基于事件触发的二阶多智能体系统平均一致性

Event-triggered Average Consensus of Second-order Multi-agent Systems

  • 摘要: 针对二阶多智能体系统在固定无向拓扑下的平均一致性问题,为减少不必要的资源浪费,给出一种基于事件触发控制的一致性算法.首先,针对每个智能体设计基于状态误差形式的触发函数,只有当状态误差达到特定值时智能体才触发事件,在两个相邻事件触发时刻之间保持控制输入不变.然后,利用模型转换思想将系统的一致性问题转化为稳定性问题,并利用矩阵理论和李亚普诺夫理论给出系统达到平均一致的充分条件.最后,通过仿真实验验证该理论方案的有效性.

     

    Abstract: We propose a consensus algorithm based on event-triggered control to save on resources. The proposed algorithm is meant to solve the average consensus problem of second-order multi-agent systems under an undirected network with fixed topology. First, for each agent, we design a trigger function with respect to the state error. An agent triggers an event only when the state error reaches a specific value, and the control input is constant between two adjacent event triggering times. Next, by employing the model transformation method, the consensus problem of the multi-agent system is converted into the stability problem. Then, some sufficient conditions for the average consensus of the systems are provided by using matrix theory and Lyapunov theory. Finally, numerical simulations are used to verify the effectiveness of the proposed theoretical scheme.

     

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