DocumentCode :
354017
Title :
Design of self-learning multivariable fuzzy controller based on fuzzy sliding-mode
Author :
Yong, Qin ; Limin, Jia
Author_Institution :
Res. Centre for Intelligent Control, Acad. of Railway Scis., Beijing, China
Volume :
3
fYear :
2000
fDate :
2000
Firstpage :
1775
Abstract :
Based on the definition of fuzzy sliding-mode, a fuzzy control algorithm with generalized control rules and a new controller configuration for dealing with complex multivariable systems is presented. It also keeps the hierarchical self-learning ability without the mathematical model of the controlled plant, and can be easily transferred into practical applications. The experimental simulation results and engineering applications show the effectiveness of the algorithm presented
Keywords :
control system synthesis; fuzzy control; multivariable control systems; self-adjusting systems; variable structure systems; fuzzy control; mathematical model; multivariable control systems; output harmonic network; self-learning; sliding-mode control; Control systems; Fuzzy control; Fuzzy systems; Intelligent control; MIMO; Rail transportation; Sliding mode control;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Control and Automation, 2000. Proceedings of the 3rd World Congress on
Conference_Location :
Hefei
Print_ISBN :
0-7803-5995-X
Type :
conf
DOI :
10.1109/WCICA.2000.862779
Filename :
862779
Link To Document :
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