Stability Analysis for Discrete‐Time Stochastic Fuzzy Neural Networks with Mixed Delays
Yajun Li, Quanxin Zhu · Mathematical Problems in Engineering · 2019
This paper is concerned with the stability problem of a class of discrete‐time stochastic fuzzy neural networks with mixed delays. New Lyapunov‐Krasovskii functions are proposed and free weight matrices are introduced. The novel sufficient conditions for the stability of discrete‐time stochastic fuzzy neural networks with mixed delays are established in terms of linear matrix inequalities (LMIs). Finally, numerical examples are given to illustrate the effectiveness and benefits of the proposed method.