Observer-Based Robust Containment Control of Multi-agent Systems With Input Saturation
Juan Qian, Xiaoling Wang, Guo‐Ping Jiang, Housheng Su · 2020
In this paper, the robust containment control problem of the leader-following multi-agent systems with input saturation and input additive disturbance is addressed, where the followers can be informed by multiple leaders. With the help of the lowand-high gain feedback technique and the high-gain observer approach, a distributed control algorithm for each agent is firstly designed by using the observed output information, then sufficient conditions are provided to guarantee the semi-global robust containment of the system. Finally, some numerical simulations are given to verify the correctness of the theoretical results.