Asynchronous dissipative filtering for Markov jump discrete-time systems subject to randomly occurring distributed delays |
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| Authors: | Mingcheng Dai Jianwei Xia Ju H Park Xia Huang Hao Shen |
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| Institution: | 1. School of Electrical and Information Engineering, Anhui University of Technology, Ma’anshan 243002, China;2. School of Mathematical Sciences, Liaocheng University, Liaocheng, Shandong 252059, China;3. Department of Electrical Engineering, Yeungnam University, 280 Daehak-Ro, Kyongsan 38541, Republic of Korea;4. College of Electrical Engineering and Automation, Shandong University of Science and Technology, Qingdao 266590, China;5. School of Mathematics and Physics, Qingdao University of Science and Technology, Qingdao 266061, China |
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| Abstract: | This work investigates the issue of the dissipativity-based asynchronous filtering for Markov jump discrete-time systems subject to mixed time delays. Different from the existing results on this topic, a kind of distributed time delay is fully considered, which randomly occurs. The aim of this paper is to determine the parameters of the designed asynchronous filter. By utilizing the convex optimization technique and stochastic analysis theory, some new sufficient conditions with less conservatism are established, which ensure the resulting error system is stochastically stable with the extended dissipative performance level. The superiority and availability of the developed approach are finally verified by some comparison examples. |
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| Keywords: | Corresponding authors |
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