cited 2019 Dec 12]. 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 Arizona

11. 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

Subjects/Keywords: Kalman filtering.

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APA (6th 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 (16th 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 December 12, 2019. http://hdl.handle.net/10150/555342.

MLA Handbook (7th Edition):

Warnock, Joe Carl, 1948-. “Optimal minimal-order state estimation filters for two classes of discrete linear time-varying stochastic systems .” 1972. Web. 12 Dec 2019.

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 2019 Dec 12]. 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 Oxford

12. Thompson, Richard Lee. Integration of visual and haptic feedback for teleoperation.

Degree: PhD, 2001, University of Oxford

 Teleoperation systems are an important tool for performing tasks which require the sensori-motor coordination of an operator but where it is physically impossible for an… (more)

Subjects/Keywords: 620.46; Kalman filtering

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APA (6th Edition):

Thompson, R. L. (2001). Integration of visual and haptic feedback for teleoperation. (Doctoral Dissertation). University of Oxford. Retrieved from http://ora.ox.ac.uk/objects/uuid:257a7ad3-c457-44eb-84d7-ffc2f5939847 ; http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.275382

Chicago Manual of Style (16th Edition):

Thompson, Richard Lee. “Integration of visual and haptic feedback for teleoperation.” 2001. Doctoral Dissertation, University of Oxford. Accessed December 12, 2019. http://ora.ox.ac.uk/objects/uuid:257a7ad3-c457-44eb-84d7-ffc2f5939847 ; http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.275382.

MLA Handbook (7th Edition):

Thompson, Richard Lee. “Integration of visual and haptic feedback for teleoperation.” 2001. Web. 12 Dec 2019.

Vancouver:

Thompson RL. Integration of visual and haptic feedback for teleoperation. [Internet] [Doctoral dissertation]. University of Oxford; 2001. [cited 2019 Dec 12]. Available from: http://ora.ox.ac.uk/objects/uuid:257a7ad3-c457-44eb-84d7-ffc2f5939847 ; http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.275382.

Council of Science Editors:

Thompson RL. Integration of visual and haptic feedback for teleoperation. [Doctoral Dissertation]. University of Oxford; 2001. Available from: http://ora.ox.ac.uk/objects/uuid:257a7ad3-c457-44eb-84d7-ffc2f5939847 ; http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.275382


Hong Kong University of Science and Technology

13. Pang, Minjian ECE. Multi-state constraint Kalman filter based visual inertial navigation system for monocular, stereo and RGB-D cameras.

Degree: 2018, Hong Kong University of Science and Technology

 Simultaneous localization and mapping (SLAM), serving as a fundamental technology in various areas such as robotics, autonomous driving, augmented reality (AR), etc., has been investigated… (more)

Subjects/Keywords: Inertial navigation systems; Kalman filtering; Detectors

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APA (6th Edition):

Pang, M. E. (2018). Multi-state constraint Kalman filter based visual inertial navigation system for monocular, stereo and RGB-D cameras. (Thesis). Hong Kong University of Science and Technology. Retrieved from https://doi.org/10.14711/thesis-991012636967903412 ; http://repository.ust.hk/ir/bitstream/1783.1-95904/1/th_redirect.html

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

Chicago Manual of Style (16th Edition):

Pang, Minjian ECE. “Multi-state constraint Kalman filter based visual inertial navigation system for monocular, stereo and RGB-D cameras.” 2018. Thesis, Hong Kong University of Science and Technology. Accessed December 12, 2019. https://doi.org/10.14711/thesis-991012636967903412 ; http://repository.ust.hk/ir/bitstream/1783.1-95904/1/th_redirect.html.

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

MLA Handbook (7th Edition):

Pang, Minjian ECE. “Multi-state constraint Kalman filter based visual inertial navigation system for monocular, stereo and RGB-D cameras.” 2018. Web. 12 Dec 2019.

Vancouver:

Pang ME. Multi-state constraint Kalman filter based visual inertial navigation system for monocular, stereo and RGB-D cameras. [Internet] [Thesis]. Hong Kong University of Science and Technology; 2018. [cited 2019 Dec 12]. Available from: https://doi.org/10.14711/thesis-991012636967903412 ; http://repository.ust.hk/ir/bitstream/1783.1-95904/1/th_redirect.html.

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

Council of Science Editors:

Pang ME. Multi-state constraint Kalman filter based visual inertial navigation system for monocular, stereo and RGB-D cameras. [Thesis]. Hong Kong University of Science and Technology; 2018. Available from: https://doi.org/10.14711/thesis-991012636967903412 ; http://repository.ust.hk/ir/bitstream/1783.1-95904/1/th_redirect.html

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


Hong Kong University of Science and Technology

14. Lau, Ka Kin CIVL. Online structural health monitoring using Kalman-filter-based methods.

Degree: 2018, Hong Kong University of Science and Technology

 Structural health monitoring (SHM) is an emerging interdisciplinary research field that aims at providing an intellectual framework to ensure the safety and performance of civil… (more)

Subjects/Keywords: Structural health monitoring; Mathematical models; Kalman filtering

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APA (6th Edition):

Lau, K. K. C. (2018). Online structural health monitoring using Kalman-filter-based methods. (Thesis). Hong Kong University of Science and Technology. Retrieved from https://doi.org/10.14711/thesis-991012633567703412 ; http://repository.ust.hk/ir/bitstream/1783.1-95695/1/th_redirect.html

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

Chicago Manual of Style (16th Edition):

Lau, Ka Kin CIVL. “Online structural health monitoring using Kalman-filter-based methods.” 2018. Thesis, Hong Kong University of Science and Technology. Accessed December 12, 2019. https://doi.org/10.14711/thesis-991012633567703412 ; http://repository.ust.hk/ir/bitstream/1783.1-95695/1/th_redirect.html.

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

MLA Handbook (7th Edition):

Lau, Ka Kin CIVL. “Online structural health monitoring using Kalman-filter-based methods.” 2018. Web. 12 Dec 2019.

Vancouver:

Lau KKC. Online structural health monitoring using Kalman-filter-based methods. [Internet] [Thesis]. Hong Kong University of Science and Technology; 2018. [cited 2019 Dec 12]. Available from: https://doi.org/10.14711/thesis-991012633567703412 ; http://repository.ust.hk/ir/bitstream/1783.1-95695/1/th_redirect.html.

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

Council of Science Editors:

Lau KKC. Online structural health monitoring using Kalman-filter-based methods. [Thesis]. Hong Kong University of Science and Technology; 2018. Available from: https://doi.org/10.14711/thesis-991012633567703412 ; http://repository.ust.hk/ir/bitstream/1783.1-95695/1/th_redirect.html

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


King Abdullah University of Science and Technology

15. El Gharamti, Mohamad. Low-Rank Kalman Filtering in Subsurface Contaminant Transport Models.

Degree: 2010, King Abdullah University of Science and Technology

 Understanding the geology and the hydrology of the subsurface is important to model the fluid flow and the behavior of the contaminant. It is essential… (more)

Subjects/Keywords: Kalman Filtering; Subsurface Contaminant Transport Model

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APA (6th Edition):

El Gharamti, M. (2010). Low-Rank Kalman Filtering in Subsurface Contaminant Transport Models. (Thesis). King Abdullah University of Science and Technology. Retrieved from http://hdl.handle.net/10754/134735

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

Chicago Manual of Style (16th Edition):

El Gharamti, Mohamad. “Low-Rank Kalman Filtering in Subsurface Contaminant Transport Models.” 2010. Thesis, King Abdullah University of Science and Technology. Accessed December 12, 2019. http://hdl.handle.net/10754/134735.

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

MLA Handbook (7th Edition):

El Gharamti, Mohamad. “Low-Rank Kalman Filtering in Subsurface Contaminant Transport Models.” 2010. Web. 12 Dec 2019.

Vancouver:

El Gharamti M. Low-Rank Kalman Filtering in Subsurface Contaminant Transport Models. [Internet] [Thesis]. King Abdullah University of Science and Technology; 2010. [cited 2019 Dec 12]. Available from: http://hdl.handle.net/10754/134735.

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

Council of Science Editors:

El Gharamti M. Low-Rank Kalman Filtering in Subsurface Contaminant Transport Models. [Thesis]. King Abdullah University of Science and Technology; 2010. Available from: http://hdl.handle.net/10754/134735

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


University of Houston

16. Liu, Daxiao 1986-. An Energy-Saving Approach for Real-Time Highway Traffic Estimation Using GPS-Enabled Smartphones.

Degree: Computer Science, Department of, 2014, University of Houston

 This paper presents a microscopic traffic estimation algorithm for smartphones by employing their built-in probes such as GPS and acceleration sensors to increase the accuracy… (more)

Subjects/Keywords: Smartphone; Real-time traffic; Kalman-filtering

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APA (6th Edition):

Liu, D. 1. (2014). An Energy-Saving Approach for Real-Time Highway Traffic Estimation Using GPS-Enabled Smartphones. (Thesis). University of Houston. Retrieved from http://hdl.handle.net/10657/1631

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

Chicago Manual of Style (16th Edition):

Liu, Daxiao 1986-. “An Energy-Saving Approach for Real-Time Highway Traffic Estimation Using GPS-Enabled Smartphones.” 2014. Thesis, University of Houston. Accessed December 12, 2019. http://hdl.handle.net/10657/1631.

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

MLA Handbook (7th Edition):

Liu, Daxiao 1986-. “An Energy-Saving Approach for Real-Time Highway Traffic Estimation Using GPS-Enabled Smartphones.” 2014. Web. 12 Dec 2019.

Vancouver:

Liu D1. An Energy-Saving Approach for Real-Time Highway Traffic Estimation Using GPS-Enabled Smartphones. [Internet] [Thesis]. University of Houston; 2014. [cited 2019 Dec 12]. Available from: http://hdl.handle.net/10657/1631.

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

Council of Science Editors:

Liu D1. An Energy-Saving Approach for Real-Time Highway Traffic Estimation Using GPS-Enabled Smartphones. [Thesis]. University of Houston; 2014. Available from: http://hdl.handle.net/10657/1631

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

17. Leader, Daniel Eugene. Kalman filter estimation of underwater vehicle position and attitude using Doppler velocity aided inertial motion unit.

Degree: 1994, MIT and Woods Hole Oceanographic Institution

 This Paper explores the use of an extended Kalman filter to provide real-time estimates of underwater vehicle position and attitude. The types of previously available… (more)

Subjects/Keywords: Submersibles; Kalman filtering

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APA (6th Edition):

Leader, D. E. (1994). Kalman filter estimation of underwater vehicle position and attitude using Doppler velocity aided inertial motion unit. (Thesis). MIT and Woods Hole Oceanographic Institution. Retrieved from http://hdl.handle.net/1912/2418

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

Chicago Manual of Style (16th Edition):

Leader, Daniel Eugene. “Kalman filter estimation of underwater vehicle position and attitude using Doppler velocity aided inertial motion unit.” 1994. Thesis, MIT and Woods Hole Oceanographic Institution. Accessed December 12, 2019. http://hdl.handle.net/1912/2418.

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

MLA Handbook (7th Edition):

Leader, Daniel Eugene. “Kalman filter estimation of underwater vehicle position and attitude using Doppler velocity aided inertial motion unit.” 1994. Web. 12 Dec 2019.

Vancouver:

Leader DE. Kalman filter estimation of underwater vehicle position and attitude using Doppler velocity aided inertial motion unit. [Internet] [Thesis]. MIT and Woods Hole Oceanographic Institution; 1994. [cited 2019 Dec 12]. Available from: http://hdl.handle.net/1912/2418.

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

Council of Science Editors:

Leader DE. Kalman filter estimation of underwater vehicle position and attitude using Doppler velocity aided inertial motion unit. [Thesis]. MIT and Woods Hole Oceanographic Institution; 1994. Available from: http://hdl.handle.net/1912/2418

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


University of Missouri – Columbia

18. Al-Naseri, Ahmed. Estimation of model states for a hydraulic valve system using an extended Kalman filter.

Degree: 2017, University of Missouri – Columbia

 [ACCESS RESTRICTED TO THE UNIVERSITY OF MISSOURI AT AUTHOR'S REQUEST.] Pilot valves are considered as one of most common types of valves in the industry… (more)

Subjects/Keywords: Automobiles – Motors – Valves; Hydraulic engineering; Kalman filtering

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APA (6th Edition):

Al-Naseri, A. (2017). Estimation of model states for a hydraulic valve system using an extended Kalman filter. (Thesis). University of Missouri – Columbia. Retrieved from http://hdl.handle.net/10355/62013

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

Chicago Manual of Style (16th Edition):

Al-Naseri, Ahmed. “Estimation of model states for a hydraulic valve system using an extended Kalman filter.” 2017. Thesis, University of Missouri – Columbia. Accessed December 12, 2019. http://hdl.handle.net/10355/62013.

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

MLA Handbook (7th Edition):

Al-Naseri, Ahmed. “Estimation of model states for a hydraulic valve system using an extended Kalman filter.” 2017. Web. 12 Dec 2019.

Vancouver:

Al-Naseri A. Estimation of model states for a hydraulic valve system using an extended Kalman filter. [Internet] [Thesis]. University of Missouri – Columbia; 2017. [cited 2019 Dec 12]. Available from: http://hdl.handle.net/10355/62013.

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

Council of Science Editors:

Al-Naseri A. Estimation of model states for a hydraulic valve system using an extended Kalman filter. [Thesis]. University of Missouri – Columbia; 2017. Available from: http://hdl.handle.net/10355/62013

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


University of Oklahoma

19. Yussouf, Nusrat. KALMAN FILTER BASED TECHNIQUES FOR ASSIMILATION OF RADAR DATA.

Degree: PhD, 2010, University of Oklahoma

 The assimilation of radar data in storm-scale numerical weather prediction models is essential for improved forecasts of thunderstorm events. The huge computational cost of assimilating… (more)

Subjects/Keywords: Kalman filtering; Radar meteorology; Weather forecasting

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APA (6th Edition):

Yussouf, N. (2010). KALMAN FILTER BASED TECHNIQUES FOR ASSIMILATION OF RADAR DATA. (Doctoral Dissertation). University of Oklahoma. Retrieved from http://hdl.handle.net/11244/319110

Chicago Manual of Style (16th Edition):

Yussouf, Nusrat. “KALMAN FILTER BASED TECHNIQUES FOR ASSIMILATION OF RADAR DATA.” 2010. Doctoral Dissertation, University of Oklahoma. Accessed December 12, 2019. http://hdl.handle.net/11244/319110.

MLA Handbook (7th Edition):

Yussouf, Nusrat. “KALMAN FILTER BASED TECHNIQUES FOR ASSIMILATION OF RADAR DATA.” 2010. Web. 12 Dec 2019.

Vancouver:

Yussouf N. KALMAN FILTER BASED TECHNIQUES FOR ASSIMILATION OF RADAR DATA. [Internet] [Doctoral dissertation]. University of Oklahoma; 2010. [cited 2019 Dec 12]. Available from: http://hdl.handle.net/11244/319110.

Council of Science Editors:

Yussouf N. KALMAN FILTER BASED TECHNIQUES FOR ASSIMILATION OF RADAR DATA. [Doctoral Dissertation]. University of Oklahoma; 2010. Available from: http://hdl.handle.net/11244/319110


Colorado School of Mines

20. Engler, Davis. Efficient stochastic computational framework for estimating and updating earthquake fatalities, An.

Degree: MS(M.S.), Applied Mathematics and Statistics, 2019, Colorado School of Mines

 Following an earthquake it is crucial to estimate the true scope of impact in terms of fatalities and damage as quickly as possible for efficient… (more)

Subjects/Keywords: Earthquake fatality estimation; Bayesian updating; Kalman filtering

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APA (6th Edition):

Engler, D. (2019). Efficient stochastic computational framework for estimating and updating earthquake fatalities, An. (Masters Thesis). Colorado School of Mines. Retrieved from http://hdl.handle.net/11124/173071

Chicago Manual of Style (16th Edition):

Engler, Davis. “Efficient stochastic computational framework for estimating and updating earthquake fatalities, An.” 2019. Masters Thesis, Colorado School of Mines. Accessed December 12, 2019. http://hdl.handle.net/11124/173071.

MLA Handbook (7th Edition):

Engler, Davis. “Efficient stochastic computational framework for estimating and updating earthquake fatalities, An.” 2019. Web. 12 Dec 2019.

Vancouver:

Engler D. Efficient stochastic computational framework for estimating and updating earthquake fatalities, An. [Internet] [Masters thesis]. Colorado School of Mines; 2019. [cited 2019 Dec 12]. Available from: http://hdl.handle.net/11124/173071.

Council of Science Editors:

Engler D. Efficient stochastic computational framework for estimating and updating earthquake fatalities, An. [Masters Thesis]. Colorado School of Mines; 2019. Available from: http://hdl.handle.net/11124/173071


George Mason University

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

Degree: 2014, George Mason University

 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 (6th 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 (16th Edition):

Ravichandran, Suraj. “Comparison of Di erent Kalman Filters for Application to Mobile Robotics .” 2014. Thesis, George Mason University. Accessed December 12, 2019. 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 (7th Edition):

Ravichandran, Suraj. “Comparison of Di erent Kalman Filters for Application to Mobile Robotics .” 2014. Web. 12 Dec 2019.

Vancouver:

Ravichandran S. Comparison of Di erent Kalman Filters for Application to Mobile Robotics . [Internet] [Thesis]. George Mason University; 2014. [cited 2019 Dec 12]. 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


Texas A&M University

22. McClenny, Levi Daniel. Optimal State Estimation for Partially Observed Boolean Dynamical Systems in the Presence of Correlated Observation Noise.

Degree: 2016, Texas A&M University

 Recently, state space signal models have been proposed to characterize the behavior of discrete-time boolean dynamical systems. The current system model is one in which… (more)

Subjects/Keywords: Boolean; Kalman; Filtering; Colored Noise; Correlated Noise; Particle Filtering

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APA (6th Edition):

McClenny, L. D. (2016). Optimal State Estimation for Partially Observed Boolean Dynamical Systems in the Presence of Correlated Observation Noise. (Thesis). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/157796

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

Chicago Manual of Style (16th Edition):

McClenny, Levi Daniel. “Optimal State Estimation for Partially Observed Boolean Dynamical Systems in the Presence of Correlated Observation Noise.” 2016. Thesis, Texas A&M University. Accessed December 12, 2019. http://hdl.handle.net/1969.1/157796.

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

MLA Handbook (7th Edition):

McClenny, Levi Daniel. “Optimal State Estimation for Partially Observed Boolean Dynamical Systems in the Presence of Correlated Observation Noise.” 2016. Web. 12 Dec 2019.

Vancouver:

McClenny LD. Optimal State Estimation for Partially Observed Boolean Dynamical Systems in the Presence of Correlated Observation Noise. [Internet] [Thesis]. Texas A&M University; 2016. [cited 2019 Dec 12]. Available from: http://hdl.handle.net/1969.1/157796.

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

Council of Science Editors:

McClenny LD. Optimal State Estimation for Partially Observed Boolean Dynamical Systems in the Presence of Correlated Observation Noise. [Thesis]. Texas A&M University; 2016. Available from: http://hdl.handle.net/1969.1/157796

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


Syracuse University

23. ZHENG, YUJIAO. Distributed Estimation and Performance Limits in Resource-constrained Wireless Sensor Networks.

Degree: PhD, Electrical Engineering and Computer Science, 2014, Syracuse University

  Distributed inference arising in sensor networks has been an interesting and promising discipline in recent years. The goal of this dissertation is to investigate… (more)

Subjects/Keywords: Bayesian estimation; Kalman filtering; Particle filtering; Sensor networks; Target tracking; Engineering

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APA (6th Edition):

ZHENG, Y. (2014). Distributed Estimation and Performance Limits in Resource-constrained Wireless Sensor Networks. (Doctoral Dissertation). Syracuse University. Retrieved from https://surface.syr.edu/etd/71

Chicago Manual of Style (16th Edition):

ZHENG, YUJIAO. “Distributed Estimation and Performance Limits in Resource-constrained Wireless Sensor Networks.” 2014. Doctoral Dissertation, Syracuse University. Accessed December 12, 2019. https://surface.syr.edu/etd/71.

MLA Handbook (7th Edition):

ZHENG, YUJIAO. “Distributed Estimation and Performance Limits in Resource-constrained Wireless Sensor Networks.” 2014. Web. 12 Dec 2019.

Vancouver:

ZHENG Y. Distributed Estimation and Performance Limits in Resource-constrained Wireless Sensor Networks. [Internet] [Doctoral dissertation]. Syracuse University; 2014. [cited 2019 Dec 12]. Available from: https://surface.syr.edu/etd/71.

Council of Science Editors:

ZHENG Y. Distributed Estimation and Performance Limits in Resource-constrained Wireless Sensor Networks. [Doctoral Dissertation]. Syracuse University; 2014. Available from: https://surface.syr.edu/etd/71

24. So, Ratanak. Extended Kalman Filter Simulink Model for Nonlinear System Modeling.

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

 The objective of the work presented herein is the development of the extended Kalman filter for nonlinear system modeling. A standard Kalman filter is a… (more)

Subjects/Keywords: Extended Kalman Filter; Kalman filtering

…The Extended Kalman Filter 4.1 Taylor Series Expansion The key to nonlinear Kalman filtering… …20 Bibliography [1] R. E. Kalman, “A new approach to linear filtering and… …Courses, 2001. [3] D. Simon, “Kalman filtering,” Embedded Systems Programming, vol. 14… …Pike, “Kalman filtering applied to statistical forecasting,” Management Science, vol. 23, no… …7, pp. 768–774, 1977. [8] D. Simon, “Using nonlinear kalman filtering to… 

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APA (6th Edition):

So, R. (2015). Extended Kalman Filter Simulink Model for Nonlinear System Modeling. (Masters Thesis). Oregon State University. Retrieved from http://hdl.handle.net/1957/56248

Chicago Manual of Style (16th Edition):

So, Ratanak. “Extended Kalman Filter Simulink Model for Nonlinear System Modeling.” 2015. Masters Thesis, Oregon State University. Accessed December 12, 2019. http://hdl.handle.net/1957/56248.

MLA Handbook (7th Edition):

So, Ratanak. “Extended Kalman Filter Simulink Model for Nonlinear System Modeling.” 2015. Web. 12 Dec 2019.

Vancouver:

So R. Extended Kalman Filter Simulink Model for Nonlinear System Modeling. [Internet] [Masters thesis]. Oregon State University; 2015. [cited 2019 Dec 12]. Available from: http://hdl.handle.net/1957/56248.

Council of Science Editors:

So R. Extended Kalman Filter Simulink Model for Nonlinear System Modeling. [Masters Thesis]. Oregon State University; 2015. Available from: http://hdl.handle.net/1957/56248


University of KwaZulu-Natal

25. Mardon, David W. Coastal water quality.

Degree: MS, Civil engineering, 2003, University of KwaZulu-Natal

 This research focuses on the pathogenic pollution of coastal recreational waters. Pollution of this resource can have serious social and economic implications. The health of… (more)

Subjects/Keywords: Civil engineering.; Kalman Filtering.; Enterococcus.

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APA (6th Edition):

Mardon, D. W. (2003). Coastal water quality. (Masters Thesis). University of KwaZulu-Natal. Retrieved from http://hdl.handle.net/10413/4209

Chicago Manual of Style (16th Edition):

Mardon, David W. “Coastal water quality.” 2003. Masters Thesis, University of KwaZulu-Natal. Accessed December 12, 2019. http://hdl.handle.net/10413/4209.

MLA Handbook (7th Edition):

Mardon, David W. “Coastal water quality.” 2003. Web. 12 Dec 2019.

Vancouver:

Mardon DW. Coastal water quality. [Internet] [Masters thesis]. University of KwaZulu-Natal; 2003. [cited 2019 Dec 12]. Available from: http://hdl.handle.net/10413/4209.

Council of Science Editors:

Mardon DW. Coastal water quality. [Masters Thesis]. University of KwaZulu-Natal; 2003. Available from: http://hdl.handle.net/10413/4209

26. Särkkä, Simo. Recursive Bayesian Inference on Stochastic Differential Equations.

Degree: 2006, Helsinki University of Technology

This thesis is concerned with recursive Bayesian estimation of non-linear dynamical systems, which can be modeled as discretely observed stochastic differential equations. The recursive real-time… (more)

Subjects/Keywords: Bayesian inference; continuous-discrete filtering; unscented Kalman filter; particle filter

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APA (6th Edition):

Särkkä, S. (2006). Recursive Bayesian Inference on Stochastic Differential Equations. (Thesis). Helsinki University of Technology. Retrieved from http://lib.tkk.fi/Diss/2006/isbn9512281279/

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

Chicago Manual of Style (16th Edition):

Särkkä, Simo. “Recursive Bayesian Inference on Stochastic Differential Equations.” 2006. Thesis, Helsinki University of Technology. Accessed December 12, 2019. http://lib.tkk.fi/Diss/2006/isbn9512281279/.

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

MLA Handbook (7th Edition):

Särkkä, Simo. “Recursive Bayesian Inference on Stochastic Differential Equations.” 2006. Web. 12 Dec 2019.

Vancouver:

Särkkä S. Recursive Bayesian Inference on Stochastic Differential Equations. [Internet] [Thesis]. Helsinki University of Technology; 2006. [cited 2019 Dec 12]. Available from: http://lib.tkk.fi/Diss/2006/isbn9512281279/.

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

Council of Science Editors:

Särkkä S. Recursive Bayesian Inference on Stochastic Differential Equations. [Thesis]. Helsinki University of Technology; 2006. Available from: http://lib.tkk.fi/Diss/2006/isbn9512281279/

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


University of Alberta

27. Sun, Xiaoqing, Sun. Discrete control and estimation of two time-scale systems.

Degree: MS, Department of Electrical Engineering, 1986, University of Alberta

Subjects/Keywords: Electric controllers – Design.; Kalman filtering.

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APA (6th Edition):

Sun, Xiaoqing, S. (1986). Discrete control and estimation of two time-scale systems. (Masters Thesis). University of Alberta. Retrieved from https://era.library.ualberta.ca/files/zs25xb59v

Chicago Manual of Style (16th Edition):

Sun, Xiaoqing, Sun. “Discrete control and estimation of two time-scale systems.” 1986. Masters Thesis, University of Alberta. Accessed December 12, 2019. https://era.library.ualberta.ca/files/zs25xb59v.

MLA Handbook (7th Edition):

Sun, Xiaoqing, Sun. “Discrete control and estimation of two time-scale systems.” 1986. Web. 12 Dec 2019.

Vancouver:

Sun, Xiaoqing S. Discrete control and estimation of two time-scale systems. [Internet] [Masters thesis]. University of Alberta; 1986. [cited 2019 Dec 12]. Available from: https://era.library.ualberta.ca/files/zs25xb59v.

Council of Science Editors:

Sun, Xiaoqing S. Discrete control and estimation of two time-scale systems. [Masters Thesis]. University of Alberta; 1986. Available from: https://era.library.ualberta.ca/files/zs25xb59v


Texas A&M University

28. Li, Di. Distributed Signal Processing over Large-Scale Complex Systems.

Degree: 2017, Texas A&M University

 Large-scale and complex dynamical networks with high-dimension states have been emerging in the era of big data, which potentially generate massive data sets. To deal… (more)

Subjects/Keywords: Signal processing; large system; distributed algorithm; Kalman filtering; quickest detection

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APA (6th Edition):

Li, D. (2017). Distributed Signal Processing over Large-Scale Complex Systems. (Thesis). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/161279

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

Chicago Manual of Style (16th Edition):

Li, Di. “Distributed Signal Processing over Large-Scale Complex Systems.” 2017. Thesis, Texas A&M University. Accessed December 12, 2019. http://hdl.handle.net/1969.1/161279.

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

MLA Handbook (7th Edition):

Li, Di. “Distributed Signal Processing over Large-Scale Complex Systems.” 2017. Web. 12 Dec 2019.

Vancouver:

Li D. Distributed Signal Processing over Large-Scale Complex Systems. [Internet] [Thesis]. Texas A&M University; 2017. [cited 2019 Dec 12]. Available from: http://hdl.handle.net/1969.1/161279.

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

Council of Science Editors:

Li D. Distributed Signal Processing over Large-Scale Complex Systems. [Thesis]. Texas A&M University; 2017. Available from: http://hdl.handle.net/1969.1/161279

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


Texas A&M University

29. Bondugula, Srikant. OPTIMAL CONTROL OF PROJECTS BASED ON KALMAN FILTER APPROACH FOR TRACKING & FORECASTING THE PROJECT PERFORMANCE.

Degree: 2010, Texas A&M University

 Traditional scheduling tools like Gantt Charts and CPM while useful in planning and execution of complex construction projects with multiple interdependent activities haven?t been of… (more)

Subjects/Keywords: Project Management; Optimal Project Control; Model Estimation; Kalman Filtering

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APA (6th Edition):

Bondugula, S. (2010). OPTIMAL CONTROL OF PROJECTS BASED ON KALMAN FILTER APPROACH FOR TRACKING & FORECASTING THE PROJECT PERFORMANCE. (Thesis). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/ETD-TAMU-2009-05-263

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

Chicago Manual of Style (16th Edition):

Bondugula, Srikant. “OPTIMAL CONTROL OF PROJECTS BASED ON KALMAN FILTER APPROACH FOR TRACKING & FORECASTING THE PROJECT PERFORMANCE.” 2010. Thesis, Texas A&M University. Accessed December 12, 2019. http://hdl.handle.net/1969.1/ETD-TAMU-2009-05-263.

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

MLA Handbook (7th Edition):

Bondugula, Srikant. “OPTIMAL CONTROL OF PROJECTS BASED ON KALMAN FILTER APPROACH FOR TRACKING & FORECASTING THE PROJECT PERFORMANCE.” 2010. Web. 12 Dec 2019.

Vancouver:

Bondugula S. OPTIMAL CONTROL OF PROJECTS BASED ON KALMAN FILTER APPROACH FOR TRACKING & FORECASTING THE PROJECT PERFORMANCE. [Internet] [Thesis]. Texas A&M University; 2010. [cited 2019 Dec 12]. Available from: http://hdl.handle.net/1969.1/ETD-TAMU-2009-05-263.

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

Council of Science Editors:

Bondugula S. OPTIMAL CONTROL OF PROJECTS BASED ON KALMAN FILTER APPROACH FOR TRACKING & FORECASTING THE PROJECT PERFORMANCE. [Thesis]. Texas A&M University; 2010. Available from: http://hdl.handle.net/1969.1/ETD-TAMU-2009-05-263

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


Texas A&M University

30. Woodbury, Drew Patton. Accounting for Parameter Uncertainty in Reduced-Order Static and Dynamic Systems.

Degree: 2012, Texas A&M University

 Parametric uncertainty is one of many possible causes of divergence for the Kalman filter. Frequently, state estimation errors caused by imperfect model parameters are reduced… (more)

Subjects/Keywords: estimation; Kalman filter; reduced order; minimum variance filtering

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

APA (6th Edition):

Woodbury, D. P. (2012). Accounting for Parameter Uncertainty in Reduced-Order Static and Dynamic Systems. (Thesis). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/ETD-TAMU-2011-12-10220

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

Chicago Manual of Style (16th Edition):

Woodbury, Drew Patton. “Accounting for Parameter Uncertainty in Reduced-Order Static and Dynamic Systems.” 2012. Thesis, Texas A&M University. Accessed December 12, 2019. http://hdl.handle.net/1969.1/ETD-TAMU-2011-12-10220.

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

MLA Handbook (7th Edition):

Woodbury, Drew Patton. “Accounting for Parameter Uncertainty in Reduced-Order Static and Dynamic Systems.” 2012. Web. 12 Dec 2019.

Vancouver:

Woodbury DP. Accounting for Parameter Uncertainty in Reduced-Order Static and Dynamic Systems. [Internet] [Thesis]. Texas A&M University; 2012. [cited 2019 Dec 12]. Available from: http://hdl.handle.net/1969.1/ETD-TAMU-2011-12-10220.

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

Council of Science Editors:

Woodbury DP. Accounting for Parameter Uncertainty in Reduced-Order Static and Dynamic Systems. [Thesis]. Texas A&M University; 2012. Available from: http://hdl.handle.net/1969.1/ETD-TAMU-2011-12-10220

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

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