National Changhua University of Education Institutional Repository : Item 987654321/13571
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题名: An LMI Approach to Passivity Analysis for Uncertain Neural Networks with Multiple Time-varying Delays
作者: Lu, Chien-Yu;Liao, Chin-Wen;Tsai, Hsung-Heng
贡献者: 工業教育與技術學系
关键词: Passivity Conditions;Linear Matrix Inequality;Neural Networks;Uncertainty
日期: 2007-08
上传时间: 2012-08-27T10:20:51Z
出版者: Nova Science Publishers, Inc.
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(IJEE), 14(4) : 307-314
显示于类别:[工業教育與技術學系] 期刊論文

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