Finite-time stability for a class of fractional-order fuzzy neural networks with proportional delay

dc.contributor.author	Tyagi, S.
dc.contributor.author	Martha, S.C.
dc.date.accessioned	2020-03-09T10:49:54Z
dc.date.available	2020-03-09T10:49:54Z
dc.date.issued	2020-03-09
dc.identifier.uri	http://localhost:8080/xmlui/handle/123456789/1508
dc.description.abstract	In this paper, we consider a class of fuzzy neural networks of fractional-order and proportional time delay. We derive sufficient conditions for the finite-time stability of the considered system using finite-time stability theory and fractional calculus and employing differential inequality techniques. The results are obtained in terms of simple algebraic inequalities, which can be easily verified. In the end, we give a numerical example to validate the analytical findings.	en_US
dc.language.iso	en_US	en_US
dc.subject	Fuzzy neural networks	en_US
dc.subject	Fractional-order	en_US
dc.subject	Finite-time stability	en_US
dc.subject	Proportional delay	en_US
dc.title	Finite-time stability for a class of fractional-order fuzzy neural networks with proportional delay	en_US
dc.type	Article	en_US