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Decay rate performance approach for stabilization continuous fuzzy models using their discretized forms

Ameni Ellouze (Department of Electrical Engineering, National School of Engineers of Sfax, University of Sfax, Sfax, Tunisia)
François Delmotte (University of Lille, Lille, France AND University of Artois Technoparc Futura, Bethune, France)
Jimmy Lauber (University of Valenciennes and Hainaut-Cambrésis, Valenciennes, France)
Mohamed Chtourou (Department of Electrical Engineering, National School of Engineers of Sfax, University of Sfax, Sfax, Tunisia)
Mohamed Ksantini (Department of Electrical Engineering, National School of Engineers of Sfax, University of Sfax, Sfax, Tunisia)

International Journal of Intelligent Computing and Cybernetics

ISSN: 1756-378X

Article publication date: 9 November 2015

94

Abstract

Purpose

The purpose of this paper is to deal with the stabilization of the continuous Takagi Sugeno (TS) fuzzy models using their discretized forms based on the decay rate performance approach.

Design/methodology/approach

This approach is structured as follows: first, a discrete model is obtained from the discretization of the continuous TS fuzzy model. The discretized model is obtained from the Euler approximation method which is used for several orders. Second, based on the decay rate stabilization conditions, the gains of a non-PDC control law ensuring the stabilization of the discrete model are determined. Third by keeping the values of the gains, the authors determine the values of the performance criterion and the authors check by simulation the stability of the continuous TS fuzzy models through the zero order hold.

Findings

The proposed idea lead to compare the performance continuous stability results with the literature. The comparison is, also, taken between the quadratic and non-quadratic cases.

Originality/value

Therefore, the originality of this paper consists in the improvement of the continuous fuzzy models by using their discretized models. In this case, the effect of the discretization step on the performances of the continuous TS fuzzy models is studied. The usefulness of this approach is shown through two examples.

Keywords

Citation

Ellouze, A., Delmotte, F., Lauber, J., Chtourou, M. and Ksantini, M. (2015), "Decay rate performance approach for stabilization continuous fuzzy models using their discretized forms", International Journal of Intelligent Computing and Cybernetics, Vol. 8 No. 4, pp. 383-400. https://doi.org/10.1108/IJICC-06-2015-0020

Publisher

:

Emerald Group Publishing Limited

Copyright © 2015, Emerald Group Publishing Limited

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