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Robust Stability Analysis for Stochastic Neural Networks With Time-Varying Delay

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2 Author(s)
Wu-Hua Chen ; Coll. of Math. & Inf. Sci., Guangxi Univ., Nanning, China ; Wei Xing Zheng

This brief investigates the problem of mean square exponential stability of uncertain stochastic delayed neural networks (DNNs) with time-varying delay. A novel Lyapunov functional is introduced with the idea of the discretized Lyapunov-Krasovskii functional (LKF) method. Then, a new delay-dependent mean square exponential stability criterion is derived by applying the free-weighting matrix technique and by equivalently eliminating time-varying delay through the idea of convex combination. Numerical examples illustrate the effectiveness of the proposed method and the improvement over some existing methods.

Published in:

Neural Networks, IEEE Transactions on  (Volume:21 ,  Issue: 3 )

Date of Publication:

March 2010

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