Iterative learning control for distributed parameter systems based on actuator-sensor network

The iterative learning control technique is generalized to distributed parameter systems based on actuator-sensor network. Firstly, an open-loop D-type and a closed-loop D-lype ILC schemes are presented for a class of distributed parameter system with single sensor-actuator respectively. Then, we derive sufficient conditions for tracking error convergence. Secondly, we consider distributed parameter systems with multiple sensors-actuators and obtain the convergence of tracking error under an open-closed-loop D-type ILC scheme. The numerical simulation results illustrate the effectiveness of the proposed ILC schemes.