Performance-driven selective high-order stochastic iterative learning control with probabilistic guarantees.
This paper investigates stochastic iterative learning control (SILC) for discrete-time linear time-varying systems subject to process and measurement noise. High-order learning can smooth input updates by reusing historical errors, but a fixed high-order structure may sacrifice transient tracking performance when obsol...