On the Stability and Control of Continuous-Time TSK Fuzzy Systems

This paper introduces a new stability test and control design methodology for type-1 and type-2 continuous-time (CT) Takagi-Sugeno-Kang systems. Unlike methods based on a common Lyapunov function, our stability results apply for systems with unstable consequents, and our controllers can be designed...

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Veröffentlicht in:IEEE transactions on cybernetics 2013-06, Vol.43 (3), p.1073-1087
Hauptverfasser: Jafarzadeh, S., Fadali, M. S.
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description This paper introduces a new stability test and control design methodology for type-1 and type-2 continuous-time (CT) Takagi-Sugeno-Kang systems. Unlike methods based on a common Lyapunov function, our stability results apply for systems with unstable consequents, and our controllers can be designed for systems with unstabilizable consequents. The stability results are derived using the comparison principle with a discontinuous function and the upper right-hand derivative. The control results include CT fuzzy proportional controllers and fuzzy proportional-integral controllers that can be obtained by solving linear matrix inequalities. We provide several examples to demonstrate our stability testing and controller design and compare our results to available methods in the literature. Our results compare favorably with results available in the literature and provide stability tests and controllers where earlier approaches fail.
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subjects Algorithms
Artificial Intelligence
Comparison principle
Control design
Control systems
Controllers
Design engineering
Feedback
Fuzzy
fuzzy control
Fuzzy Logic
Fuzzy set theory
Fuzzy systems
Indexes
Lyapunov methods
Models, Statistical
Pattern Recognition, Automated - methods
Stability
Stability criteria
Stability tests
Takagi-Sugeno-Kang (TSK) systems
type-2 fuzzy systems
Vectors
title On the Stability and Control of Continuous-Time TSK Fuzzy Systems
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