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題名: Delay-dependent stability analysis for recurrent neural networks with time-varying delay
作者: Lu, Chien-Yu;Su, T. J.;Huang, S. C.
貢獻者: 工業教育與技術學系
日期: 2008
上傳時間: 2012-08-27T10:40:57Z
出版者: IET
摘要: A global stability analysis of a particular class of recurrent neural networks with time-varying delay is performed. Both Lipschitz continuous and monotone non-decreasing activation functions are considered. Globally asymptotically delay-dependent stability criteria are derived in the form of linear matrix inequalities through the use of Leibniz–Newton formula and relaxation matrices. Finally, two numerical examples are given to illustrate the effectiveness of the given criterion.
關聯: IET Control Theory and Applications, 2(8): 736-742
顯示於類別:[工業教育與技術學系] 期刊論文

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