一种基于输出误差的有模型离散时间动态系统迭代学习控制算法

An Output-Error-Based Model-Havng Iterative Learning Control Algorithm for Discrete-Time Dynamic Systems

本文对D.-H.HHwang等人提出的一种离散时间动态系统选代学习控制算法进行了改进,使其可用到仅知输出误差的系统,同时,给出了迭代学习算法渐近收敛的充分条件.这种算法可用于参数未知,但呈周期性变化的线性或非线性离散时间动态系统.

In this paper a new control algorithm is suggested, which improves the model-having iterative learning control algorithm for discrete-time dynamic systems provided by D.H. Hwang, et. al. It can be used to the system which can give output error only. Then a sufficient condition for asymptotical convergence of the iterative learning control algorithm is provided. The algorithm can be used to a calss of linear or nonlinear system with unknown but periodic parameters.