自适应事件触发控制的多智能体系统一致性

研究了拓扑结构为有向强连通图的多智能体系统的一致性问题。提出一种新的自适应事件触发控制方案，根据采样数据动态调整触发时间间隔，提高了系统的控制性能。基于Lyapunov稳定性理论和线性矩阵不等式方法，得到多智能系统渐进趋于一致的充分条件。同时，得到一致性条件与触发参数和通信拓扑有关的结论，数值仿真结果进一步验证了理论分析的有效性。

Adaptive event- triggered control for consensus of multi-agent systems

This paper investigates the consensus problem of multi-agent systems with directed topology being strongly connected. A new adaptive event-triggered control scheme is proposed, which can adaptively adjust the release intervals based on the sampled-data, and improve the control performance. Based on Lyapunov stability theory and the linear matrix inequalities method, some sufficient conditions for the consensus of the multi-agent systems are given. The results of consensus conditions which are dependent on trigger parameter and communication topology are obtained simultaneously. Numerical simulations are provided to demonstrate the effectiveness of theoretical analysis.