Iterative learning control for distributed parameter switched systems

Iterative learning control technique is applied to a class of distributed parameters switched systems, using P-type learning control law to investigate the problem of target tracking control. Convergence condition of the P type iterative learning control law have been proposed in this paper, and the convergence analysis has been given. It is assumed that the subsystem is operated during a finite time interval repetitively. The simulation results illustrate that the P-type iterative learning control algorithm for a class of distributed parameter switched system is effective.