Adaptive Iterative Learning Control for Discrete-Time Linear Systems with Iteration-Time-Varying and Unknown Parameters under Event-Triggered Mechanism

In this paper, an adaptive iterative learning control method is proposed for linear systems with iteration-time-varying unknown parameters. An estimation parameter updating law under the event-triggered mechanism is designed by utilizing the estimated state error. By designing an optimal controller based on estimated system, the boundedness of tracking error along the iteration axis is ensured. The effectiveness of our proposed approach is demonstrated by numerical examples.