Design of self-learning multivariable fuzzy controller based on fuzzy sliding-mode

被引：0
|
作者：
Qin, Y [1 ]
Jia, LM [1 ]
机构：
[1] China Acad Railway Sci, Res Ctr Intelligent Control, Beijing 100081, Peoples R China
来源：
PROCEEDINGS OF THE 3RD WORLD CONGRESS ON INTELLIGENT CONTROL AND AUTOMATION, VOLS 1-5 | 2000年
关键词：
multivariable fuzzy control; fuzzy sliding-mode; universal fuzzy control rules base; generalized fuzzy basis function; output-harmony network; model-free self-learning algorithm;
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：
Based on the definition of fuzzy sliding-mode, a fuzzy control algorithm with generalized control rules and new controller configuration for dealing with complex multivariable systems is presented. It also keeps the hierarchical self-learning ability without the excise mathmatical model of the controlled plant, and can be easily transfered into the practical applications. The experimental simulation results and engineering applications show the effectiveness of the prensented algorithm.
引用
收藏
页码：1775 / 1779
页数：5
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