Observer-based iterative learning control for discrete linear systems in finite frequency domains
For a class of discrete linear systems,this paper deals with the problem of designing an observer-based iterative learning control scheme in the finite frequency range.First,the controller is constructed by combining an observer-based state feedback with a PID-type feedforward learning term on the basis of the two-dimensional system theory.Then,by means of the Kalman-Yakubovich-Popov(KYP)lemma,the finite frequency domain specifications of the resulting closed-loop system are transformed into corresponding linear matrix inequalities(LMI),furthermore,the sufficient conditions for the existence of the controller and the observer are also obtained.Simultaneously,these conditions guarantee the stability of the close-loop controlled system and the monotonic convergence of the tracking error.Finally,the effectiveness of the proposed method is verified by the simulation of a gantry robot.
iterative learning controldiscrete linear systemsfinite frequency rangeobserver-based state feedbackgeneralized Kalman-Yakubovich-Popov lemma