A Model Reference Adaptive Iterative Learning Control System

We consider the iterative learning control problem from an adaptive control viewpoint. The MRAILCS (model reference adaptive iterative learning control systems) problem is formulated in a general case, when the underlying repetitive system is possibly MIMO (multi input multi output), its parameters and initial conditions are all unknown, and also the system has unknown disturbance inputs. A solution procedure is presented for this problem. The Lyapunov technique is employed to ensure the convergence of the presented MRAILCS. The computer simulation results are included to illustrate the effectiveness of the proposed procedure