Asynchronous fault detection for hidden Markov jump systems with dynamic event-triggered mechanism-Reference-Cited by-同舟云学术

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Asynchronous fault detection for hidden Markov jump systems with dynamic event-triggered mechanism

Published:2024-03-02 Issue:8 Volume:112 Page:6461-6473
ISSN:0924-090X
Container-title:Nonlinear Dynamics
language:en
Short-container-title:Nonlinear Dyn

Author:

Zhu Yi-Yi,Zhang Xuexi,Tao Jie^ORCID,Lu Renquan

Funder

National Natural Science Foundation of China

Science and Technology Program of Guangzhou

Natural Science Foundation of Guangdong Province

Key Area Research and Development Program of Guangdong Province

Publisher

Springer Science and Business Media LLC

Link

https://link.springer.com/content/pdf/10.1007/s11071-024-09401-5.pdf

Reference47 articles.

1. Liu, Q.D., Long, Y., Park, J.H., Li, T.: Neural network-based event-triggered fault detection for nonlinear Markov jump system with frequency specifications. Nonlinear Dyn. 103, 2671–2687 (2021)

2. Liu, Y., Wang, Z., Zhou, D.: Resilient actuator fault estimation for discrete-time complex networks: a distributed approach. IEEE Trans. Autom. Control 66(9), 4214–4221 (2020)

3. Ma, Y., Nie, Z., Hu, S., Li, Z., Malekian, R., Sotelo, M.: Fault detection filter and controller co-design for unmanned surface vehicles under DoS attacks. IEEE Trans. Intell. Transp. Syst. 22(3), 1422–1434 (2020)

4. Stojanovic, V., Prsic, D.: Robust identification for fault detection in the presence of non-Gaussian noises: application to hydraulic servo drives. Nonlinear Dyn. 100, 2299–2313 (2020)

5. Wang, X., Fei, Z., Yan, H., Xu, Y.: Dynamic event-triggered fault detection via zonotopic residual evaluation and its application to vehicle lateral dynamics. IEEE Trans. Ind. Inf. 16(11), 6952–6961 (2020)

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