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文章基本信息

  • 标题:New Results on Passivity Criteria for a Class of Neural Networks with Interval and Distributed Time-Varying Delays
  • 本地全文:下载
  • 作者:Sorphorn Noun ; Thongchai Botmart
  • 期刊名称:Lecture Notes in Engineering and Computer Science
  • 印刷版ISSN:2078-0958
  • 电子版ISSN:2078-0966
  • 出版年度:2018
  • 卷号:2233&2234
  • 页码:561-565
  • 出版社:Newswood and International Association of Engineers
  • 摘要:New results on passivity criteria for a class of neural networks with interval and distributed time-varying delays, as well as generalized activation function, is investigated. Based on refined Jensen’s inequalities, improved Lyapunov-Krasovskii functional (LKF) with double integrals, triple integrals, and quadruple integrals, all of them are picked up in terms of linear matrix inequalities (LMIs) which can be checked numerically using the effective LMIs toolbox in MATLAB. Additionally, the effectiveness of approach considered in this paper is illustrated by numerical examples which is less conservative than the previous results.
  • 关键词:passivity analysis; neural networks; linear; matrix inequality; discrete and distributed time-varying delays
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