Approach of iterative learning control for nonlinear continuous system based on model identification
基于模型辨识的非线性连续系统的迭代学习控制

Based on the proposed algorithm for model identification, this paper presents a very efficient approach of iterative learning control (ILC) for nonlinear continuous system, in which the concrete nonlinear relation of the nonlinear continuous system is not required, and the initial error of the system is permitted.