Event-triggered consensus in nonlinear multi-agent systems with nonlinear dynamics and directed network topology
Event-triggered consensus in nonlinear multi-agent systems with nonlinear dynamics and directed network topology
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DOI：
10.1016/j.neucom.2015.12.047
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发表时间：
2016-04
期刊：
影响因子：
6
通讯作者：
Huaqing Li;Guo Chen;Tingwen Huang;Wei Zhu;Libin Xiao
中科院分区：
文献类型：
--
作者：
Huaqing Li;Guo Chen;Tingwen Huang;Wei Zhu;Libin Xiao
事件触发采样控制方案是针对计算和存储资源有限的嵌入式微处理器的应用而提出的。提出了一种基于分布式事件触发控制机制的一般有向网络中具有内在非线性动力学特性的多智能体系统一致性框架。设计了一种高性能事件，有效地避免了代理之间的持续通信，以解析地确定代理何时应该对其当前状态进行采样。引入两种广义代数连通性，分别研究了强连通网络和一类含有有向生成树的网络的全局一致性。基于代数图、矩阵理论和Lyapunov控制方法，给出了全局一致的充分条件。最后给出了一个数值算例，验证了理论结果的正确性。
The event-triggered sampling control scheme is motivated by applications of embedded microprocessors with limited computation and storage resources. This paper proposes a novel framework for consensus of multiagent systems with inherent nonlinear dynamics in general directed networks by a distributed event-triggered control mechanism. A kind of high-performance event which effectively avoids continuous communications among agents is designed to analytically determine when an agent should sample its current state. Two kinds of general algebraic connectivity are introduced to respectively investigate the global consensus in strongly connected networks and a class of networks containing directed spanning trees. Sufficient conditions are derived to reach a global consensus based on algebraic graph, matrix theory, and Lyapunov control approach. A numerical example is presented to demonstrate the correctness of the theoretical results.