Distributed dynamic event-triggered consensus control for multi-agent systems under fixed and switching topologies |
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| Authors: | Yifei Li Xiangdong Liu Haikuo Liu Changkun Du Pingli Lu |
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| Institution: | 1. School of Automation, Beijing Institute of Technology, Beijing 100081, China;2. School of Mechatronical Engineering, Beijing Institute of Technology, Beijing 100081, China;1. College of Information Science and Engineering, Northeastern University, Shenyang, Liaoning 110004, China;2. State Key Laboratory of Synthetical Automation for Process Industries, Northeastern University, Shenyang, Liaoning, 110004, China;1. College of Information Science and Engineering, Northeastern University, Shenyang, Liaoning 110004, PR China;2. State Key Laboratory of Synthetical Automation for Process Industries, Northeastern University, Shenyang, Liaoning 110819, PR China;3. Key Laboratory of Knowledge Automation for Process Industries, Ministry of Education, Beijing 100083, China;1. School of Automation, Huazhong University of Science and Technology, Wuhan 430074, PR China;2. Department of Mathematics, School of Science, Nanchang University, Nanchang 330031, PR China;3. College of Automation, Nanjing University of Posts and Telecommunications, Nanjing 210023, PR China;4. Institute of Advanced Technology, Yanshan University, Qinhuangdao 066000, PR China;1. College of Automation & College of Artificial Intelligence, Nanjing University of Posts and Telecommunications, Nanjing, China;2. Institute of Advanced Technology, Nanjing University of Posts and Telecommunications, Nanjing, China;3. Jiangsu Engineering Laboratory of Big Data Analysis and Control for Active Distribution Network, Nanjing University of Posts and Telecommunications, Nanjing, China |
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| Abstract: | This paper is devoted to the dynamic event-triggered consensus problem of general linear multi-agent systems under fixed and switching directed topologies. Two distributed dynamic event-triggered strategies, where internal dynamic variables are involved, are introduced for each agent to achieve consensus asymptotically. Compared with the existing static triggering strategies, the purposed dynamic triggering strategies result in larger inter-execution times and less communication energy among agents. In addition, neither controller updates nor triggering threshold detections require continuous communication in the purposed control strategies. It is also proven that the Zeno behavior is strictly ruled out under fixed and switching directed topologies. Finally, the effectiveness of the theoretical analysis is demonstrated by numerical simulations. |
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