ADAPTIVE-CONTROL OF NONLINEAR-SYSTEMS USING NEURAL NETWORKS

被引：210

作者：

CHEN, FC ^{[1
]}

KHALIL, HK ^{[1
]}

机构：

[1] MICHIGAN STATE UNIV,DEPT ELECT ENGN,E LANSING,MI 48824

来源：

INTERNATIONAL JOURNAL OF CONTROL | 1992年 / 55卷 / 06期

基金：

美国国家科学基金会;

关键词：

D O I：

10.1080/00207179208934286

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

Layered networks are used in a nonlinear adaptive control problem. The plant is an unknown feedback-linearizable discrete-time system, represented by an input-output model. A state space model of the plant is obtained to define the zero dynamics, which are assumed to be stable. A linearizing feedback control is derived in terms of some unknown nonlinear functions. To identify these functions, it is assumed that they can be modelled by layered neural networks. The weights of the networks are updated and used to generate the control. A local convergence result is given. Computer simulations verify the theoretical result.

引用

页码：1299 / 1317

页数：19

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