Leader-following consensus for nonlinear multi-agent systems with actuator saturation
Jing Xu, Jun Huang, Lin Yang, Haixiang Zhang · 2022 IEEE International Conference on Industrial Technology (ICIT) · 2022
This paper addresses the consensus problem based on state feedback for a class of leader-following multi-agent systems. The nonlinear term of the system is described by the T-S fuzzy model, and the actuator saturation is also considered. Using Lyapunov stability theory, we present sufficient conditions for the consensus problem, and estimate the domain of consensus. Then, a design method for the state feedback gain is deduced, and an algorithm based on linear matrix inequalities to achieve consensus is also given. Finally, the efficacy of the proposed controller is verified by a simulation example.