Jin, Zhipu and Ko, Chih-Kai and Murray, Richard M. (2007) Estimation for Nonlinear Dynamical Systems over Packet-Dropping Networks. In: 2007 American Control Conference. IEEE , Piscataway, NJ, pp. 5037-5042. ISBN 1-4244-0988-8. https://resolver.caltech.edu/CaltechAUTHORS:20170427-143640907
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Abstract
Two approaches, extended Kalman filter (EKF) and moving horizon estimation (MHE), are discussed for state estimation for nonlinear dynamical systems over packet-dropping networks. For EKF, we provide sufficient conditions that guarantee a bounded EKF error covariance. For MHE, a natural scheme on organizing the finite horizon window is proposed to handle intermittent observations. A nonlinear programming software package, SNOPT, is employed in MHE and the formulation for constraints is discussed in detail. Examples and simulation results are presented.
| Item Type: | Book Section | |||||||||
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| Additional Information: | © 2007 IEEE. | |||||||||
| Subject Keywords: | State estimation, nonlinear dynamical systems, extended Kalman filter, moving horizon estimation, packet-dropping networks | |||||||||
| DOI: | 10.1109/ACC.2007.4283063 | |||||||||
| Record Number: | CaltechAUTHORS:20170427-143640907 | |||||||||
| Persistent URL: | https://resolver.caltech.edu/CaltechAUTHORS:20170427-143640907 | |||||||||
| Official Citation: | Z. Jin, C. K. Ko and R. M. Murray, "Estimation for Nonlinear Dynamical Systems over Packet-Dropping Networks," 2007 American Control Conference, New York, NY, 2007, pp. 5037-5042. doi: 10.1109/ACC.2007.4283063 | |||||||||
| Usage Policy: | No commercial reproduction, distribution, display or performance rights in this work are provided. | |||||||||
| ID Code: | 77019 | |||||||||
| Collection: | CaltechAUTHORS | |||||||||
| Deposited By: | Kristin Buxton | |||||||||
| Deposited On: | 27 Apr 2017 21:48 | |||||||||
| Last Modified: | 15 Nov 2021 17:04 |
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