Sub-Optimal Tracking in Switched Systems With Controlled Subsystems and Fixed-Mode Sequence Using Approximate Dynamic Programming

Abstract

Optimal tracking in switched systems with controlled subsystem and Discrete-time (DT) dynamics is investigated. A feedback control policy is generated such that a) the system tracks the desired reference signal, and b) the optimal switching time instants are sought. For finding the optimal solution, approximate dynamic programming is used. Simulation results are provided to illustrate the effectiveness of the solution.

Sub-optimal tracking in switched systems with fixed final time and fixed mode sequence using reinforcement learning

“…With c W 0 k , one finds u 0 and uses this policy to propagate the states. Using ( 26) or (28), one finds c W 1 k . This process continues until the weights converge.…”

“…The preliminary results of this research were presented in ASME 2019 Dynamic Systems and Control Conference[28].…”