Improved delay-dependent stability criteria for discrete-time stochastic neural networks with time-varying delays
Mengzhuo Luo, Shouming Zhong · Procedia Engineering · 2011
This letter, investigates the problem of mean square exponential stability for a class of discrete-time stochastic neural network with time-varying delays. By constructing a appropriate Lyapunov-Krasovskii functional, combining the stochastic stability theory, and the convex theory method, a delay-dependent exponential stability criteria is obtained in term of LMIs. Finally, a numerical example is exploited to show the usefulness of the results derived.