Model Reference Based Neural Network Adaptive Controller

被引：0

作者：

Wang Ding-lei ^{[1
]}

机构：

[1] Anyang Normal Univ, Comp & Informat Engn Sch, Anyang, South Korea

来源：

2008 IEEE INTERNATIONAL SYMPOSIUM ON KNOWLEDGE ACQUISITION AND MODELING WORKSHOP PROCEEDINGS, VOLS 1 AND 2 | 2008年

关键词：

Model reference; Neural network; Adaptive controller;

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Linear system theory has made significant contribute to the developments of the classical control's area in the past three decades. The motivation of this paper emerges from the need to develop novel control strategies that can be applied to nonlinear dynamic systems. Furthermore, the need for an adaptive scheme emerges for dealing with time varying systems. Paper presents model reference based neural network structure that can be used for adaptive control of linear and nonlinear processes. The proposed neural network controller is tested on a simulated linear system.

引用

页码：754 / 756

页数：3