Department of Mathematics, Harbin Institute of Technology (Weihai), Weihai, Shandong 264209, China;Department of Control Science and Engineering, Harbin Institute of Technology (Weihai), Shandong 264209, China
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.