J. Nonl. Mod. Anal., 4 (2022), pp. 562-586.
Published online: 2022-06
[An open-access article; the PDF is free to any online user.]
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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.
}, issn = {2562-2862}, doi = {https://doi.org/10.12150/jnma.2022.562}, url = {http://global-sci.org/intro/article_detail/jnma/20725.html} }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.