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