Robust Stochastic Stability Analysis for Uncertain Neutral-Type Delayed Neural Networks Driven by Wiener Process

الملخص EN

The robust stochastic stability for a class of uncertain neutral-type delayed neural networks driven by Wiener process is investigated.

By utilizing the Lyapunov-Krasovskii functional and inequality technique, some sufficient criteria are presented in terms of linear matrix inequality (LMI) to ensure the stability of the system.

A numerical example is given to illustrate the applicability of the result.