Iterative learning control for discrete-time nonlinear systems

Abstract
An iterative learning control method is proposed for a class of nonlinear discrete-time systems. The output of a system is shown to converge to a desired output for a finite time interval by using the proposed learning method under a certain condition. The proposed learning control method is applied to the tracking control of a two-link robot manipulator and the effectiveness of the learning is observed in the simulation

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