线性时变系统的分散自校正控制  

Decentralized Self-Tuning Control of Linear Time-Varying System

作　　者：游少鹏[1] 

机构地区：[1]四川联合大学自动化系,成都610065

出　　处：《控制理论与应用》1998年第5期708-715,共8页Control Theory & Applications

基　　金：国家自然科学基金!69374011

摘　　要：本文对由存在有界扰动和非线性关联的子系统组成的线性时变离散大系统提出了一种多项式逼近的分散自校正控制算法．也可用神经网络去实现自校正控制，采用神经网络作为预报和控制器，网络学习算法用Widrow－Hoff规则．证明了这种分散自校正控制系统的稳定性．仿真结果表明系统是稳定的，可以很好地跟踪期望输出．In this paper,a decentralized self-tuning control algorithm using polynomial approximation is presented for linear time-varying discrete large-scale systems consiting of subsystems with bounded disturbances and nonlinear interconnections. We also propose using neural networks to realize the decentralized selftuning control. The neural networks are employed to predict the plant model and use as a controller. The Widrow-Hoff rule is used as learning algorithm for the networks. The simulation results demonstrate that the system is stable and can track the desired output quite well.

关 键 词：自校正控制 分散自校正控制 线性时变系统 

分 类 号：TP273.2[自动化与计算机技术—检测技术与自动化装置]