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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 ; College of Mathematics and Information Science, Guangxi University, 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:

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