一类未知非线性系统的智能迭代学习控制  

Intelligent iterative learning control for a class of unknown nonlinear systems

作　　者：杨小军[1] 李俊民[1] 

机构地区：[1]西安电子科技大学应用数学系,陕西西安710071

出　　处：《控制与决策》2002年第3期360-363,共4页Control and Decision

摘　　要：从自适应的角度设计迭代学习控制 ,将神经网络引入迭代学习控制中。学习控制与自适应控制相结合 ,使得对网络权值的学习和跟踪控制同时进行 ,克服了经典迭代学习控制的一些缺陷。基于L yapunov直接方法 ,证明了整个控制系统的稳定性并实现了任意精度的跟踪。The iterative learning control(ILC) is designed from the viewpoint of adaptive control. The neural network is introduced into ILC. The learning control is incorporated with the adaptive control, so the tracking control could be processed with the learning of weight simultaneously. Some defects of traditional ILC are avoided. Based on the Lyapunov direct method, the stability of the control system is shown and arbitrary output tracking accuracy is achieved. The effectiveness and advantage of the proposed algorithm are illustrated through a simulation example.

关 键 词：未知非线性系统 智能迭代学习控制 神经网络 

分 类 号：TP273.22[自动化与计算机技术—检测技术与自动化装置]