Adaptive Output Regulation of Heterogeneous Multiagent Systems Under Markovian Switching Topologies
研究了通信拓扑随机切换下异构线性多智能体系统的自适应输出调节问题，提出一种无需全局拓扑信息的分布式自适应协同控制器，并通过算例验证有效性。
This paper investigates the adaptive output regulation problem for heterogeneous linear multiagent systems under randomly switching communication topologies. The switching mechanism is governed by a time-homogeneous Markov process, whose states correspond to all possible communication topologies among agents. A novel distributed adaptive cooperative controller is presented, where the dynamic compensators are utilized to estimate the exogenous signal for all the agents in mean square sense. The distributed control law is based upon the local information of agents, without using the global information of the communication topologies. Finally, illustrative examples are put forward to demonstrate the effectiveness of the given control scheme.