神经网络离散建模算法在迭代学习控制中的应用

Application in Iterative Learning Control Based on the Discrete Modeling Algorithm with Neural Network

利用神经网络离散建模算法,给出了非线性离散系统的一种新颖的迭代学习控制方法.该迭代学习控制方法允许控制初始状态误差的存在且保证仅经过几次迭代就可使系统达到很高的控制精度.

A novel approach of iterative learning control for nonlinear discretetime system is presented by using the discrete modeling algorithm with neural network. This proposed approach can endure the existence of initial state error, and achieve a high control accuracy through only several iterations.