Suboptimal Scheduling in Switched Systems With Continuous-Time Dynamics: A Least Squares Approach
Tohid Sardarmehni, Ali Heydari · IEEE Transactions on Neural Networks and Learning Systems · 2017
Two approximate solutions for optimal control of switched systems with autonomous subsystems and continuous-time dynamics are presented. The first solution formulates a policy iteration (PI) algorithm for the switched systems with recursive least squares. To reduce the computational burden imposed by the PI algorithm, a second solution, called single loop PI, is presented. Online and concurrent training algorithms are discussed for implementing each solution. At last, effectiveness of the presented algorithms is evaluated through numerical simulations.