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Please use this identifier to cite or link to this item: http://ir.ncue.edu.tw/ir/handle/987654321/12976

Title: Delay-dependent H∞ control for discrete-time uncertain recurrent neural networks with intrerval time-varying delay
Authors: Lu, C.-Y.;Shyr, W.-J.;Yao, Kai-chao;Liao, C.-W.;Huang, C.-K.
Contributors: 工業教育與技術學系
Keywords: Control;Discrete-time recurrent neural network;Interval time-varying delay linear matrix inequality;Robust H ∞;Stability
Date: 2009-10
Issue Date: 2012-08-07T01:13:22Z
Publisher: Kyushu Tokai University
Abstract: This paper deals with the problem of delay-dependent robust H ∞ control for discrete-time recurrent neural networks (DRNNs) with norm-bounded parameter uncertainties and interval time-varying delay. The activation functions are assumed to be globally Lipschitz continuous. For the robust stabilization problem, a state feedback controller is designed to ensure global robust stability of the closed-loop system about its equilibrium point for all admissible uncertainties, while for the robust H∞ control problem, attention is focused on the design of a state feedback controller such that in addition to the requirement of the global robust stability, a prescribed H∞ performance level for all delays to satisfy both the lower bound and upper bound of the interval time-varying delay is also required to be achieved. A linear matrix inequality approach is developed to solve these problems. It is shown that the desired state feedback controller can be constructed by solving certain LMIs. A numerical example is provided to demonstrate the effectiveness and applicability of the proposed results. ICIC International
Relation: International Journal of Innovative Computing, Information and Control, 5(10): 3483-3493
Appears in Collections:[工業教育與技術學系] 期刊論文

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