Adaptive Fuzzy Optimal Control for Interconnected Switched Nonlinear Systems With Dwell Time

This article focuses on the problem of adaptive optimal tracking control of interconnected switched systems on dwell time. The objective is to establish interconnection between switched systems, stabilize each switched system, and achieve optimal performance over the dwell time. An actor-critic learning technique is utilized to design the optimal controller by evaluating the performance via the critic and improving the policy via the actor. During the design of the cost function and optimization process, we employed non-zero-sum game theory to incorporate the interconnection factors among systems. The proposed control scheme designs a novel relaxed stability condition for switched subsystems and validates the effectiveness by using a Lyapunov function with a value function. Finally, the designed control scheme can be verified by simulation.