New Results on Robust Exponential Stability of Uncertain Stochastic Neural Networks with Mixed Time-Varying Delays |
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| Authors: | Mingang Hua Xinzhi Liu Feiqi Deng Juntao Fei |
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| Affiliation: | 1.College of Computer and Information,Hohai University,Changzhou,China;2.Department of Applied Mathematics,University of Waterloo,Waterloo,Canada;3.College of Automation Science and Engineering,South China University of Technology,Guangzhou,China |
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| Abstract: | This letter considers the robust exponential stability of uncertain stochastic neural networks with mixed time-varying delays. By using Lyapunov–Krasovskii functional and Itô’s differential formula, several new sufficient conditions guaranteeing the global robust exponential stability are derived in terms of linear matrix inequalities. Numerical examples are given to illustrate the effectiveness and less conservativeness of our results. |
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