Paper Info
Title
A Simulink Model for Testing Uncertainty In Type-2 Fuzzy Controllers
Abstract
Uncertainty is an inherent part in controllers for real world applications. The use of new methods for handling incomplete information is of fundamental importance in engineering applications. This paper deals with a simulink model for testing type2 fuzzy logic controllers for minimizing the effects of uncertainty produced by instrumentation elements. We are proposing a model to deal with type-2 fuzzy logic controllers and we are showing a comparative analysis of the systems' response in the absence and presence of uncertainty.
Year
Venue
Keywords
2005
ICAI '05: PROCEEDINGS OF THE 2005 INTERNATIONAL CONFERENCE ON ARTIFICIAL INTELLIGENCE, VOLS 1 AND 2
fuzzy logic,type-1,type-2,controller,simulink
Field
DocType
Citations 
Control theory,Computer science,Fuzzy logic
Conference
0
PageRank 
References 
Authors
0.34
0
5
Name
Order
Citations
PageRank
Roberto Sepúlveda110414.22
Oscar Castillo25289452.83
Patricia Melin34009259.43
Antonio Rodríguez Díaz412611.51
Oscar Montiel551838.41