Paper Info
Title
Systematic design of a stable type-2 fuzzy logic controller
Abstract
Stability is one of the more important aspects in the traditional knowledge of automatic control. Type-2 fuzzy logic is an emerging and promising area for achieving intelligent control (in this case, fuzzy control). In this work we use the fuzzy Lyapunov synthesis as proposed by Margaliot and Langholz [M. Margaliot, G. Langholz, New Approaches to Fuzzy Modeling and Control: Design and Analysis, World Scientific, Singapore, 2000] to build a Lyapunov stable type-1 fuzzy logic control system, and then we make an extension from a type-1 to a type-2 fuzzy logic control system, ensuring the stability on the control system and proving the robustness of the corresponding fuzzy controller.
Year
DOI
Venue
2008
10.1016/j.asoc.2007.02.021
Appl. Soft Comput.
Keywords
Field
DocType
fuzzy lyapunov synthesis,type-2 fuzzy logic control,intelligent control,corresponding fuzzy controller,type-2 fuzzy logic,control system,automatic control,systematic design,type-1 fuzzy logic control,fuzzy control,stability,type-2 fuzzy logic controller,g. langholz,traditional knowledge,fuzzy logic
Fuzzy electronics,Neuro-fuzzy,Defuzzification,Fuzzy classification,Control theory,Fuzzy set operations,Fuzzy logic,Fuzzy control system,Fuzzy number,Mathematics
Journal
Volume
Issue
ISSN
8
3
Applied Soft Computing Journal
Citations 
PageRank 
References 
44
1.77
11
Authors
4
Name
Order
Citations
PageRank
Oscar Castillo15289452.83
Luís Aguilar2441.77
Nohe R. Cazarez-Castro31388.57
Selene Cardenas4716.59