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You searched for subject:(nonlinear filtering). Showing records 1 – 30 of 89 total matches.

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University of New Mexico

1. Cook, Robert. Continuous Measurement and Stochastic Methods in Quantum Optical Systems.

Degree: Physics & Astronomy, 2013, University of New Mexico

 This dissertation studies the statistics and modeling of a quantum system probed by a coherent laser field. We focus on an ensemble of qubits dispersively… (more)

Subjects/Keywords: Quantum measurement; Quantum tomography; nonlinear filtering

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APA (6th Edition):

Cook, R. (2013). Continuous Measurement and Stochastic Methods in Quantum Optical Systems. (Doctoral Dissertation). University of New Mexico. Retrieved from http://hdl.handle.net/1928/23093

Chicago Manual of Style (16th Edition):

Cook, Robert. “Continuous Measurement and Stochastic Methods in Quantum Optical Systems.” 2013. Doctoral Dissertation, University of New Mexico. Accessed March 04, 2021. http://hdl.handle.net/1928/23093.

MLA Handbook (7th Edition):

Cook, Robert. “Continuous Measurement and Stochastic Methods in Quantum Optical Systems.” 2013. Web. 04 Mar 2021.

Vancouver:

Cook R. Continuous Measurement and Stochastic Methods in Quantum Optical Systems. [Internet] [Doctoral dissertation]. University of New Mexico; 2013. [cited 2021 Mar 04]. Available from: http://hdl.handle.net/1928/23093.

Council of Science Editors:

Cook R. Continuous Measurement and Stochastic Methods in Quantum Optical Systems. [Doctoral Dissertation]. University of New Mexico; 2013. Available from: http://hdl.handle.net/1928/23093


California State University – Northridge

2. Zambri, Brian. Mathematical Analysis and Numerical Computation of the Brain Response to Single-Event-Related Stimuli.

Degree: MS, Department of Mathematics, 2015, California State University – Northridge

 The goal of this study is to analyze mathematically and numerically the hemodynamic mathematical model that describes changes in blood flow and blood oxygenation during… (more)

Subjects/Keywords: nonlinear filtering; Dissertations, Academic  – CSUN  – Mathematics.

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APA (6th Edition):

Zambri, B. (2015). Mathematical Analysis and Numerical Computation of the Brain Response to Single-Event-Related Stimuli. (Masters Thesis). California State University – Northridge. Retrieved from http://hdl.handle.net/10211.3/141810

Chicago Manual of Style (16th Edition):

Zambri, Brian. “Mathematical Analysis and Numerical Computation of the Brain Response to Single-Event-Related Stimuli.” 2015. Masters Thesis, California State University – Northridge. Accessed March 04, 2021. http://hdl.handle.net/10211.3/141810.

MLA Handbook (7th Edition):

Zambri, Brian. “Mathematical Analysis and Numerical Computation of the Brain Response to Single-Event-Related Stimuli.” 2015. Web. 04 Mar 2021.

Vancouver:

Zambri B. Mathematical Analysis and Numerical Computation of the Brain Response to Single-Event-Related Stimuli. [Internet] [Masters thesis]. California State University – Northridge; 2015. [cited 2021 Mar 04]. Available from: http://hdl.handle.net/10211.3/141810.

Council of Science Editors:

Zambri B. Mathematical Analysis and Numerical Computation of the Brain Response to Single-Event-Related Stimuli. [Masters Thesis]. California State University – Northridge; 2015. Available from: http://hdl.handle.net/10211.3/141810


University of Tennessee – Knoxville

3. Li, Zhiqiang. Stability of Nonlinear Filters and Branching Particle Approximations to The Filtering Problems.

Degree: 2012, University of Tennessee – Knoxville

 Various particle filters have been proposed and their convergence to the optimal filter are obtained for finite time intervals. However, uniform convergence results have been… (more)

Subjects/Keywords: nonlinear filtering; branching particle aproximation; Probability

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APA (6th Edition):

Li, Z. (2012). Stability of Nonlinear Filters and Branching Particle Approximations to The Filtering Problems. (Doctoral Dissertation). University of Tennessee – Knoxville. Retrieved from https://trace.tennessee.edu/utk_graddiss/1322

Chicago Manual of Style (16th Edition):

Li, Zhiqiang. “Stability of Nonlinear Filters and Branching Particle Approximations to The Filtering Problems.” 2012. Doctoral Dissertation, University of Tennessee – Knoxville. Accessed March 04, 2021. https://trace.tennessee.edu/utk_graddiss/1322.

MLA Handbook (7th Edition):

Li, Zhiqiang. “Stability of Nonlinear Filters and Branching Particle Approximations to The Filtering Problems.” 2012. Web. 04 Mar 2021.

Vancouver:

Li Z. Stability of Nonlinear Filters and Branching Particle Approximations to The Filtering Problems. [Internet] [Doctoral dissertation]. University of Tennessee – Knoxville; 2012. [cited 2021 Mar 04]. Available from: https://trace.tennessee.edu/utk_graddiss/1322.

Council of Science Editors:

Li Z. Stability of Nonlinear Filters and Branching Particle Approximations to The Filtering Problems. [Doctoral Dissertation]. University of Tennessee – Knoxville; 2012. Available from: https://trace.tennessee.edu/utk_graddiss/1322


University of Southern California

4. Johnson, Daniel M. The wavelet filter: a new method for nonlinear, nongaussian filtering in one dimension.

Degree: MS, Computer Science, 2009, University of Southern California

 While classical orthogonal function systems (COFS) are very successful at approximating static functions, there are several problems with using them in multi-stage estimation. These problems… (more)

Subjects/Keywords: nonlinear estimation; nonlinear filtering; wavelets

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APA (6th Edition):

Johnson, D. M. (2009). The wavelet filter: a new method for nonlinear, nongaussian filtering in one dimension. (Masters Thesis). University of Southern California. Retrieved from http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/172277/rec/7408

Chicago Manual of Style (16th Edition):

Johnson, Daniel M. “The wavelet filter: a new method for nonlinear, nongaussian filtering in one dimension.” 2009. Masters Thesis, University of Southern California. Accessed March 04, 2021. http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/172277/rec/7408.

MLA Handbook (7th Edition):

Johnson, Daniel M. “The wavelet filter: a new method for nonlinear, nongaussian filtering in one dimension.” 2009. Web. 04 Mar 2021.

Vancouver:

Johnson DM. The wavelet filter: a new method for nonlinear, nongaussian filtering in one dimension. [Internet] [Masters thesis]. University of Southern California; 2009. [cited 2021 Mar 04]. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/172277/rec/7408.

Council of Science Editors:

Johnson DM. The wavelet filter: a new method for nonlinear, nongaussian filtering in one dimension. [Masters Thesis]. University of Southern California; 2009. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/172277/rec/7408


Kansas State University

5. Scutti, Dale. Digital implementation and parameter tuning of adaptive nonlinear differential limiters.

Degree: MS, Department of Electrical and Computer Engineering, 2016, Kansas State University

 It has been shown that the performance of communications systems can be severely limited by non-Gaussian and impulsive interference from a variety of sources. The… (more)

Subjects/Keywords: Adaptive nonlinear differential limiter; Nonlinear filtering; Digital signal processing

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APA (6th Edition):

Scutti, D. (2016). Digital implementation and parameter tuning of adaptive nonlinear differential limiters. (Masters Thesis). Kansas State University. Retrieved from http://hdl.handle.net/2097/32218

Chicago Manual of Style (16th Edition):

Scutti, Dale. “Digital implementation and parameter tuning of adaptive nonlinear differential limiters.” 2016. Masters Thesis, Kansas State University. Accessed March 04, 2021. http://hdl.handle.net/2097/32218.

MLA Handbook (7th Edition):

Scutti, Dale. “Digital implementation and parameter tuning of adaptive nonlinear differential limiters.” 2016. Web. 04 Mar 2021.

Vancouver:

Scutti D. Digital implementation and parameter tuning of adaptive nonlinear differential limiters. [Internet] [Masters thesis]. Kansas State University; 2016. [cited 2021 Mar 04]. Available from: http://hdl.handle.net/2097/32218.

Council of Science Editors:

Scutti D. Digital implementation and parameter tuning of adaptive nonlinear differential limiters. [Masters Thesis]. Kansas State University; 2016. Available from: http://hdl.handle.net/2097/32218


University of Vermont

6. Erazo, Kalil. Bayesian Filtering In Nonlinear Structural Systems With Application To Structural Health Monitoring.

Degree: PhD, Civil and Environmental Engineering, 2015, University of Vermont

  During strong earthquakes structural systems exhibit nonlinear behavior due to low-cycle fatigue, cracking, yielding and/or fracture of constituent elements. After a seismic event it… (more)

Subjects/Keywords: Bayesian filtering; Nonlinear filtering; Seismic damage; Structural health monitoring; Vibration measurements; Civil Engineering

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APA (6th Edition):

Erazo, K. (2015). Bayesian Filtering In Nonlinear Structural Systems With Application To Structural Health Monitoring. (Doctoral Dissertation). University of Vermont. Retrieved from https://scholarworks.uvm.edu/graddis/513

Chicago Manual of Style (16th Edition):

Erazo, Kalil. “Bayesian Filtering In Nonlinear Structural Systems With Application To Structural Health Monitoring.” 2015. Doctoral Dissertation, University of Vermont. Accessed March 04, 2021. https://scholarworks.uvm.edu/graddis/513.

MLA Handbook (7th Edition):

Erazo, Kalil. “Bayesian Filtering In Nonlinear Structural Systems With Application To Structural Health Monitoring.” 2015. Web. 04 Mar 2021.

Vancouver:

Erazo K. Bayesian Filtering In Nonlinear Structural Systems With Application To Structural Health Monitoring. [Internet] [Doctoral dissertation]. University of Vermont; 2015. [cited 2021 Mar 04]. Available from: https://scholarworks.uvm.edu/graddis/513.

Council of Science Editors:

Erazo K. Bayesian Filtering In Nonlinear Structural Systems With Application To Structural Health Monitoring. [Doctoral Dissertation]. University of Vermont; 2015. Available from: https://scholarworks.uvm.edu/graddis/513


University of Illinois – Urbana-Champaign

7. Yang, Tao. Feedback particle filter and its applications.

Degree: PhD, 0133, 2014, University of Illinois – Urbana-Champaign

 The purpose of nonlinear filtering is to extract useful information from noisy sensor data. It finds applications in all disciplines of science and engineering, including… (more)

Subjects/Keywords: Nonlinear filtering; estimation; particle filtering; statistical signal processing; optimal transportation; target tracking

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APA (6th Edition):

Yang, T. (2014). Feedback particle filter and its applications. (Doctoral Dissertation). University of Illinois – Urbana-Champaign. Retrieved from http://hdl.handle.net/2142/50708

Chicago Manual of Style (16th Edition):

Yang, Tao. “Feedback particle filter and its applications.” 2014. Doctoral Dissertation, University of Illinois – Urbana-Champaign. Accessed March 04, 2021. http://hdl.handle.net/2142/50708.

MLA Handbook (7th Edition):

Yang, Tao. “Feedback particle filter and its applications.” 2014. Web. 04 Mar 2021.

Vancouver:

Yang T. Feedback particle filter and its applications. [Internet] [Doctoral dissertation]. University of Illinois – Urbana-Champaign; 2014. [cited 2021 Mar 04]. Available from: http://hdl.handle.net/2142/50708.

Council of Science Editors:

Yang T. Feedback particle filter and its applications. [Doctoral Dissertation]. University of Illinois – Urbana-Champaign; 2014. Available from: http://hdl.handle.net/2142/50708


University of Newcastle

8. Cea Garrido, Mauricio Esteban. Sampling and quantization in nonlinear filtering and control.

Degree: 2012, University of Newcastle

Research Doctorate - Doctor of Philosophy

The thesis describes contributions made in two areas, namely, aspects of nonlinear filtering and control over communication channels. Specifically,… (more)

Subjects/Keywords: nonlinear filtering; quantization; sampled data; nonlinear MPC; WCDMA; networked control; constrained bit rate

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APA (6th Edition):

Cea Garrido, M. E. (2012). Sampling and quantization in nonlinear filtering and control. (Thesis). University of Newcastle. Retrieved from http://hdl.handle.net/1959.13/935346

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):

Cea Garrido, Mauricio Esteban. “Sampling and quantization in nonlinear filtering and control.” 2012. Thesis, University of Newcastle. Accessed March 04, 2021. http://hdl.handle.net/1959.13/935346.

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

MLA Handbook (7th Edition):

Cea Garrido, Mauricio Esteban. “Sampling and quantization in nonlinear filtering and control.” 2012. Web. 04 Mar 2021.

Vancouver:

Cea Garrido ME. Sampling and quantization in nonlinear filtering and control. [Internet] [Thesis]. University of Newcastle; 2012. [cited 2021 Mar 04]. Available from: http://hdl.handle.net/1959.13/935346.

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

Council of Science Editors:

Cea Garrido ME. Sampling and quantization in nonlinear filtering and control. [Thesis]. University of Newcastle; 2012. Available from: http://hdl.handle.net/1959.13/935346

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


Mississippi State University

9. Jia, Bin. THE SPARSE-GRID BASED NONLINEAR FILTER: THEORY AND APPLICATIONS.

Degree: PhD, Aerospace Engineering, 2012, Mississippi State University

Filtering or estimation is of great importance to virtually all disciplines of engineering and science that need inference, learning, information fusion, and knowledge discovery… (more)

Subjects/Keywords: Numerical Integral; Estimation; Navigation; Bayesian nonlinear filtering; Sparse-grid

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APA (6th Edition):

Jia, B. (2012). THE SPARSE-GRID BASED NONLINEAR FILTER: THEORY AND APPLICATIONS. (Doctoral Dissertation). Mississippi State University. Retrieved from http://sun.library.msstate.edu/ETD-db/theses/available/etd-03012012-152723/ ;

Chicago Manual of Style (16th Edition):

Jia, Bin. “THE SPARSE-GRID BASED NONLINEAR FILTER: THEORY AND APPLICATIONS.” 2012. Doctoral Dissertation, Mississippi State University. Accessed March 04, 2021. http://sun.library.msstate.edu/ETD-db/theses/available/etd-03012012-152723/ ;.

MLA Handbook (7th Edition):

Jia, Bin. “THE SPARSE-GRID BASED NONLINEAR FILTER: THEORY AND APPLICATIONS.” 2012. Web. 04 Mar 2021.

Vancouver:

Jia B. THE SPARSE-GRID BASED NONLINEAR FILTER: THEORY AND APPLICATIONS. [Internet] [Doctoral dissertation]. Mississippi State University; 2012. [cited 2021 Mar 04]. Available from: http://sun.library.msstate.edu/ETD-db/theses/available/etd-03012012-152723/ ;.

Council of Science Editors:

Jia B. THE SPARSE-GRID BASED NONLINEAR FILTER: THEORY AND APPLICATIONS. [Doctoral Dissertation]. Mississippi State University; 2012. Available from: http://sun.library.msstate.edu/ETD-db/theses/available/etd-03012012-152723/ ;


University of Georgia

10. Lyubimov, Konstantin. Valuation of residential mortgage default and prepayment under stochastic house prices.

Degree: 2014, University of Georgia

 This dissertation applies a valuation model for residential mortgages subject to exogenously specified conditional probabilities of prepayment and default to data on subprime and Alt-A… (more)

Subjects/Keywords: doubly stochastic; default; prepayment; latent factor; nonlinear filtering; mortgage valuation

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APA (6th Edition):

Lyubimov, K. (2014). Valuation of residential mortgage default and prepayment under stochastic house prices. (Thesis). University of Georgia. Retrieved from http://hdl.handle.net/10724/26392

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):

Lyubimov, Konstantin. “Valuation of residential mortgage default and prepayment under stochastic house prices.” 2014. Thesis, University of Georgia. Accessed March 04, 2021. http://hdl.handle.net/10724/26392.

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

MLA Handbook (7th Edition):

Lyubimov, Konstantin. “Valuation of residential mortgage default and prepayment under stochastic house prices.” 2014. Web. 04 Mar 2021.

Vancouver:

Lyubimov K. Valuation of residential mortgage default and prepayment under stochastic house prices. [Internet] [Thesis]. University of Georgia; 2014. [cited 2021 Mar 04]. Available from: http://hdl.handle.net/10724/26392.

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

Council of Science Editors:

Lyubimov K. Valuation of residential mortgage default and prepayment under stochastic house prices. [Thesis]. University of Georgia; 2014. Available from: http://hdl.handle.net/10724/26392

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


Texas A&M University

11. Weisman, Ryan Michael 1984-. Nonlinear Transformations and Filtering Theory for Space Operations.

Degree: PhD, Aerospace Engineering, 2012, Texas A&M University

 Decisions for asset allocation and protection are predicated upon accurate knowledge of the current operating environment as well as correctly characterizing the evolution of the… (more)

Subjects/Keywords: filter initialization; uncertainty estimation; bayesian filtering; nonlinear estimation; space surveillance

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APA (6th Edition):

Weisman, R. M. 1. (2012). Nonlinear Transformations and Filtering Theory for Space Operations. (Doctoral Dissertation). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/148211

Chicago Manual of Style (16th Edition):

Weisman, Ryan Michael 1984-. “Nonlinear Transformations and Filtering Theory for Space Operations.” 2012. Doctoral Dissertation, Texas A&M University. Accessed March 04, 2021. http://hdl.handle.net/1969.1/148211.

MLA Handbook (7th Edition):

Weisman, Ryan Michael 1984-. “Nonlinear Transformations and Filtering Theory for Space Operations.” 2012. Web. 04 Mar 2021.

Vancouver:

Weisman RM1. Nonlinear Transformations and Filtering Theory for Space Operations. [Internet] [Doctoral dissertation]. Texas A&M University; 2012. [cited 2021 Mar 04]. Available from: http://hdl.handle.net/1969.1/148211.

Council of Science Editors:

Weisman RM1. Nonlinear Transformations and Filtering Theory for Space Operations. [Doctoral Dissertation]. Texas A&M University; 2012. Available from: http://hdl.handle.net/1969.1/148211


University of Illinois – Urbana-Champaign

12. Medarametla, Krishna Kalyan. Comparison of two nonlinear filtering techniques - the extended Kalman filter and the feedback particle filter.

Degree: MS, 0133, 2014, University of Illinois – Urbana-Champaign

 In a recent work it has been shown that importance sampling can be avoided in particle filter through an innovation structure inspired by traditional nonlinear(more)

Subjects/Keywords: Extended Kalman filter; Feedback particle filter; Comparison; Nonlinear filtering

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APA (6th Edition):

Medarametla, K. K. (2014). Comparison of two nonlinear filtering techniques - the extended Kalman filter and the feedback particle filter. (Thesis). University of Illinois – Urbana-Champaign. Retrieved from http://hdl.handle.net/2142/50584

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):

Medarametla, Krishna Kalyan. “Comparison of two nonlinear filtering techniques - the extended Kalman filter and the feedback particle filter.” 2014. Thesis, University of Illinois – Urbana-Champaign. Accessed March 04, 2021. http://hdl.handle.net/2142/50584.

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

MLA Handbook (7th Edition):

Medarametla, Krishna Kalyan. “Comparison of two nonlinear filtering techniques - the extended Kalman filter and the feedback particle filter.” 2014. Web. 04 Mar 2021.

Vancouver:

Medarametla KK. Comparison of two nonlinear filtering techniques - the extended Kalman filter and the feedback particle filter. [Internet] [Thesis]. University of Illinois – Urbana-Champaign; 2014. [cited 2021 Mar 04]. Available from: http://hdl.handle.net/2142/50584.

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

Council of Science Editors:

Medarametla KK. Comparison of two nonlinear filtering techniques - the extended Kalman filter and the feedback particle filter. [Thesis]. University of Illinois – Urbana-Champaign; 2014. Available from: http://hdl.handle.net/2142/50584

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


University of Tennessee – Knoxville

13. Pan, Xiaoyang. Asymptotics for dynamical systems driven by jump noise.

Degree: 2018, University of Tennessee – Knoxville

 This dissertation studies asymptotic estimates for dynamical systems with jumps. We first focus on the parameter estimation problem for a linear partially observed system. A… (more)

Subjects/Keywords: Partially observed system; Jump noise; Large and moderate deviations; Nonlinear filtering

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APA (6th Edition):

Pan, X. (2018). Asymptotics for dynamical systems driven by jump noise. (Doctoral Dissertation). University of Tennessee – Knoxville. Retrieved from https://trace.tennessee.edu/utk_graddiss/5065

Chicago Manual of Style (16th Edition):

Pan, Xiaoyang. “Asymptotics for dynamical systems driven by jump noise.” 2018. Doctoral Dissertation, University of Tennessee – Knoxville. Accessed March 04, 2021. https://trace.tennessee.edu/utk_graddiss/5065.

MLA Handbook (7th Edition):

Pan, Xiaoyang. “Asymptotics for dynamical systems driven by jump noise.” 2018. Web. 04 Mar 2021.

Vancouver:

Pan X. Asymptotics for dynamical systems driven by jump noise. [Internet] [Doctoral dissertation]. University of Tennessee – Knoxville; 2018. [cited 2021 Mar 04]. Available from: https://trace.tennessee.edu/utk_graddiss/5065.

Council of Science Editors:

Pan X. Asymptotics for dynamical systems driven by jump noise. [Doctoral Dissertation]. University of Tennessee – Knoxville; 2018. Available from: https://trace.tennessee.edu/utk_graddiss/5065


Michigan State University

14. Boker, Almuatazbellah Muftah. Estimation and control of nonlinear systems using extended high-gain observers.

Degree: 2013, Michigan State University

Thesis Ph. D. Michigan State University. Electrical Engineering 2013.

Providing accurate state estimation is important for many systems. This is especially the case for systems… (more)

Subjects/Keywords: Nonlinear systems; Estimation theory; Control theory; Kalman filtering; Electrical engineering

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APA (6th Edition):

Boker, A. M. (2013). Estimation and control of nonlinear systems using extended high-gain observers. (Thesis). Michigan State University. Retrieved from http://etd.lib.msu.edu/islandora/object/etd:2275

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):

Boker, Almuatazbellah Muftah. “Estimation and control of nonlinear systems using extended high-gain observers.” 2013. Thesis, Michigan State University. Accessed March 04, 2021. http://etd.lib.msu.edu/islandora/object/etd:2275.

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

MLA Handbook (7th Edition):

Boker, Almuatazbellah Muftah. “Estimation and control of nonlinear systems using extended high-gain observers.” 2013. Web. 04 Mar 2021.

Vancouver:

Boker AM. Estimation and control of nonlinear systems using extended high-gain observers. [Internet] [Thesis]. Michigan State University; 2013. [cited 2021 Mar 04]. Available from: http://etd.lib.msu.edu/islandora/object/etd:2275.

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

Council of Science Editors:

Boker AM. Estimation and control of nonlinear systems using extended high-gain observers. [Thesis]. Michigan State University; 2013. Available from: http://etd.lib.msu.edu/islandora/object/etd:2275

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

15. Liu, Kun-Chu. Model-based failure detection in induction motors using nonlinear filtering.

Degree: PhD, Systems and Control Engineering, 1995, Case Western Reserve University School of Graduate Studies

 In this dissertation, we present a model-based failure detection method for induction motors. Our method addresses two failure modes of the squirrel-cage induction motors; namely,… (more)

Subjects/Keywords: Induction motors; Nonlinear filtering

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APA (6th Edition):

Liu, K. (1995). Model-based failure detection in induction motors using nonlinear filtering. (Doctoral Dissertation). Case Western Reserve University School of Graduate Studies. Retrieved from http://rave.ohiolink.edu/etdc/view?acc_num=case1058279752

Chicago Manual of Style (16th Edition):

Liu, Kun-Chu. “Model-based failure detection in induction motors using nonlinear filtering.” 1995. Doctoral Dissertation, Case Western Reserve University School of Graduate Studies. Accessed March 04, 2021. http://rave.ohiolink.edu/etdc/view?acc_num=case1058279752.

MLA Handbook (7th Edition):

Liu, Kun-Chu. “Model-based failure detection in induction motors using nonlinear filtering.” 1995. Web. 04 Mar 2021.

Vancouver:

Liu K. Model-based failure detection in induction motors using nonlinear filtering. [Internet] [Doctoral dissertation]. Case Western Reserve University School of Graduate Studies; 1995. [cited 2021 Mar 04]. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=case1058279752.

Council of Science Editors:

Liu K. Model-based failure detection in induction motors using nonlinear filtering. [Doctoral Dissertation]. Case Western Reserve University School of Graduate Studies; 1995. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=case1058279752


Virginia Tech

16. Netto, Marcos. Robust Identification, Estimation, and Control of Electric Power Systems using the Koopman Operator-Theoretic Framework.

Degree: PhD, Electrical Engineering, 2019, Virginia Tech

 Electric power systems are complex, large-scale, and given the bidirectional causality between economic growth and electricity consumption, they are constantly being expanded. In the U.S.,… (more)

Subjects/Keywords: Dynamical systems; Kalman filtering; Koopman operator; Koopman mode decomposition; modal analysis; nonlinear identification; nonlinear dynamics; participation factors; robust estimation and filtering; power system stability and control

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APA (6th Edition):

Netto, M. (2019). Robust Identification, Estimation, and Control of Electric Power Systems using the Koopman Operator-Theoretic Framework. (Doctoral Dissertation). Virginia Tech. Retrieved from http://hdl.handle.net/10919/87728

Chicago Manual of Style (16th Edition):

Netto, Marcos. “Robust Identification, Estimation, and Control of Electric Power Systems using the Koopman Operator-Theoretic Framework.” 2019. Doctoral Dissertation, Virginia Tech. Accessed March 04, 2021. http://hdl.handle.net/10919/87728.

MLA Handbook (7th Edition):

Netto, Marcos. “Robust Identification, Estimation, and Control of Electric Power Systems using the Koopman Operator-Theoretic Framework.” 2019. Web. 04 Mar 2021.

Vancouver:

Netto M. Robust Identification, Estimation, and Control of Electric Power Systems using the Koopman Operator-Theoretic Framework. [Internet] [Doctoral dissertation]. Virginia Tech; 2019. [cited 2021 Mar 04]. Available from: http://hdl.handle.net/10919/87728.

Council of Science Editors:

Netto M. Robust Identification, Estimation, and Control of Electric Power Systems using the Koopman Operator-Theoretic Framework. [Doctoral Dissertation]. Virginia Tech; 2019. Available from: http://hdl.handle.net/10919/87728


University of Alberta

17. Xu, Ning. Nonlinear control of a voltage source converter.

Degree: MS, Department of Electrical and Computer Engineering, 2010, University of Alberta

 Due to its unique features such as controllable power factor, controllable bi-directional power flow, and rapid dynamic response, Voltage Source Converters (VSCs) have been widely… (more)

Subjects/Keywords: voltage source converter; experimental verification; active filtering; nonlinear control; power factor control

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APA (6th Edition):

Xu, N. (2010). Nonlinear control of a voltage source converter. (Masters Thesis). University of Alberta. Retrieved from https://era.library.ualberta.ca/files/1r66j1174

Chicago Manual of Style (16th Edition):

Xu, Ning. “Nonlinear control of a voltage source converter.” 2010. Masters Thesis, University of Alberta. Accessed March 04, 2021. https://era.library.ualberta.ca/files/1r66j1174.

MLA Handbook (7th Edition):

Xu, Ning. “Nonlinear control of a voltage source converter.” 2010. Web. 04 Mar 2021.

Vancouver:

Xu N. Nonlinear control of a voltage source converter. [Internet] [Masters thesis]. University of Alberta; 2010. [cited 2021 Mar 04]. Available from: https://era.library.ualberta.ca/files/1r66j1174.

Council of Science Editors:

Xu N. Nonlinear control of a voltage source converter. [Masters Thesis]. University of Alberta; 2010. Available from: https://era.library.ualberta.ca/files/1r66j1174


Penn State University

18. Hussain, Magni Stentoft. Adaptive Digital Filtering Using the Bio-Inspired Firefly Algorithm.

Degree: 2019, Penn State University

 In recent literature, bio-inspired optimization algorithms have been shown to perform well in IIR and nonlinear applications. A relatively new bio-inspired optimization algorithm, the Firefly… (more)

Subjects/Keywords: Adaptive Filtering; Firefly Algorithm; IIR Filter; Nonlinear Filter; System Identification; Fetal Electrocardiogram; Adaptive Noise Cancelling

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APA (6th Edition):

Hussain, M. S. (2019). Adaptive Digital Filtering Using the Bio-Inspired Firefly Algorithm. (Thesis). Penn State University. Retrieved from https://submit-etda.libraries.psu.edu/catalog/17117msh5334

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):

Hussain, Magni Stentoft. “Adaptive Digital Filtering Using the Bio-Inspired Firefly Algorithm.” 2019. Thesis, Penn State University. Accessed March 04, 2021. https://submit-etda.libraries.psu.edu/catalog/17117msh5334.

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

MLA Handbook (7th Edition):

Hussain, Magni Stentoft. “Adaptive Digital Filtering Using the Bio-Inspired Firefly Algorithm.” 2019. Web. 04 Mar 2021.

Vancouver:

Hussain MS. Adaptive Digital Filtering Using the Bio-Inspired Firefly Algorithm. [Internet] [Thesis]. Penn State University; 2019. [cited 2021 Mar 04]. Available from: https://submit-etda.libraries.psu.edu/catalog/17117msh5334.

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

Council of Science Editors:

Hussain MS. Adaptive Digital Filtering Using the Bio-Inspired Firefly Algorithm. [Thesis]. Penn State University; 2019. Available from: https://submit-etda.libraries.psu.edu/catalog/17117msh5334

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


Syracuse University

19. Leskiw, Donald. The Extended Preferred Ordering Theorem for Radar Tracking Using the Extended Kalman Filter.

Degree: PhD, Electrical Engineering and Computer Science, 2011, Syracuse University

  A certain problem in nonlinear estimation exists in radar tracking. Usually radar detections provide instantaneous position measurements in radar (polar) coordinates at discrete times,… (more)

Subjects/Keywords: alman Filtering; Nonlinear Estimation; Preferred Ordering; Radar Tracking; Electrical and Computer Engineering

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APA (6th Edition):

Leskiw, D. (2011). The Extended Preferred Ordering Theorem for Radar Tracking Using the Extended Kalman Filter. (Doctoral Dissertation). Syracuse University. Retrieved from https://surface.syr.edu/eecs_etd/315

Chicago Manual of Style (16th Edition):

Leskiw, Donald. “The Extended Preferred Ordering Theorem for Radar Tracking Using the Extended Kalman Filter.” 2011. Doctoral Dissertation, Syracuse University. Accessed March 04, 2021. https://surface.syr.edu/eecs_etd/315.

MLA Handbook (7th Edition):

Leskiw, Donald. “The Extended Preferred Ordering Theorem for Radar Tracking Using the Extended Kalman Filter.” 2011. Web. 04 Mar 2021.

Vancouver:

Leskiw D. The Extended Preferred Ordering Theorem for Radar Tracking Using the Extended Kalman Filter. [Internet] [Doctoral dissertation]. Syracuse University; 2011. [cited 2021 Mar 04]. Available from: https://surface.syr.edu/eecs_etd/315.

Council of Science Editors:

Leskiw D. The Extended Preferred Ordering Theorem for Radar Tracking Using the Extended Kalman Filter. [Doctoral Dissertation]. Syracuse University; 2011. Available from: https://surface.syr.edu/eecs_etd/315


University of Minnesota

20. Du, Juan. Dynamic Imaging of Tissue Perfusion Using Ultrasound Contrast Agents.

Degree: PhD, Electrical/Computer Engineering, 2016, University of Minnesota

 Tissue perfusion is an important indicator of the health and vitality of organs such as liver and kidney. Imaging tissue perfusion has significant clinical applications… (more)

Subjects/Keywords: Dynamic imaging; Nonlinear filtering; Quantitative perfusion imaging; Tissue perfusion; Ultrasound contrast agent

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APA (6th Edition):

Du, J. (2016). Dynamic Imaging of Tissue Perfusion Using Ultrasound Contrast Agents. (Doctoral Dissertation). University of Minnesota. Retrieved from http://hdl.handle.net/11299/183381

Chicago Manual of Style (16th Edition):

Du, Juan. “Dynamic Imaging of Tissue Perfusion Using Ultrasound Contrast Agents.” 2016. Doctoral Dissertation, University of Minnesota. Accessed March 04, 2021. http://hdl.handle.net/11299/183381.

MLA Handbook (7th Edition):

Du, Juan. “Dynamic Imaging of Tissue Perfusion Using Ultrasound Contrast Agents.” 2016. Web. 04 Mar 2021.

Vancouver:

Du J. Dynamic Imaging of Tissue Perfusion Using Ultrasound Contrast Agents. [Internet] [Doctoral dissertation]. University of Minnesota; 2016. [cited 2021 Mar 04]. Available from: http://hdl.handle.net/11299/183381.

Council of Science Editors:

Du J. Dynamic Imaging of Tissue Perfusion Using Ultrasound Contrast Agents. [Doctoral Dissertation]. University of Minnesota; 2016. Available from: http://hdl.handle.net/11299/183381


Brunel University

21. Alqaralleh, Huthaifa Sameeh. Modelling house price cycles in large metropolitan areas.

Degree: PhD, 2017, Brunel University

 The volatility of house prices can raise systemic risks in the housing market due to the vulnerability of the banking and mortgage sectors to such… (more)

Subjects/Keywords: 330.01; Nonlinear modelling; Filtering techniques; Macro-prudential policy; Asymmetric volatility; Survival model

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APA (6th Edition):

Alqaralleh, H. S. (2017). Modelling house price cycles in large metropolitan areas. (Doctoral Dissertation). Brunel University. Retrieved from http://bura.brunel.ac.uk/handle/2438/15892 ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.764881

Chicago Manual of Style (16th Edition):

Alqaralleh, Huthaifa Sameeh. “Modelling house price cycles in large metropolitan areas.” 2017. Doctoral Dissertation, Brunel University. Accessed March 04, 2021. http://bura.brunel.ac.uk/handle/2438/15892 ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.764881.

MLA Handbook (7th Edition):

Alqaralleh, Huthaifa Sameeh. “Modelling house price cycles in large metropolitan areas.” 2017. Web. 04 Mar 2021.

Vancouver:

Alqaralleh HS. Modelling house price cycles in large metropolitan areas. [Internet] [Doctoral dissertation]. Brunel University; 2017. [cited 2021 Mar 04]. Available from: http://bura.brunel.ac.uk/handle/2438/15892 ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.764881.

Council of Science Editors:

Alqaralleh HS. Modelling house price cycles in large metropolitan areas. [Doctoral Dissertation]. Brunel University; 2017. Available from: http://bura.brunel.ac.uk/handle/2438/15892 ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.764881


Indian Institute of Science

22. Radhika, Bayya. Monte Carlo Simulation Based Response Estimation and Model Updating in Nonlinear Random Vibrations.

Degree: PhD, Faculty of Engineering, 2018, Indian Institute of Science

 The study of randomly excited nonlinear dynamical systems forms the focus of this thesis. We discuss two classes of problems: first, the characterization of nonlinear(more)

Subjects/Keywords: Nonlienar Random Vibrations; Monte Carlo Simulation Methods; Kalman-SIS Filtering; Structural Dynamics; Nonlinear Dynamical Systems; Asymptotic Extreme Value Theory; Nonlinear Systems - Dynamic State Estimation; Kalman-SIS Filter; Kalman and SIS Filtering; Nonlinear Vibrating Structures; Asymptotic Extreme Value Analysis; Civil Engineering

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APA (6th Edition):

Radhika, B. (2018). Monte Carlo Simulation Based Response Estimation and Model Updating in Nonlinear Random Vibrations. (Doctoral Dissertation). Indian Institute of Science. Retrieved from http://etd.iisc.ac.in/handle/2005/3162

Chicago Manual of Style (16th Edition):

Radhika, Bayya. “Monte Carlo Simulation Based Response Estimation and Model Updating in Nonlinear Random Vibrations.” 2018. Doctoral Dissertation, Indian Institute of Science. Accessed March 04, 2021. http://etd.iisc.ac.in/handle/2005/3162.

MLA Handbook (7th Edition):

Radhika, Bayya. “Monte Carlo Simulation Based Response Estimation and Model Updating in Nonlinear Random Vibrations.” 2018. Web. 04 Mar 2021.

Vancouver:

Radhika B. Monte Carlo Simulation Based Response Estimation and Model Updating in Nonlinear Random Vibrations. [Internet] [Doctoral dissertation]. Indian Institute of Science; 2018. [cited 2021 Mar 04]. Available from: http://etd.iisc.ac.in/handle/2005/3162.

Council of Science Editors:

Radhika B. Monte Carlo Simulation Based Response Estimation and Model Updating in Nonlinear Random Vibrations. [Doctoral Dissertation]. Indian Institute of Science; 2018. Available from: http://etd.iisc.ac.in/handle/2005/3162


Queensland University of Technology

23. McClelland, Andrew James. Self excitation in equity indices.

Degree: 2012, Queensland University of Technology

 A "self-exciting" market is one in which the probability of observing a crash increases in response to the occurrence of a crash. It essentially describes… (more)

Subjects/Keywords: self exciting; option implied; transform-based option pricing; affine jump diffusion; market crash; particle filtering; nonlinear filtering; risk premia; parallelisation; graphics processing unit

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APA (6th Edition):

McClelland, A. J. (2012). Self excitation in equity indices. (Thesis). Queensland University of Technology. Retrieved from https://eprints.qut.edu.au/63629/

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):

McClelland, Andrew James. “Self excitation in equity indices.” 2012. Thesis, Queensland University of Technology. Accessed March 04, 2021. https://eprints.qut.edu.au/63629/.

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

MLA Handbook (7th Edition):

McClelland, Andrew James. “Self excitation in equity indices.” 2012. Web. 04 Mar 2021.

Vancouver:

McClelland AJ. Self excitation in equity indices. [Internet] [Thesis]. Queensland University of Technology; 2012. [cited 2021 Mar 04]. Available from: https://eprints.qut.edu.au/63629/.

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

Council of Science Editors:

McClelland AJ. Self excitation in equity indices. [Thesis]. Queensland University of Technology; 2012. Available from: https://eprints.qut.edu.au/63629/

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


University of New South Wales

24. Narula, Karan. Compressed estimation in coupled high-dimensional processes.

Degree: Mechanical & Manufacturing Engineering, 2019, University of New South Wales

 The state estimation of high-dimensional problems is a topic of great interest in diverse research and application areas. In such problems, the conventional methods, although… (more)

Subjects/Keywords: Stochastic PDEs; Generalised compressed kalman filter; High-dimensional estimation; Estimation; Kalman filters; Probability density function; Filtering algorithms; Stochastic processes; Filtering theory; Nonlinear estimation

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APA (6th Edition):

Narula, K. (2019). Compressed estimation in coupled high-dimensional processes. (Doctoral Dissertation). University of New South Wales. Retrieved from http://handle.unsw.edu.au/1959.4/63269 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:60059/SOURCE02?view=true

Chicago Manual of Style (16th Edition):

Narula, Karan. “Compressed estimation in coupled high-dimensional processes.” 2019. Doctoral Dissertation, University of New South Wales. Accessed March 04, 2021. http://handle.unsw.edu.au/1959.4/63269 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:60059/SOURCE02?view=true.

MLA Handbook (7th Edition):

Narula, Karan. “Compressed estimation in coupled high-dimensional processes.” 2019. Web. 04 Mar 2021.

Vancouver:

Narula K. Compressed estimation in coupled high-dimensional processes. [Internet] [Doctoral dissertation]. University of New South Wales; 2019. [cited 2021 Mar 04]. Available from: http://handle.unsw.edu.au/1959.4/63269 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:60059/SOURCE02?view=true.

Council of Science Editors:

Narula K. Compressed estimation in coupled high-dimensional processes. [Doctoral Dissertation]. University of New South Wales; 2019. Available from: http://handle.unsw.edu.au/1959.4/63269 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:60059/SOURCE02?view=true


Texas A&M University

25. Lee, Deok-Jin. Nonlinear bayesian filtering with applications to estimation and navigation.

Degree: PhD, Aerospace Engineering, 2005, Texas A&M University

 In principle, general approaches to optimal nonlinear filtering can be described in a unified way from the recursive Bayesian approach. The central idea to this… (more)

Subjects/Keywords: statistical nonlinear filtering; estimation and navigation; Bayesian filter

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

APA (6th Edition):

Lee, D. (2005). Nonlinear bayesian filtering with applications to estimation and navigation. (Doctoral Dissertation). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/2269

Chicago Manual of Style (16th Edition):

Lee, Deok-Jin. “Nonlinear bayesian filtering with applications to estimation and navigation.” 2005. Doctoral Dissertation, Texas A&M University. Accessed March 04, 2021. http://hdl.handle.net/1969.1/2269.

MLA Handbook (7th Edition):

Lee, Deok-Jin. “Nonlinear bayesian filtering with applications to estimation and navigation.” 2005. Web. 04 Mar 2021.

Vancouver:

Lee D. Nonlinear bayesian filtering with applications to estimation and navigation. [Internet] [Doctoral dissertation]. Texas A&M University; 2005. [cited 2021 Mar 04]. Available from: http://hdl.handle.net/1969.1/2269.

Council of Science Editors:

Lee D. Nonlinear bayesian filtering with applications to estimation and navigation. [Doctoral Dissertation]. Texas A&M University; 2005. Available from: http://hdl.handle.net/1969.1/2269


Texas A&M University

26. Kumar, Mrinal. Design and Analysis of Stochastic Dynamical Systems with Fokker-Planck Equation.

Degree: PhD, Aerospace Engineering, 2011, Texas A&M University

 This dissertation addresses design and analysis aspects of stochastic dynamical systems using Fokker-Planck equation (FPE). A new numerical methodology based on the partition of unity… (more)

Subjects/Keywords: Stochastic dynamical systems; Fokker-Planck equation; Meshless finite-element methods; Nonlinear filtering; Stochastic optimal control; Partition of unity finite-element method

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APA (6th Edition):

Kumar, M. (2011). Design and Analysis of Stochastic Dynamical Systems with Fokker-Planck Equation. (Doctoral Dissertation). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/ETD-TAMU-2009-12-7500

Chicago Manual of Style (16th Edition):

Kumar, Mrinal. “Design and Analysis of Stochastic Dynamical Systems with Fokker-Planck Equation.” 2011. Doctoral Dissertation, Texas A&M University. Accessed March 04, 2021. http://hdl.handle.net/1969.1/ETD-TAMU-2009-12-7500.

MLA Handbook (7th Edition):

Kumar, Mrinal. “Design and Analysis of Stochastic Dynamical Systems with Fokker-Planck Equation.” 2011. Web. 04 Mar 2021.

Vancouver:

Kumar M. Design and Analysis of Stochastic Dynamical Systems with Fokker-Planck Equation. [Internet] [Doctoral dissertation]. Texas A&M University; 2011. [cited 2021 Mar 04]. Available from: http://hdl.handle.net/1969.1/ETD-TAMU-2009-12-7500.

Council of Science Editors:

Kumar M. Design and Analysis of Stochastic Dynamical Systems with Fokker-Planck Equation. [Doctoral Dissertation]. Texas A&M University; 2011. Available from: http://hdl.handle.net/1969.1/ETD-TAMU-2009-12-7500

27. Bui, Van Bien. La stabilité du filtre non-linéaire en temps continu : The stability of non-linear filter in continuous time.

Degree: Docteur es, Mathématiques, 2016, Nice

Le problème de filtrage consiste à estimer l'état d'un système dynamique, appelé signal qui est souvent un processus markovien, à partir d'observation bruitées des états… (more)

Subjects/Keywords: Filtrage non-linéaire; Stabilité du filtre optimal; Filtre robuste; Nonlinear filtering; Stability of the optimal filter; Robust filter

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APA (6th Edition):

Bui, V. B. (2016). La stabilité du filtre non-linéaire en temps continu : The stability of non-linear filter in continuous time. (Doctoral Dissertation). Nice. Retrieved from http://www.theses.fr/2016NICE4002

Chicago Manual of Style (16th Edition):

Bui, Van Bien. “La stabilité du filtre non-linéaire en temps continu : The stability of non-linear filter in continuous time.” 2016. Doctoral Dissertation, Nice. Accessed March 04, 2021. http://www.theses.fr/2016NICE4002.

MLA Handbook (7th Edition):

Bui, Van Bien. “La stabilité du filtre non-linéaire en temps continu : The stability of non-linear filter in continuous time.” 2016. Web. 04 Mar 2021.

Vancouver:

Bui VB. La stabilité du filtre non-linéaire en temps continu : The stability of non-linear filter in continuous time. [Internet] [Doctoral dissertation]. Nice; 2016. [cited 2021 Mar 04]. Available from: http://www.theses.fr/2016NICE4002.

Council of Science Editors:

Bui VB. La stabilité du filtre non-linéaire en temps continu : The stability of non-linear filter in continuous time. [Doctoral Dissertation]. Nice; 2016. Available from: http://www.theses.fr/2016NICE4002


Queensland University of Technology

28. Techakesari, Onvaree. Filter and control performance bounds in the presence of model uncertainties with aerospace applications.

Degree: 2013, Queensland University of Technology

 This thesis establishes performance properties for approximate filters and controllers that are designed on the basis of approximate dynamic system representations. These performance properties provide… (more)

Subjects/Keywords: Approximating Filter; Nonlinear Filtering; Filter Stability; Model Approximation; Relative Entropy; Hybrid Filter; Control Stability; Air Traffic Separation Management; Practical Stability

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APA (6th Edition):

Techakesari, O. (2013). Filter and control performance bounds in the presence of model uncertainties with aerospace applications. (Thesis). Queensland University of Technology. Retrieved from https://eprints.qut.edu.au/63956/

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):

Techakesari, Onvaree. “Filter and control performance bounds in the presence of model uncertainties with aerospace applications.” 2013. Thesis, Queensland University of Technology. Accessed March 04, 2021. https://eprints.qut.edu.au/63956/.

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

MLA Handbook (7th Edition):

Techakesari, Onvaree. “Filter and control performance bounds in the presence of model uncertainties with aerospace applications.” 2013. Web. 04 Mar 2021.

Vancouver:

Techakesari O. Filter and control performance bounds in the presence of model uncertainties with aerospace applications. [Internet] [Thesis]. Queensland University of Technology; 2013. [cited 2021 Mar 04]. Available from: https://eprints.qut.edu.au/63956/.

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

Council of Science Editors:

Techakesari O. Filter and control performance bounds in the presence of model uncertainties with aerospace applications. [Thesis]. Queensland University of Technology; 2013. Available from: https://eprints.qut.edu.au/63956/

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


Linköping University

29. Rosén, Jakob. A Framework for Nonlinear Filtering in MATLAB.

Degree: Electrical Engineering, 2005, Linköping University

  The object of this thesis is to provide a MATLAB framework for nonlinear filtering in general, and particle filtering in particular. This is done… (more)

Subjects/Keywords: Nonlinear Filtering; Particle Filters; EKF; MATLAB; Automatic control; Reglerteknik

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APA (6th Edition):

Rosén, J. (2005). A Framework for Nonlinear Filtering in MATLAB. (Thesis). Linköping University. Retrieved from http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-5190

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):

Rosén, Jakob. “A Framework for Nonlinear Filtering in MATLAB.” 2005. Thesis, Linköping University. Accessed March 04, 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-5190.

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

MLA Handbook (7th Edition):

Rosén, Jakob. “A Framework for Nonlinear Filtering in MATLAB.” 2005. Web. 04 Mar 2021.

Vancouver:

Rosén J. A Framework for Nonlinear Filtering in MATLAB. [Internet] [Thesis]. Linköping University; 2005. [cited 2021 Mar 04]. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-5190.

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

Council of Science Editors:

Rosén J. A Framework for Nonlinear Filtering in MATLAB. [Thesis]. Linköping University; 2005. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-5190

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


George Mason University

30. 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 March 04, 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 (7th Edition):

Ravichandran, Suraj. “Comparison of Di erent Kalman Filters for Application to Mobile Robotics .” 2014. Web. 04 Mar 2021.

Vancouver:

Ravichandran S. Comparison of Di erent Kalman Filters for Application to Mobile Robotics . [Internet] [Thesis]. George Mason University; 2014. [cited 2021 Mar 04]. 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

[1] [2] [3]

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