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Volume 4, Issue 3
Stability of Delayed Markovian Switching Stochastic Neutral-Type Reaction-Diffusion Neural Networks

Suriguga , Chuntao Shao & Yonggui Kao

DOI: 10.12150/jnma.2022.562

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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  • 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.

  • Keywords

Markovian switching, Neutral-type, Neural network, Reaction-diffusion system.

  • AMS Subject Headings

34D99, 34F05, 35K57

  • Copyright

COPYRIGHT: © Global Science Press

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@Article{JNMA-4-562, author = { , SurigugaShao , Chuntao and Kao , Yonggui}, title = {Stability of Delayed Markovian Switching Stochastic Neutral-Type Reaction-Diffusion Neural Networks}, journal = {Journal of Nonlinear Modeling and Analysis}, year = {2022}, volume = {4}, number = {3}, pages = {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.

}, issn = {2562-2862}, doi = {https://doi.org/10.12150/jnma.2022.562}, url = {http://global-sci.org/intro/article_detail/jnma/20725.html} }
TY - JOUR T1 - Stability of Delayed Markovian Switching Stochastic Neutral-Type Reaction-Diffusion Neural Networks AU - , Suriguga AU - Shao , Chuntao AU - Kao , Yonggui JO - Journal of Nonlinear Modeling and Analysis VL - 3 SP - 562 EP - 586 PY - 2022 DA - 2022/06 SN - 4 DO - http://doi.org/10.12150/jnma.2022.562 UR - https://global-sci.org/intro/article_detail/jnma/20725.html KW - Markovian switching, Neutral-type, Neural network, Reaction-diffusion system. AB -

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.

Suriguga , Chuntao Shao & Yonggui Kao. (2022). Stability of Delayed Markovian Switching Stochastic Neutral-Type Reaction-Diffusion Neural Networks. Journal of Nonlinear Modeling and Analysis. 4 (3). 562-586. doi:10.12150/jnma.2022.562
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