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題名: A delay-range-dependent approach to global robust stability for discrete-time uncertain 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: 2007
上傳時間: 2012-08-27T10:40:18Z
摘要: The current paper performs a global robust stability analysis for a class of discrete-time recurrent neural networks (DRNNs) with norm-bounded time-varying parameter uncertainties and interval time-varying delay. The activation functions are assumed to be globally Lipschitz continuous. An appropriate type of Lyapunov functional is proposed to establish the sufficient conditions for the DRNNs. The criteria are formulated by means of the feasibility of linear matrix inequalities (LMIs), which can be easily checked in practice. Two numerical examples are given to illustrate the effectiveness and applicability.
關聯: Proceedings of the I MECH E Part I: J. Systems and Control Engineering, 221: 1123-1132
顯示於類別:[工業教育與技術學系] 期刊論文

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