Learning Control for Nonlinear System and Its Application in Robot

Abstract

Iterative learning control for a class of nonlinear system is considered, and a kind of condition is presented for guaranteeing the convergence of the proposed iterative algorithm. The desired signal is tracked precisely after iteration step by step, and the iterative initial state does not depend on desired state and desired input. At last, simulation for robot system shows the effectiveness of our conclusion.