Year: 2022
Author: Suriguga , Chuntao Shao, Yonggui Kao
Journal of Nonlinear Modeling and Analysis, Vol. 4 (2022), Iss. 3 : pp. 562–586
Abstract
This paper is concerned about exponential stability in mean square of Markovian switching delayed reaction-diffusion neutral-type stochastic neural networks (RNSNNs). By Lyapunov function method, several novel stability criteria on exponential mean square stability of Markovian switching RNSNNs with time-varying delays are obtained. In the end, two examples are given to verify the feasibility of our findings.
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Journal Article Details
Publisher Name: Global Science Press
Language: English
DOI: https://doi.org/10.12150/jnma.2022.562
Journal of Nonlinear Modeling and Analysis, Vol. 4 (2022), Iss. 3 : pp. 562–586
Published online: 2022-01
AMS Subject Headings:
Copyright: COPYRIGHT: © Global Science Press
Pages: 25
Keywords: Markovian switching Neutral-type Neural network Reaction-diffusion system.