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Title

ADAPTIVE INTERVAL TYPE-2 FUZZY SLIDING MODE CONTROL FOR A CLASS OF UNCERTAIN NONLINEAR SYSTEMS

Year: 1389
COI: ICFUZZYS10_070
Language: EnglishView: 1,468
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Abstract:

A stable adaptive interval type-2 fuzzy sliding mode control for a class of nonlinear systems is investigated. The method is based on interval type-2 fuzzy logic system (IT2 FLS) to approximate unknown nonlinear functions. The use of this type-2 control requires an additional operation which is the type reduction, in comparing with typ-1 control. The proposed controller use singleton fuzzifier, product inference engine, center of sets type reduction and average defuzzifier. Based on the Lyapunov method, we design the adaptive interval type-2 fuzzy sliding mode control with mathematical proofs for stability and convergence of the closed-loop system. Two nonlinear system simulation examples are presented to verify the effectiveness of the (IT2 FLS) that is introduced.

Keywords:

Adaptive interval type-2 fuzzy sliding mode , Uncertain nonlinear systems , Type-1 and interval type-2 fuzzy set , Interval type-2 fuzzy logic system (IT2 FLS) , Type reducer

Paper COI Code

This Paper COI Code is ICFUZZYS10_070. Also You can use the following address to link to this article. This link is permanent and is used as an article registration confirmation in the Civilica reference:

https://civilica.com/doc/161516/

How to Cite to This Paper:

If you want to refer to this Paper in your research work, you can simply use the following phrase in the resources section:
Ghaemi, Mostafa and Akbarzadeh-T, Mohammad-R,1389,ADAPTIVE INTERVAL TYPE-2 FUZZY SLIDING MODE CONTROL FOR A CLASS OF UNCERTAIN NONLINEAR SYSTEMS,10th Iranian Conference on Fuzzy Systems,Tehran,https://civilica.com/doc/161516

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