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Consensus of Multi-agent Systems Under Switching Agent Dynamics and Jumping Network Topologies
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  • 分类:TP393[自动化与计算机技术—计算机应用技术;自动化与计算机技术—计算机科学与技术] TP18[自动化与计算机技术—控制科学与工程;自动化与计算机技术—控制理论与控制工程]
  • 作者机构:[1]School of Mechatronic Engineering and Automation, Shanghai University, Shanghai 200072, China, [2]Shanghai Key Laboratory of Power Station Automation Technology, Shanghai 200072, China, [3]School of Information, Zhengzhou University, Zhengzhou 450052, China
  • 相关基金:This work was supported by National Natural Science Foundation of China (No. 61573237), and Shanghai Natural Science Fund (No. 13ZR1416300).
中文摘要:

Consensus of multi-agent systems is an interesting research topic and has wide applications in science and engineering.The agents considered in most existing studies on consensus problem are time-invariant. However, in many cases, agent dynamics often show the characteristic of switching during the process of consensus. This paper considers consensus problem of general linear multi-agent system under both switching agent dynamics and jumping network topologies. Within the proposed multi-agent system,the agent dynamic switching is assumed to be deterministic, while the network topology jumping is considered respectively for two cases: deterministic jumping(Case 1) and Markov jumping(Case 2). By applying the dwell time and the average dwell time techniques,a sufficient consensus and an almost sure consensus conditions are provided for these two cases, respectively. Finally, two numerical examples are presented to demonstrate the theoretical results.

英文摘要:

Consensus of multi-agent systems is an interesting research topic and has wide applications in science and engineering. The agents considered in most existing studies on consensus problem are time-invariant. However, in many cases, agent dynamics often show the characteristic of switching during the process of consensus. This paper considers consensus problem of general linear multi-agent system under both switching agent dynamics and jumping network topologies. Within the proposed multi-agent system, the agent dynamic switching is assumed to be deterministic, while the network topology jumping is considered respectively for two cases: deterministic jumping (Case 1) and Markov jumping (Case 2). By applying the dwell time and the average dwell time techniques, a sufficient consensus and an almost sure consensus conditions are provided for these two cases, respectively. Finally, two numerical examples are presented to demonstrate the theoretical results.

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