Improved result on stability analysis of discrete stochastic neural networks with time delay |
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Authors: | Zhengguang Wu Hongye Su Wuneng Zhou |
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Institution: | a National Laboratory of Industrial Control Technology, Institute of Cyber-Systems and Control, Zhejiang University, Yuquan Campus, Hangzhou 310027, PR China b College of Information Science and Technology, Donghua University, Shanghai 200051, PR China |
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Abstract: | This Letter investigates the problem of exponential stability for discrete stochastic time-delay neural networks. By defining a novel Lyapunov functional, an improved delay-dependent exponential stability criterion is established in terms of linear matrix inequality (LMI) approach. Meanwhile, the computational complexity of the newly established stability condition is reduced because less variables are involved. Numerical example is given to illustrate the effectiveness and the benefits of the proposed method. |
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Keywords: | 02 30 Ks 07 05 Mh 87 10 +e |
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