Human-in-the-Loop Formation-Containment Control for Multiagent Systems: An Observer-Based Distributed Unknown Input Reconstruction Method
Li Ma, Fanglai Zhu, Xudong Zhao
Abstract
This article studies the human-in-the-loop (HiTL) time-varying formation-containment tracking control (TVFCT) problem of general linear multiagent systems (MASs). The MASs consist of a nonautonomous tracking leader, multiple formation leaders and followers, and all agents are subject to unknown disturbances. A human operator is deployed to supervise and regulate the entire team by sending a command signal to the tracking leader. The control input of the tracking leader should be combined with the human operator but not available to other agents. First, a local observer associated with each agent is constructed to provide asymptotic state estimation, in which the observer error system is disturbance-free. Also, interval observers are established for the neighborhood TVFCT errors, where the disturbance of the current agent is aggregated with the disturbances and input signals of its neighbors into an unknown input. Meanwhile, a distributed asymptotic unknown input reconstruction (UIR) mechanism is proposed that decouples the control input of the current agent. The consequent control protocol is designed by combining the local observer and distributed UIR scheme. Finally, the theoretical results are verified in multirobot formation-containment control.