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NCUEIR > College of Technology > Department of Industrial Education and Technology > Proceedings > Item 987654321/13709

Please use this identifier to cite or link to this item: http://ir.ncue.edu.tw/ir/handle/987654321/13709

Title:	A new delay-dependent approach to robust stability for uncertain hybrid bidirectional associative memory neural networks with time-varying delays
Authors:	Lu, Chien-Yu;Su, T. J.;Shyr, W. J.
Contributors:	工業教育與技術學系
Date:	2006-08
Issue Date:	2012-08-27T10:47:14Z
Publisher:	IEEE
Abstract:	This paper considers the problem of global robust stability analysis for a class of bidirectional associative memory time-varying delayed neural networks with norm-bounded time-varying parameter uncertainties. The activation functions are assumed to be globally Lipschitz continuous. Globally delaydependent robust stability criteria are derived in the form of linear matrix inequalities by introducing some relaxation matrices which can be chosen properly to lead to a less conservative result. Numerical examples are given to illustrate the significant improvement on the conservativeness of the delay bound over some reported results in the literature.
Relation:	First International Conference on Innovative Computing, Information and Control, Aug. 30-Sept. 1, 2006: 591-594
Appears in Collections:	[Department of Industrial Education and Technology] Proceedings

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