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Please use this identifier to cite or link to this item: http://ir.ncue.edu.tw/ir/handle/987654321/13613

Title: Delay-Range-Dependent Global Robust Passivity Analysis of Discrete- Time Uncertain Recurrent Neural Networks with Interval Time-Varying Delay
Authors: Lu, Chien-Yu;Zheng, Kai-Yuan;Liao, Chin-Wen;Tsai, Hsun-Heng
Contributors: 工業教育與技術學系
Date: 2007-11
Issue Date: 2012-08-27T10:35:25Z
Abstract: This paper examines a passivity analysis for a class of discrete-time recurrent neural networks DRNNs with norm-bounded time-varying parameter uncertainties and interval time-varying delay. The activation functions are assumed to be globally Lipschitz continuous. Based on an
appropriate type of Lyapunov functional, sufficient passivity conditions for the DRNNs are derived in terms of a family of linear matrix inequalities LMIs . Two numerical examples are given to illustrate the effectiveness and applicability.
Relation: 2007 CACS International Automatic Control Conference. National Chung Hsing University Taichung, Taiwan, Nov. 9-11, 2007
Appears in Collections:[工業教育與技術學系] 會議論文

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