Connection-graph-based event-triggered output consensus in multi-agent systems with time-varying couplings

Connection-graph-based event-triggered output consensus in multi-agent systems with time-varying couplings
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DOI:
10.1049/iet-cta.2013.1117
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发表时间:
2015-01
影响因子:
2.6
通讯作者:
Xu Zhang;Maoyin Chen;Ling Wang;Zhong-Hua Pang;Donghua Zhou
Xu Zhang;Maoyin Chen;Ling Wang;Zhong-Hua Pang;Donghua Zhou
中科院分区:
计算机科学4区
文献类型:
--
作者:
Xu Zhang;Maoyin Chen;Ling Wang;Zhong-Hua Pang;Donghua Zhou

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事件触发策略是在多智能体系统(MAS)中在必要的离散时刻更新局部控制器的有效方法。基于图论推理,研究了时变耦合MAS中分布式事件触发的输出一致性。图论推理为我们提供了一个李雅普诺夫函数,充分利用图的属性,如两个任意代理之间的路径。利用该函数,局部输出反馈控制器的更新由基于连接图的状态相关或时间相关事件函数决定。有趣的是,所提出的事件触发的计划也可以有效地扩展到非线性MAS随时间变化的耦合。理论分析和数值模拟验证了主要结果。
Event-triggered strategies are effective to update local controllers in multi-agent systems (MASs) at necessary discrete times. Based on graph theoretical reasoning, the authors study the distributed event-triggered output consensus in MASs with time-varying couplings. Graph theoretical reasoning provides us a Lyapunov function that fully utilises the properties of a graph such as the path between two arbitrary agents. With this function, the updating of local output-feedback controllers is determined by connection-graph-based state-dependent or time-dependent event functions. Interesting enough, the proposed event-triggered schemes can also be effectively extended to non-linear MASs with time-varying couplings. Theoretical analysis and numerical simulations verify the main results.