LMI Approach for Stochastic Stability of Markovian Jumping Hopfield Neural Networks with Wiener Process

摘要

This paper deals with the stochastic stability problem for Markovian jumping Hopfield neural networks (MJHNNs) with time-varying delays and Wiener process. Our attention is focused on developing sufficient conditions on stochastic stability, even if the system contains Wiener process. All the obtained results are presented in terms of linear matrix inequality. The efficiency of the proposed results is demonstrated via two numerical examples