Yang Ruohan, Zhang Hao, Feng Gang, Yan Huaicheng
IEEE Trans Neural Netw Learn Syst. 2018 Sep;29(9):4347-4358. doi: 10.1109/TNNLS.2017.2762343. Epub 2017 Nov 9.
This paper investigates the cooperative output regulation problem for heterogeneous multiagent systems (MASs) under switching topology. Two novel distributed event-triggered adaptive control strategies based on state feedback and output feedback are developed, which can avoid using the minimal nonzero eigenvalue of Laplacian matrix associated with global system topologies. It is shown that under the proposed control protocols, MASs could achieve asymptotic tracking and disturbance rejection, and meanwhile, the amount of transmission data and communication cost among agents can be reduced. Then, the leader-following consensus problem of MASs is given as an application of our main results. Finally, an example is presented to verify the effectiveness of the proposed control schemes.
本文研究了切换拓扑下异构多智能体系统（MASs）的协同输出调节问题。基于状态反馈和输出反馈，开发了两种新颖的分布式事件触发自适应控制策略，避免了使用与全局系统拓扑相关的拉普拉斯矩阵的最小非零特征值。结果表明，在所提出的控制协议下，多智能体系统能够实现渐近跟踪和干扰抑制，同时可减少智能体之间的传输数据量和通信成本。然后，给出了多智能体系统的领导者-跟随者一致性问题作为主要结果的一个应用。最后，通过一个例子验证了所提出控制方案的有效性。
