Dynamic-memory event-based asynchronous dissipative filtering for T-S fuzzy singular semi-Markov jump systems against multi-cyber attacks
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DOI: 10.1016/j.amc.2022.127352
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References listed on IDEAS
- Xing, Mingqi & Wang, Yanqian & Zhuang, Guangming & Chen, Fu, 2021. "Event-based asynchronous and resilient filtering for singular Markov jump LPV systems against deception attacks," Applied Mathematics and Computation, Elsevier, vol. 403(C).
- Lisai Gao & Fuqiang Li & Jingqi Fu, 2021. "Output-based decentralised event-triggered dissipative control of NCSs under aperiodic DoS attacks," International Journal of Systems Science, Taylor & Francis Journals, vol. 52(10), pages 2003-2019, July.
- Wang, Yanqian & Chen, Fu & Zhuang, Guangming & Yang, Guang, 2020. "Dynamic event-based mixed H∞ and dissipative asynchronous control for Markov jump singularly perturbed systems," Applied Mathematics and Computation, Elsevier, vol. 386(C).
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Cited by:
- Li, Ze & Ren, Junchao, 2024. "Adaptive event-triggered non-fragile sliding mode control for uncertain T-S fuzzy singular systems with passive constraint," Applied Mathematics and Computation, Elsevier, vol. 472(C).
- Cheng, Guifang & Liu, Hao, 2024. "Asynchronous finite-time extended dissipative filter on linear neutral semi-Markov jump systems under sensor saturation and dual-channel DoS attacks," Applied Mathematics and Computation, Elsevier, vol. 475(C).
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Keywords
Asynchronous dissipative filter; T-S fuzzy singular semi-Markov jump systems; Dynamic-memory event-triggered transmission scheme; Multiple cyber attacks Model; Hidden Markov models;All these keywords.
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