Iterative Learning Consensus Control for Continuous- Time Nonlinear Heterogeneous Switched Multi-Agent Systems
Song Yang, Xiao‐Dong Li · 2024
A class of continuous-time nonlinear heterogeneous switched multi-agent systems (MASs) is considered in this research, where each agent contains a finite number of subsystems because of the switching behaviors in the dynamic models. Then, we propose a distributed iterative learning control (ILC) algorithm for the leader-following consensus of the switched MASs subject to the switched dynamic models, and the control objective is to prompt all agents to follow the leader agent over a finite time interval. Finally, a convergence theorem is proposed and proved by using the contracting mapping principle, and its effectiveness is verified through a simulation.