Iterative learning control for moving boundary distributed parameter systems with control delays under sensor/actuator networks

The iterative learning control problem of moving boundary distributed parameter systems with control delay under sensor/actuator networks is studied. A P-type iterative learning algorithm with known delays is proposed. The convergence of linear systems with sensor/actuator networks is proved by using compression mapping principle. In order to further verify the feasibility of the algorithm the nonlinear system with control delay is also considered, and its convergence is proved by strict mathematical analysis. Through strict mathematical analysis, the condition of convergence of output error is obtained. Numerical results show the effectiveness of the proposed method.