PROJECT TITLE :

Robust Exponential Stability of Uncertain Stochastic Neural Networks With Distributed Delays and Reaction-Diffusions

ABSTRACT:

This paper considers the matter of stability analysis for uncertain stochastic neural networks with distributed delays and reaction-diffusions. Two sufficient conditions for the sturdy exponential stability within the mean sq. of the given network are developed by using a Lyapunov-Krasovskii practical, an integral inequality, and some analysis techniques. The conditions, that are expressed by linear matrix inequalities, will be simply checked. Two simulation examples are given to demonstrate the reduced conservatism of the proposed conditions.


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