National Changhua University of Education Institutional Repository : Item 987654321/13610
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题名: Passivity Analysis for Uncertain Time-Varying Delayed eural Networks with Neutral Type
作者: Liao, Chin-Wen;Lu, Chien-Yu
贡献者: 工業教育與技術學系
日期: 2007-09
上传时间: 2012-08-27T10:35:12Z
出版者: IEEE Computer Society Washington
摘要: This paper considers the problem of robust delay- dependent Passivity analysis for time-varying delayed neural networks described by nonlinear delay differential equations of the neutral type, which is subject to norm-bounded time-varying parameter uncertainties. The activation functions are supposed to be bounded and globally Lipschitz continuous. Both delay-dependent and delay-independent passivity conditions are proposed by using more general Lyapunov-Krasovskii functionals. These passivity conditions are obtained in terms of linear matrix inequalities, which can be investigated easily by recently using standard algorithms. An illustrative example is provided to demonstrate the effectiveness and the reduced conservatism of the proposed method. Index Term passivity, linear matrix inequality, neural networks, uncertainty, delay dependence.
關聯: 2007 International Conference on Innovative on Computing, Information and Control, Kumamoto, Japan, Sep. 3-5, 2007
显示于类别:[工業教育與技術學系] 會議論文

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