Iterative Learning Control for a Class of Nonlinear Similar Composite Systems

A class of nonlinear composite large-scale systems with similar structure is analyzed by using partially linearization technique. Unlike the existing results, a kind of feedback law is given to construct a closed-loop systems at first. Then, a sufficient condition guarateeing the convergence of iterative learning control for the systems is shown, and what is more, the iterative initial states are got by the desired output directly. It's shown that similar structure may be used to simplify systems analyses and design.