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机构地区:[1]Nonlinear Scientific Research Center,Jiangsu University
出 处:《Chinese Physics B》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)
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.
关 键 词:Hopfield neural network LMI approach global synchronisation sliding mode control
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