Event-Triggered Iterative Learning Control for First-Order MIMO Discrete Nonlinear Hyperbolic Distributed Parameter Systems

This paper studies the iterative learning control issue for a class of MIMO discrete nonlinear hyperbolic distributed parameter system with event-triggered strategy. The purpose of the event-triggered mechanism is to reduce the number of input updates in the iterative learning process. The event-triggered condition is about the error information of two previous adjacent iterative batches. Then an event-triggered iterative learning control algorithm is proposed. Rigorous mathematical analysis is shown, tracking error can converge to zero along the direction of iterative axis. Simulation results illustrates the effectiveness of the proposed event-triggered iterative learning control algorithm.