Paper Info
Title
Fuzzy Arithmetic-based Stability Analysis and Design of Fuzzy Controller
Abstract
Initially introduced as a model-free control design method, in today practice fuzzy control is dominantly used as yet another nonlinear control technique based either on a linear or nonlinear model of a process. This paper addresses the stability assessment of a fuzzy logic control system based only on the partial knowledge of a controlled process. Lyapunov stability conditions are derived and analyzed by using fuzzy numbers and fuzzy arithmetic. The experimental results obtained for a non-stable second-order system confirmed that this approach could be successfully implemented. Some questions, addressed in the paper, remained open for further investigation.
Year
DOI
Venue
2007
10.1109/COASE.2007.4341699
2007 IEEE International Conference on Automation Science and Engineering
Keywords
Field
DocType
stability analysis,fuzzy controller,nonlinear control,fuzzy logic,Lyapunov stability
Neuro-fuzzy,Defuzzification,Fuzzy classification,Control theory,Fuzzy set operations,Fuzzy logic,Control engineering,Fuzzy control system,Fuzzy associative matrix,Fuzzy number,Mathematics
Conference
ISSN
ISBN
Citations 
2161-8070
978-1-4244-1153-5
0
PageRank 
References 
Authors
0.34
12
4
Name
Order
Citations
PageRank
Stjepan Bogdan115228.12
Zdenko Kovacic25915.27
Ivana Fazinic300.34
Ivica Draganjac4262.75