Song Weizhao, Feng Jian, Zhang Huaguang, Wang Wei
IEEE Trans Neural Netw Learn Syst. 2023 Dec;34(12):9685-9699. doi: 10.1109/TNNLS.2022.3159669. Epub 2023 Nov 30.
In this article, the time-varying output formation issue of heterogeneous multiagent systems is investigated by the event-triggered control scheme. Only the outputs of all agents, including leader agent and follower agents, are measurable. The leader agent contains an unknown input signal to generate flexible reference trajectory. Also, only a subset of follower agents have the direct access to the leader agent. First, for each follower, the leader-state compensator is designed to estimate the state of leader. Two kinds of dynamic event-triggered (DET) mechanisms, i.e., node- and edge-based event-triggered schemes, can be equipped on the compensator to save the communication bandwidth of leader-follower and follower-follower interactions, respectively. Then, the distributed formation controller is built to drive each follower achieving formation tracking. The presented control protocol consisting of the DET state compensator and formation controller is fully distributed, which is independent of the global information of communication topology, such as the eigenvalues of Laplacian matrix of communication topology and amount of whole agents. Finally, the numerical experiments and comparison experiments are exhibited to verify the effectiveness of the presented control protocol.
本文采用事件触发控制策略研究了异构多智能体系统的时变输出编队问题。仅所有智能体(包括领导者智能体和跟随者智能体)的输出是可测量的。领导者智能体包含一个未知输入信号以生成灵活的参考轨迹。此外,只有一部分跟随者智能体能够直接访问领导者智能体。首先,为每个跟随者设计领导者状态补偿器以估计领导者的状态。两种动态事件触发(DET)机制,即基于节点和基于边的事件触发策略,可以分别配置在补偿器上,以节省领导者 - 跟随者和跟随者 - 跟随者交互的通信带宽。然后,构建分布式编队控制器以驱动每个跟随者实现编队跟踪。所提出的由DET状态补偿器和编队控制器组成的控制协议是完全分布式的,它独立于通信拓扑的全局信息,如通信拓扑拉普拉斯矩阵的特征值和智能体总数。最后,通过数值实验和对比实验验证了所提出控制协议的有效性。