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同行評審

46 引文 斯高帕斯(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

All Science Journal Classification (ASJC) codes

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

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