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NCUEIR > College of Technology > Department of Industrial Education and Technology > Periodical Articles > Item 987654321/13679

Please use this identifier to cite or link to this item: http://ir.ncue.edu.tw/ir/handle/987654321/13679

Title:	A delay-dependent approach to robust control for neutral uncertain neural networks with mixed interval time-varying delays
Authors:	Lu, Chien-Yu
Contributors:	工業教育與技術學系
Date:	2011-04
Issue Date:	2012-08-27T10:43:07Z
Publisher:	Institute of Physics Publishing
Abstract:	This paper considers the problem of delay-dependent global robust stabilization for discrete, distributed and neutral interval time-varying delayed neural networks described by nonlinear delay differential equations of the neutral type. The parameter uncertainties are norm bounded. The activation functions are assumed to be bounded and globally Lipschitz continuous. Using a Lyapunov functional approach and linear matrix inequality (LMI) techniques, the stability criteria for the uncertain neutral neural networks with interval time-varying delays are established in the form of LMIs, which can be readily verified using the standard numerical software. An important feature of the result reported is that all the stability conditions are dependent on the upper and lower bounds of the delays. Another feature of the results lies in that it involves fewer free weighting matrix strategy, and upper bounds of the inner product between two vectors are not introduced to reduce the conservatism of the criteria. Two illustrative examples are provided to demonstrate the effectiveness and the reduced conservatism of the proposed method.
Relation:	Nonlinearity, 24(4): 1121-1136
Appears in Collections:	[Department of Industrial Education and Technology] Periodical Articles

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