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Memory-based event-triggered leader-following consensus for T-S fuzzy multi-agent systems subject to deception attacks
Institution:1. College of Mechanical & Electronic Engineering, Nanjing Forestry University, Nanjing, 210037, PR China;2. The school of Mathematical Sciences, University of Electronic Science and Technology of China, Chengdu, 611731, PR China;1. College of Information Science and Engineering, Northeastern University, Shenyang, Liaoning 110819, China;2. State Key Laboratory of Synthetical Automation of Process Industries, Northeastern University, Shenyang, Liaoning 110819, China;1. College of Information Science and Engineering, Northeastern University, Shenyang 110819, P.R. China;2. The State Key Laboratory of Synthetical Automation for Process Industries, Northeastern University, Shenyang 110819, P.R. China;3. The Key Laboratory of Vibration and Control of Aero-Propulsion Systems Ministry of Education of China, Northeastern University, Shenyang, Liaoning, China;1. School of Mathematics and Statistics, Zhengzhou University, Henan 450001, China;2. Zhongyuan University of Technology, Henan 450007, China
Abstract:In this paper, the problem of fuzzy model-based leader-following consensus control for multi-agent systems (MASs) under deception attacks is investigated. For the sake of alleviating the communication burden, a novel memory-based event-triggered scheme (METS) is first proposed for the considered MASs to reduce redundant data transmission, and the leader-following consensus can be achieved faster with a smaller adjustment error by applying the historical released packets. Considering the designed METS and upper-bounded attacks synthetically, the closed-loop fuzzy system model is well established. Furthermore, with the help of Lyapunov-Krasovskii technique, some sufficient conditions are derived to ensure the consensus of MASs subject to deception attacks. Finally, a simulation example is introduced to manifest the effectiveness of the proposed method.
Keywords:
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