DocumentCode :
1443202
Title :
The fusion of computationally intelligent methodologies and sliding-mode control-a survey
Author :
Kaynak, Okyay ; Erbatur, Kemalettin ; Ertugnrl, M.
Author_Institution :
Fac. of Eng., Bogazici Univ., Istanbul, Turkey
Volume :
48
Issue :
1
fYear :
2001
fDate :
2/1/2001 12:00:00 AM
Firstpage :
4
Lastpage :
17
Abstract :
This paper surveys how some “intelligence” can be incorporated in sliding-mode controllers (SMCs) by the use of computational intelligence methodologies in order to alleviate the well-known problems met in practical implementations of SMCs. The use of variable-structure system theory in design and stability analysis of fuzzy controllers is also discussed by drawing parallels between fuzzy control and SMCs. An overview of the research and applications reported in the literature in this respect is presented
Keywords :
artificial intelligence; fuzzy control; intelligent control; stability; variable structure systems; computationally intelligent methodologies; fuzzy controllers; sliding-mode control; sliding-mode controllers; soft computing; stability analysis; variable-structure system theory; Competitive intelligence; Computational intelligence; Control systems; Fuzzy control; Motion control; Pulse width modulation; Robots; Sliding mode control; Torque control; Voltage control;
fLanguage :
English
Journal_Title :
Industrial Electronics, IEEE Transactions on
Publisher :
ieee
ISSN :
0278-0046
Type :
jour
DOI :
10.1109/41.904539
Filename :
904539
Link To Document :
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