A neuro-controller with guaranteed stability

被引：0

作者：

Menhaj, MB ^{[1
]}

Rouhani, M ^{[1
]}

机构：

[1] Oklahoma State Univ, Sch Elect & Comp Engn, ES 202, Stillwater, OK 74078 USA

来源：

2002 45TH MIDWEST SYMPOSIUM ON CIRCUITS AND SYSTEMS, VOL III, CONFERENCE PROCEEDINGS | 2002年

关键词：

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：

This paper introduces a MLP-based neuro-controller with a learning algorithm that guarantees the stability of a class of closed loop neural. network control systems. The underlying control system represents a special class of non-linear systems. The neuro-controller indeed represents a direct adaptive controller and assumes that all the sates are measurable. In the design, no additional controllers or robustifying terms are needed. Neural network weight matrices are adapted online with no initial offline training.

引用

页码：33 / 36

页数：4

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