Results on passivity analysis of delayed fractional-order neural networks subject to periodic impulses via refined integral inequalities

This manuscript is concerned with analysing the passiveness of fractional-order neural networks with parameter uncertainties, delays, and periodic impulses. This work mainly focuses on the issue of the lack of suitable Lyapunov functionals for delay-dependent stability/passivity analysis of fraction...

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Vydané v:	Computational & applied mathematics Ročník 41; číslo 4
Hlavní autori:	Padmaja, N., Balasubramaniam, P.
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Cham Springer International Publishing 01.06.2022 Springer Nature B.V
Predmet:	Applications of Mathematics Applied physics Computational mathematics Computational Mathematics and Numerical Analysis Derivatives Impulses Integrals Liapunov direct method Liapunov functions Linear matrix inequalities Mathematical Applications in Computer Science Mathematical Applications in the Physical Sciences Mathematics Mathematics and Statistics Neural networks Parameter uncertainty Passivity Stability analysis Stability criteria 93D20 Fractional-order integral inequality Refined looped functional Passivity analysis 26A33 Stability analysis 93D30 34A08
ISSN:	2238-3603, 1807-0302
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