Simultaneous mode, input and state estimation for switched linear stochastic systems-Reference-Cited by-同舟云学术

Simultaneous mode, input and state estimation for switched linear stochastic systems

Published:2020-11-12 Issue:2 Volume:31 Page:640-661
ISSN:1049-8923
Container-title:International Journal of Robust and Nonlinear Control
language:en
Short-container-title:Int J Robust Nonlinear Control

Author:

Yong Sze Zheng¹^ORCID,Zhu Minghui²,Frazzoli Emilio³

Affiliation:

1. School for Engineering of Matter, Transport and Energy Arizona State University Tempe Arizona USA

2. School of Electrical Engineering and Computer Science Pennsylvania State University State College Pennsylvania USA

3. Institute for Dynamic Systems and Control Swiss Federal Institute of Technology (ETH) Zürich Switzerland

Funder

National Science Foundation

Publisher

Wiley

Subject

Electrical and Electronic Engineering,Industrial and Manufacturing Engineering,Mechanical Engineering,Aerospace Engineering,Biomedical Engineering,General Chemical Engineering,Control and Systems Engineering

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/rnc.5306

Reference36 articles.

1. Safety Control of Hidden Mode Hybrid Systems

2. YongSZ FrazzoliE. Hidden mode tracking control for a class of hybrid systems. Paper presented at: Proceedings of the American Control Conference Washington D.C;2013:5735‐5741.

3. YongSZ ZhuM FrazzoliE. Generalized innovation and inference algorithms for hidden mode switched linear stochastic systems with unknown inputs. Paper presented at: Proceedings of the IEEE Conference on Decision and Control Los Angeles CA;2014:3388‐3394.

4. Robust estimation and fault detection and isolation algorithms for stochastic linear hybrid systems with unknown fault input

5. YongSZ ZhuM FrazzoliE. Resilient state estimation against switching attacks on stochastic cyber‐physical systems. Paper presented at: Proceedings of the IEEE Conference on Decision and Control (CDC) Osaka Japan;2015:5162‐5169.

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3. Resilient State Estimation and Attack Mitigation in Cyber-Physical Systems;Security and Resilience in Cyber-Physical Systems;2022