Real-time adaptive neural control of a class of nonlinear systems

被引：4

作者：

Lizarraga, I ^{[1
]}

Etxebarria, V ^{[1
]}

机构：

[1] Univ Basque Country, Fac Ciencias, Dept Elect & Elect, Bilbao 48080, Spain

来源：

ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE | 1999年 / 12卷 / 01期

关键词：

adaptive control; neural networks; real-time control; nonlinear systems; robustness;

D O I：

10.1016/S0952-1976(98)00049-9

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

An adaptive neural control scheme is tested here by means of real-time control experiments developed for controlling a class of linear and nonlinear systems. The adopted neural control scheme has many stability and convergence properties, which were analyzed from a theoretical point of view in a previous work of the authors. The experimental results presented here extend the scope of the neural control design as it was originally formulated, and demonstrate that it can be used for controlling both linear and nonlinear plants. The experiments also prove that the proposed neural control design performs well, not only in theory, but in real tests as well. (C) 1999 Elsevier Science Ltd. All rights reserved.

引用

页码：3 / 19

页数：17

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