Improved delay-dependent stability analysis for neural networks with time-varying delays |
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Authors: | Xiangjun Xie Zerong Ren |
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Affiliation: | School of Sciences, Southwest Petroleum University, Chengdu, Sichuan 610500, China |
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Abstract: | In this paper, the problem of delay-dependent asymptotic stability analysis for neural networks with time-varying delays is considered. A new class of Lyapunov functional is proposed by considering the information of neuron activation functions adequately. By using the delay-partitioning method and the reciprocally convex technique, some less conservative stability criteria are obtained in terms of linear matrix inequalities (LMIs). Finally, two numerical examples are given to illustrate the effectiveness of the derived method. |
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Keywords: | Delay-dependent stability Neural networks Time-varying delays Linear matrix inequality (LMI) |
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