Event-triggered consensus control for second-order multi-agent system subject to saturation and time delay |
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| Authors: | Jinran Wang Xiaoyuan Luo Jing Yan Xinping Guan |
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| Institution: | 1. School of Electrical Engineering, Yanshan University, Qinhuangdao, China;2. School of Electronic, Information and Electrical Engineering, Shanghai Jiao Tong University, Shanghai, China;1. College of Electronic and Information Engineering, Southwest University, Chongqing 400715, PR China;2. School of Electrical and Information Engineering, The University of Sydney, Sydney 2006, Australia;3. School of Electrical Engineering and Computer Science, The University of Newcastle, Newcastle 2308, Australia;4. School of Information Engineering, Guizhou Minzu University, Guiyang 550025, PR China;1. School of Science, Jiangnan University, Wuxi 214122, China;2. School of Mathematics, Southeast University, Nanjing 210096, China;3. School of Electrical Engineering, Nantong University, Nantong 226000, China;4. School of Mathematics and Statistics, Shandong Normal University, Ji’nan 250014, China;1. National & Local Joint Engineering Laboratory of Intelligent Transmission and Control Technology (Chongqing), College of Electronic and Information Engineering, Southwest University, Chongqing 400715, PR China;2. Department of Mathematics, Texas A & M University at Qatar, Doha 23874, Qatar |
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| Abstract: | The event-triggered consensus control for second-order multi-agent systems subject to actuator saturation and input time delay, is investigated in this paper. Based on the designed triggering function, a distributed event-triggered control strategy is presented to drive the system to achieve consensus. Communication energy can be saved as the agents send their state information only at infrequent event instants, the continuous communication among agents is not necessary. Lyapunov-Krasovskii functional is used together with linear matrix inequality technique to analyze the stability of the closed-loop error system. The results show that agents achieve exponentially consensus under the proposed controller. Furthermore, the bounds of solution are obtained by establishing the differential equation associated with the first delay interval. The initial domain is estimated by optimizing the linear matrix inequalities. Finally, simulation examples are presented to illustrate the effectiveness of the proposed controller. |
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