A new iterative learning control algorithm with global convergence for nonlinear systems

In this paper, a new iterative learning control algorithm with global convergence for nonlinear systems is presented. By introduced a relax parameter, the global convergence of this new algorithm is obtained. The new iterative learning scheme can be used to nonlinear systems where dimensions of input controls are not equal to dimensions of the output function. The sufficient conditions of convergence of the iterative learning control algorithm are given and proved.