Leader-following consensus control for semi-Markov jump multi-agent systems: An adaptive event-triggered scheme |
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Authors: | Huijiao Wang Bing Xue Anke Xue |
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Institution: | 1. Fair Friend Institute of Intelligent Manufacturing, Hangzhou Vocational and Technical College, Hangzhou 310018, PR China;2. Institute of Information and Control, Hangzhou Dianzi University, Hangzhou 310018, PR China;1. Key Laboratory of Advanced Process Control for Light Industry (Ministry of Education), Institute of Automation,Jiangnan University, Wuxi 214122, China;2. School of Electrical and Electronic Engineering, The University of Adelaide, Adelaide 5005, Australia;1. School of Electrical and Information Engineering, Anhui University of Technology, Ma’anshan 243002, China;2. School of Mathematical Sciences, Liaocheng University, Liaocheng 252059, China;3. School of Mathematical Sciences, Qufu Normal University, Qufu, Shandong 273165, China;4. College of Mathematics and Systems Science, Shandong University of Science and Technology, Qingdao 266590, China;1. School of Computer Science and Technology, Anhui University of Technology, Ma’anshan 243032, China;2. College of Mathematics and Systems Science, Shandong University of Science and Technology, Qingdao 266590, China;1. School of Information and Software Engineering, University of Electronic Science and Technology of China, Chengdu 611731, PR China;2. School of Mathematical Sciences, University of Electronic Science and Technology of China, Chengdu 611731, PR China;3. College of Mathematics and Statistics, Guangxi Normal University, Guilin 541006, PR China;4. College of Automation and Electronic Engineering, Qingdao University of Science and Technology, Qingdao 266061, PR China;5. School of Computer Science and Engineering, University of Electronic Science and Technology of China, Chengdu 611731, PR China |
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Abstract: | The problem of event-triggered leader-following consensus control for semi-Markov multi-agent systems is investigated in this paper. A semi-Markov process is used to describe the sudden parameter changes between every agent. An adaptive event-triggered control strategy is proposed to make a balance between reducing unnecessary communication and meeting the required performance. A control protocol which can resist actuator faults is used to ensure the reliable leader-following consensus. By employing the Lyapunov–Krasovskii functional method, some sufficient conditions are provided to guarantee that the leader-following consensus can be achieved in mean-square sense. The consensus controller and the event-triggered parameter can be co-designed. Finally, the effectiveness of the proposed method is verified by a F-404 aircraft engine system. |
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