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題名: A delay-range-dependent approach to design state estimator for discrete-time recurrent neural networks with interval time-varying delay
作者: Lu, Chien-Yu
貢獻者: 工業教育與技術學系
日期: 2008-11
上傳時間: 2012-08-27T10:41:06Z
出版者: IEEE
摘要: 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.
關聯: IEEE Trans. Circuits and Systems II :EXPRESS BRIEFS, 55(11) : 1163-1167
顯示於類別:[工業教育與技術學系] 期刊論文

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