基于模型辨识的非线性连续系统的迭代学习控制

Approach of iterative learning control for nonlinear continuous system based on model identification

基于非线性连续动态的模型辨识算法 ,给出了非线性连续系统的一种非常有效的迭代学习控制方案 .该控制方案不要求非线性连续系统中具体的非线性关系 ,并且容许系统初始误差的存在 .

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.