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Bipartite consensus of multi-agent systems with matched uncertainty via fully distributed edge-based event-triggered mechanism
Institution:1. College of Automation & Information Engineering, and Artificial Intelligence Key Laboratory of Sichuan Province, Sichuan University of Science & Engineering, Zigong 643000, China;2. College of Engineering, Huazhong Agricultural University, Wuhan 430070, China;3. School of Electrical and Electronic Engineering, University of Adelaide, Adelaide, SA 5005, Australia;1. School of Astronautics, Northwestern Polytechnical University, Xi’an 710072, PR China;2. School of Automation Science and Electrical Engineering, Beihang University, Beijing 100191, PR China;3. Zhongguancun Laboratory, Beijing 100190, PR China;4. School of Electronics and Information, Northwestern Polytechnical University, Xi’an 710072, PR China;5. Institute of Artificial Intelligence, Beihang University, Beijing 100191, PR China;1. School of Civil Engineering, School of Mechanical and Electrical Engineering, Guangzhou University, Guangzhou 510000, China;2. School of Electrical Engineering and Intelligentization, Dongguan University of Technology, Dongguan 523000, China;3. School of Mechanical Engineering, Yanshan University, Qinhuangdao 066000, China;1. School of Computer Science and Engineering, University of Electronic Science and Technology of China, Chengdu 611731, China;2. Department of Mechanical Engineering, York University, Toronto, ON M3J 1P3, Canada;3. School of Aeronautics and Astronautics, University of Electronic Science and Technology of China, Chengdu 611731, China
Abstract:The leader-following bipartite consensus of multi-agent systems (MASs) with matched uncertainty is investigated by using the fully distributed asynchronous edge-based event-triggered mechanism. Firstly, event-triggered mechanisms are constructed for each edge and the leader to decrease the consumption of system resources. The state feedback and output feedback control protocols are proposed, which do not depend on the global values of the communication graph. Secondly, sufficient conditions for the bipartite consensus of MASs are obtained by Lyapunov stability theory. Thirdly, the feasibility of the proposed event-triggered mechanisms is further verified by exclusion of Zeno phenomenon. Finally, the effectiveness of control protocol is illustrated by simulation.
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