Exploring the finite-time dissipativity of Markovian jump delayed neural networks

In this paper, we study the finite-time dissipativity analysis of Markovian jump-delayed neural networks (MJDNNs). The goal is to establish less conservative results for extended dissipativity conditions for delayed MJDNNs. To achieve this, an appropriate Lyapunov-Krasovskii functional (LKF) with no...

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Bibliografiske detaljer

Principais autores:	V.E. Sathishkumar, R. Vadivel, Jaehyuk Cho, Nallappan Gunasekaran
Format:	Artigo
Sprog:	Inglês
Udgivet:	Elsevier 2023-09-01
Serier:	Alexandria Engineering Journal
Fag:	Linear matrix inequality Lyapunov method Finite-time dissipativity Markovian jump neural networks Time-varying delays
Online adgang:	http://www.sciencedirect.com/science/article/pii/S1110016823006634
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