Design of a neuro-fuzzy controller for nonlinear systems

被引：0

作者：

Ghaffari, A ^{[1
]}

Sadighi, A ^{[1
]}

机构：

[1] KN Toosi Univ, Dept Mech Engn, Tehran, Iran

来源：

PROCEEDINGS OF THE SIXTH IASTED INTERNATIONAL CONFERENCE ON INTELLIGENT SYSTEMS AND CONTROL | 2004年

关键词：

fuzzy TSK systems; nonlinear control; stability; ANFIS; neural networks;

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

In this paper a neuro-fuzzy controller for nonlinear systems is designed. Since fuzzy techniques are capable of identifying unknown nonlinear systems using input-output data, at first a fuzzy TSK model of the nonlinear plant is constructed and then using nonlinear control techniques. a control law is obtained for fuzzy TSK model. Finally a neuro-fuzzy controller is designed based on this control law and the simulation results for a nonlinear mass-spring system, is presented.

引用

页码：227 / 231

页数：5

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