New Passivity Result for Discrete-Time Stochastic Neural Networks with Time-Varying Delays

【Author】

Zhenjiang Zhao Department of Mathematics, Huzhou Teachers College Huzhou, Zhejiang 313000, China Qiankun Song Department of Mathematics, Chongqing Jiaotong University, Chongqing 400074, China

【Abstract】

In this paper, the problem on passivity is inves- tigated for a class of discrete-time stochastic neural networks with time-varying delays. By constructing a novel LyapunovKrasovskii functional and employing a combination of the freeweighting matrix method and stochastic analysis technique, a delay-dependent passivity criterion in linear matrix inequalities (LMIs) is derived, which is different from the existing passivity results.

【Keywords】

New Passivity Result for Discrete-Time Stochastic Neural Networks with Time-Varying Delays;

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Total: 34 articles

  • [1] P.Balasubramaniam* and G.Nagamani Department of Mathematics,Gandhigram Rural University,Gandhigram 624 302,Tamilnadu,India, Passivity analysis for uncertain stochastic neural networks with discrete interval and distributed time-varying delays, Journal of Systems Engineering and Electronics,
  • [2] Hongyi Li;;Chuan Wang;;Peng Shi;;Huijun Gao, New passivity results for uncertain discrete-time stochastic neural networks with mixed time delays, Neurocomputing,
  • [3] Magdi S. Mahmoud;;Abdulla Ismail, Passivity and passification of time-delay systems, Journal of Mathematical Analysis and Applications,
  • [4] Jinling Liang;;Zidong Wang;;Xiaohui Liu, Robust passivity and passification of stochastic fuzzy time-delay systems, Information Sciences,

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