On iterative learning control for remote control systems with packet losses

The problem of iterative learning control (ilc) is considered for a class of time-varying systems with random packet dropouts. it is assumed that an ilc scheme is implemented via a remote control system and that packet dropout occurs during the packet transmission between the ilc controller and the actuator of remote plant. the packet dropout is viewed as a binary switching sequence which is subject to the bernoulli distribution. in order to eliminate the effect of packet dropouts on the convergence property of output error,the hold-input scheme is adopted to compensate the packet dropout at the actuator. it is shown that the hold-input scheme with average ilc can achieve asymptotical convergence along the iteration axis for discrete time-varying linear system. numerical examples are provided to show the effectiveness of the proposed method. © 2013 chunping liu et al.