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Asynchronous Finite-Time Exponential Dissipative Filtering for Stochastic Fuzzy Markov Jump Systems Against Deception Attacks Based on Event-Triggered Scheme

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Abstract

This note aims to investigate finite-time exponential dissipative (FTED) filtering for stochastic fuzzy Markov jump systems (MJSs) subject to multiplicative noise and deception attacks. A mode-dependent event-triggered mechanism (ETM) is adopted to mitigate the pressure of network transmission, and cyber attacks are characterized in the communication channel. Besides, a hidden Markov model(HMM) is employed to describe that the system modes and filter modes are not synchronized. According to ETM and HMM, a hidden networked filtering error system model with network-induced delay and stochastic deception attacks is established. Sufficient conditions of finite-time stochastic boundedness (FTSB) are then provided for the resulting filtering error system. Furthermore, under randomly occurring deception attacks, mode-dependent event-triggered matrices and asynchronous fuzzy filter gains are co-designed, which guarantee that the filtering error system is FTSB as well as FTED. Finally, an example is presented to verify the effectiveness of obtained results.

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Funding

This research was supported by the National Natural Science Foundation of China under Grant (No.61703248,61973198,62273212), Shandong Provincial Natural Science Foundation, China (No.ZR2020MF062).

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Authors and Affiliations

  1. College of Mathematics and Systems Science, Shandong University of Science and Technology, Qingdao, 266590, China

    Yong Zhao, Jiaxin Luo & Xiangyun Lin

  2. College of Electrical Engineering and Automation, Shandong University of Science and Technology, Qingdao, 266590, China

    Weihai Zhang

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  1. Yong Zhao
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Correspondence to Yong Zhao.

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Zhao, Y., Luo, J., Zhang, W. et al. Asynchronous Finite-Time Exponential Dissipative Filtering for Stochastic Fuzzy Markov Jump Systems Against Deception Attacks Based on Event-Triggered Scheme. Int. J. Fuzzy Syst. 26, 735–752 (2024). https://doi.org/10.1007/s40815-023-01631-w

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