A method of model reference adaptive control for MIMO nonlinear systems using neural networks

被引：0
|
作者：
Lu, JM [1 ]
Phuah, JS [1 ]
Yahagi, T [1 ]
机构：
[1] Chiba Univ, Grad Sch Sci & Technol, Chiba 2638522, Japan
来源：
IEICE TRANSACTIONS ON FUNDAMENTALS OF ELECTRONICS COMMUNICATIONS AND COMPUTER SCIENCES | 2001年 / E84A卷 / 08期
关键词：
MRAC; MIMO nonlinear system; neural network;
D O I：
暂无
中图分类号：
TP3 [计算技术、计算机技术];
学科分类号：
0812 ;
摘要：
This paper presents a method of MRAC(model reference adaptive control) for MIMO (multi-input multi-output) nonlinear systems using NNs (neural networks). The control input is given by the sum of the output of a model reference adaptive controller and the output of the NN (neural network). The NN is used to compensate the nonlinearity of plant dynamics that is not taken into consideration in the usual MRAC. The role of the NN is to construct a linearized model by minimizing the output error caused by nonlinearities in the control Systems.
引用
收藏
页码：1933 / 1941
页数：9
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