• DocumentCode
    3576051
  • Title

    Delay-dependent passivity analysis for Markov jump neural networks with time-varying delays

  • Author

    Jing Wang ; Hao Shen

  • Author_Institution
    Sch. of Electr. & Inf. Eng., Anhui Univ. of Technol., Ma´anshan, China
  • fYear
    2014
  • Firstpage
    1530
  • Lastpage
    1533
  • Abstract
    This paper addresses the passivity analysis problem for Markov jump neural networks with time-varying delays. The aim is focus on establishing the passivity condition of the considered neural networks. To reduce the conservatism of the proposed passivity condition, based on an extended Wirtinger inequality, a reciprocally convex approach is used. A numerical example is presented to show effectiveness of our proposed condition.
  • Keywords
    Markov processes; convex programming; delays; neurocontrollers; time-varying systems; Markov jump neural networks; delay-dependent passivity analysis; extended Wirtinger inequality; reciprocally convex approach; time-varying delays; Biological neural networks; Delays; Linear matrix inequalities; Markov processes; Neurons; Symmetric matrices;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Mechatronics and Control (ICMC), 2014 International Conference on
  • Print_ISBN
    978-1-4799-2537-7
  • Type

    conf

  • DOI
    10.1109/ICMC.2014.7231815
  • Filename
    7231815