National Changhua University of Education Institutional Repository : Item 987654321/13593
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题名: Design of delay-dependent state estimator for discrete-time recurrent neural networks with interval discrete and infinite-distributed time-varying delays
作者: Liao, Chin-Wen;Lu, Chien-Yu
贡献者: 工業教育與技術學系
关键词: Delay-dependent condition;State estimator;Interval discrete time-varying delays;Infinite-distributed delays;Linear matrix inequality
日期: 2011-06
上传时间: 2012-08-27T10:22:33Z
出版者: Springer Verlag
摘要: The state estimation problem for discrete-time recurrent neural networks with both interval discrete and infinite-distributed time-varying delays is studied in this paper, where interval discrete time-varying delay is in a given range. The activation functions are assumed to be
globally Lipschitz continuous. A delay-dependent condition for the existence of state estimators is proposed based on new bounding techniques. Via solutions to certain linear matrix inequalities, general full-order state estimators are designed that ensure globally asymptotic stability. The
significant feature is that no inequality is needed for seeking upper bounds for the inner product between two vectors, which can reduce the conservatism of the criterion by employing the new bounding techniques. Two illustrative examples are given to demonstrate the effectiveness
and applicability of the proposed approach.
關聯: Cognitive Neurodynamics, 5(2): 133-143
显示于类别:[工業教育與技術學系] 期刊論文

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