Event-based asynchronous and resilient filtering for Markov jump singularly perturbed systems against deception attacks
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Yanqian Wang1, Fu Chen2, Guangming Zhuang3
1School of Information and Control Engineering, Qingdao University of Technology, Qingdao, Shandong, 266520, China; Key Laboratory of Advanced Control and Optimization for Chemical Processes, (East China University of Science and Technology), Ministry of Education, Shanghai, 200237, China.
Abstract:
The dynamic event-based asynchronous and resilient dissipative filter design for Markov jump singularly perturbed systems (MJSPSs) against stochastic deception attacks is discussed in this paper. Firstly, a novel dynamic event-based transmission protocol is provided to further decrease the proportion of sampled data into network. The effect of deception attacks is formulated as a random variable satisfying the Bernoulli distribution. And an asynchronous filter is delicately constructed. Based on the technique of linear matrix inequality (LMI), efficient criteria of stochastically stable for the filtering error systems with a predetermined dissipative performance are obtained. An effective method of jointly design the proposed dynamic event-triggered transmission protocol and the non-synchronous filter is offered. Lastly, a numerical instance and a resistance-capacitance (RC) circuit system are provided to display the effectiveness and the benefit of the developed method.
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