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請使用永久網址來引用或連結此文件: http://ir.ncue.edu.tw/ir/handle/987654321/13659

題名: An LMI approach to passivity analysis for uncertain neural networks with multiple time-varying delays
作者: Lu, Chien-Yu;Liao, Chin-Wen;Tsai, Hsun-Heng;Tsai, Jason Sheng-Hong;Cheng, Jui-Chuan
貢獻者: 工業教育與技術學系
關鍵詞: Passivity conditions;Linear matrix inequality;Neural networks;Uncertainty
日期: 2007-03
上傳時間: 2012-08-27T10:40:32Z
摘要: This paper deals with the problem of Passivity analysis for neural networks with multiple time-varying delays subject to norm-bounded time-varying parameter uncertainties. The activation functions are supposed to be bounded and globally Lipschitz continuous. New passivity conditions are proposed by using Lyapunov-Krasovskii functionals and the free–weighting matrix method to relax the existing requirement of derivative
of time delays of the system. Passivity conditions are obtained in terms of linear matrix inequalities, which can be investigated easily by using recently developed standard algorithms. Two illustrative examples are provided to demonstrate the effectiveness.
關聯: International Journal of Electrical Engineering, 14: 307-314
顯示於類別:[工業教育與技術學系] 期刊論文

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