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NCUEIR > College of Technology > Department of Industrial Education and Technology > Periodical Articles > Item 987654321/13664

Please use this identifier to cite or link to this item: http://ir.ncue.edu.tw/ir/handle/987654321/13664

Title:	A delay-range-dependent approach to design state estimator for discrete-time recurrent neural networks with interval time-varying delay
Authors:	Lu, Chien-Yu
Contributors:	工業教育與技術學系
Date:	2008-11
Issue Date:	2012-08-27T10:41:06Z
Publisher:	IEEE
Abstract:	This paper deals with the problem of state estimation for discrete-time recurrent neural networks with interval timevarying delay. The activation functions are assumed to be globally Lipschitz continuous. A delay-range-dependent condition for the existence of state estimators is proposed. Via available output measurements and solutions to certain linear matrix inequalities, general full-order state estimators are designed that ensure globally asymptotic stability. Two illustrative examples are given to demonstrate the effectiveness and applicability.
Relation:	IEEE Trans. Circuits and Systems II :EXPRESS BRIEFS, 55(11) : 1163-1167
Appears in Collections:	[Department of Industrial Education and Technology] Periodical Articles

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