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Please use this identifier to cite or link to this item: http://ir.ncue.edu.tw/ir/handle/987654321/13587

Title: A delay-dependent approach to robust stability for uncertain stochastic neural networks with time-varying delay
Authors: Lu, Chien-Yu;Liao, Chin-Wen;Chang, Koan-Yuh;Chang, Wen-Jer
Contributors: 工業教育與技術學系
Keywords: Time-varying delay;Linear matrix inequality;Neural networks;Uncertainty;Robust stability
Date: 2010-02
Issue Date: 2012-08-27T10:22:15Z
Publisher: National Taiwan Ocean University
Abstract: This paper investigates the global delay-dependent robust stability in the mean square for uncertain stochastic neural networks with time-varying delay. The activation functions are assumed to be globally Lipschitz continuous. Based on a linear matrix inequality approach, globally delay-dependent robust stability criterion is derived by introducing some relaxation matrices which, when chosen properly, lead to a less conservative result. Two numerical examples are given to illustrate the effectiveness of the method.
Relation: Journal of Marine Science and Technology, 18(1) : 77-83
Appears in Collections:[工業教育與技術學系] 期刊論文

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