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Please use this identifier to cite or link to this item: http://ir.ncue.edu.tw/ir/handle/987654321/13661

Title: A Delay-Dependent Approach to Passivity Analysis for Uncertain Neural Networks with Time-varying Delay
Authors: Lu, Chien-Yu;Tsai, Hsun-Heng;Su, Te-Jen;Tsai, Jason Sheng-Hong;Liao, Chin-Wen
Contributors: 工業教育與技術學系
Keywords: Passivity analysis;Linear matrix inequality;Neural networks;Delay dependence
Date: 2008
Issue Date: 2012-08-27T10:40:54Z
Publisher: Springer
Abstract: This paper deals with the problem of passivity analysis for neural networks with time-varying delay, which is subject to norm-bounded time-varying parameter uncertainties. The activation functions are supposed to be bounded and globally Lipschitz continuous. Delay-dependent passivity condition is proposed by using the free-weighting matrix approach. These passivity conditions are obtained in terms of linear matrix inequalities, which can be investigated easily by using standard algorithms. Two illustrative examples are provided to demonstrate the effectiveness of the proposed criteria.
Relation: Neural Process Letters, 27: 237-246
Appears in Collections:[工業教育與技術學系] 期刊論文

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