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An linear matrix inequality approach to global synchronisation of non-parameter perturbations of multi-delay Hopfield neural network

An linear matrix inequality approach to global synchronisation of non-parameter perturbations of multi-delay Hopfield neural network
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摘要 In this study, a successful linear matrix inequality approach is used to analyse a non-parameter perturbation of multi-delay Hopfield neural network by constructing an appropriate Lyapunov-Krasovskii functional. This paper presents the comprehensive discussion of the approach and also extensive applications. In this study, a successful linear matrix inequality approach is used to analyse a non-parameter perturbation of multi-delay Hopfield neural network by constructing an appropriate Lyapunov-Krasovskii functional. This paper presents the comprehensive discussion of the approach and also extensive applications.
出处 《Chinese Physics B》 SCIE EI CAS CSCD 2010年第11期212-217,共6页 中国物理B(英文版)
基金 Project supported by the National Natural Science Foundations of China (Grant Nos. 70571030 and 90610031) the Society Science Foundation from Ministry of Education of China (Grant No. 08JA790057) the Advanced Talents’ Foundation and Student’s Foundation of Jiangsu University (Grant Nos. 07JDG054 and 07A075)
关键词 Hopfield neural network LMI approach global synchronisation sliding mode control Hopfield neural network, LMI approach, global synchronisation, sliding mode control
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参考文献18

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