A delay-dependent approach to passivity analysis for uncertain neural networks with time-varying Delayd

Chien-Yu Lu, Hsun Heng Tsai, Te Jen Su, Jason Sheng Hong Tsai, Chin-Wen Liao

研究成果: Article

47 引文 (Scopus)

摘要

This paper deals with the problem of passivity analysis for neural networks with time-varying delay, which is subject to norm-bounded time-varying parameter uncertainties. The activation functions are supposed to be bounded and globally Lipschitz continuous. Delay-dependent passivity condition is proposed by using the free-weighting matrix approach. These passivity conditions are obtained in terms of linear matrix inequalities, which can be investigated easily by using standard algorithms. Two illustrative examples are provided to demonstrate the effectiveness of the proposed criteria.

原文English
頁(從 - 到)237-246
頁數10
期刊Neural Processing Letters
27
發行號3
DOIs
出版狀態Published - 2008 六月 1

指紋

Linear matrix inequalities
Chemical activation
Neural networks
Uncertainty

All Science Journal Classification (ASJC) codes

  • Software
  • Neuroscience(all)
  • Computer Networks and Communications
  • Artificial Intelligence

引用此文

Lu, Chien-Yu ; Tsai, Hsun Heng ; Su, Te Jen ; Tsai, Jason Sheng Hong ; Liao, Chin-Wen. / A delay-dependent approach to passivity analysis for uncertain neural networks with time-varying Delayd. 於: Neural Processing Letters. 2008 ; 卷 27, 編號 3. 頁 237-246.
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A delay-dependent approach to passivity analysis for uncertain neural networks with time-varying Delayd. / Lu, Chien-Yu; Tsai, Hsun Heng; Su, Te Jen; Tsai, Jason Sheng Hong; Liao, Chin-Wen.

於: Neural Processing Letters, 卷 27, 編號 3, 01.06.2008, p. 237-246.

研究成果: Article

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