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http://ir.ncue.edu.tw/ir/handle/987654321/13680
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| 題名: | 離散時延不確定性蜂巢式神經網路的觀測器設計
Design of Observer for A Class of Discrete-Time Uncertain Cellular Neural Networks With Time Delay |
| 作者: | 盧建余 |
| 貢獻者: | 工業教育與技術學系 |
| 關鍵詞: | 觀測器;蜂巢式神經網路;不確定性;線性矩陣不等式
Observer;Cellular neural networks;Uncertainty;Linear matrix inequality |
| 日期: | 2005-11
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| 上傳時間: | 2012-08-27T10:44:01Z
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| 出版者: | 行政院國家科學委員會 |
| 摘要: | 本計劃以離散時延不確定性蜂巢式神經網路來設計其觀測器。互連矩陣與激勵函數被假設為滿足整體Lipschitz之條件。參數不確定性被假設為時變有界且位於系統模式矩陣中。我們對本計劃重心為設計一觀測器同時對所有可允許的不確定性都能滿足估測狀態的整體強健漸近穩定。因此我們可將提出此存在的觀測器充份條件轉成線性矩陣不等式法來表示。當我們提出的線性矩陣不等式有解時，所設計的觀測器的正確數學表示式同時也可求得。到目前為止，已發表文獻中還未有考慮強健離散時延蜂巢式神經網路的觀測器設計問題，因此，這領域的探討充滿挑戰。最後本計劃將舉例驗證所提之理論的可應用性。
This project is concerned with the problem of observer design for a class of discrete-time uncertain cellular neural networks with time delay. The interconnection matrix and the activation functions are assumed to satisfy the global Lipschitz conditions. The parameter uncertainties are assumed to b time-varying norm-bounded, and appear in all the matrices of the system model. Attention is focused on the design of an observer which ensures global robust stability of the neuron states of estimation for all admissible uncertainties. A sufficient condition for the existence of such an
observer is given in terms of a linear matrix inequality (LMI). When this LMI is feasible, the explicit expression of a desired observer is also presented. Up to date,however, no results on design of observer for a class of robust discrete-time cellular neural networks with time delay is available in the literature, this problem is still open and remains challenging. A numerical example is provided to illustrate the applicability of the proposed design approach. |
| 關聯: | 國科會計畫;計畫編號:NSC94-2218-E018-004; 研究期間:94/11-95/07 |
| 顯示於類別: | [工業教育與技術學系] 國科會計畫
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