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Please use this identifier to cite or link to this item: http://ir.ncue.edu.tw/ir/handle/987654321/13653

Title: Stability of Cellular Neural Networks with Time-varying Delay
Authors: Yu, Gwo-Jeng;Lu, Chien-Yu;Tsai, Jason Sheng-Hong;Su, Te-Jen;Liu, Bin-Da
Contributors: 工業教育與技術學系
Date: 2003-05
Issue Date: 2012-08-27T10:39:51Z
Publisher: IEEE
Abstract: The stability for cellular neural networks (CNNs) with timevarying delay is introduced by linear-matrix inequality. A sufficient condition related to the global asymptotic stability for delay CNNs is proposed. It is shown that the condition relies on the dependence of the delay. This condition is less restrictive than that given in the literature.
Relation: IEEE Trans. on Circuits and Systems-I, 50(5): 677-679
Appears in Collections:[Department of Industrial Education and Technology] Periodical Articles

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