• DocumentCode
    737798
  • Title

    Passivity and Synchronization of Linearly Coupled Reaction-Diffusion Neural Networks With Adaptive Coupling

  • Author

    Jin-Liang Wang ; Huai-Ning Wu ; Tingwen Huang ; Shun-Yan Ren

  • Author_Institution
    Sch. of Comput. Sci. & Software Eng., Tianjin Polytech. Univ., Tianjin, China
  • Volume
    45
  • Issue
    9
  • fYear
    2015
  • Firstpage
    1942
  • Lastpage
    1952
  • Abstract
    In this paper, we study a general array model of coupled reaction-diffusion neural networks (NNs) with adaptive coupling. In order to ensure the passivity of the coupled reaction-diffusion neural networks, some adaptive strategies to tune the coupling strengths among network nodes are designed. By utilizing some inequality techniques and the designed adaptive laws, several sufficient conditions ensuring passivity are obtained. In addition, we reveal the relationship between passivity and synchronization of the coupled reaction-diffusion NNs. Based on the obtained passivity results and the relationship between passivity and synchronization, a global synchronization criterion is established. Finally, numerical simulations are presented to illustrate the correctness and effectiveness of the proposed results.
  • Keywords
    neural nets; numerical analysis; reaction-diffusion systems; synchronisation; NN; adaptive coupling; adaptive laws; coupling strengths; general array model; global synchronization criterion; inequality techniques; linearly coupled reaction-diffusion neural networks; network nodes; numerical simulations; passivity; Artificial neural networks; Couplings; Equations; Neurons; Symmetric matrices; Synchronization; Adaptive coupling; coupled reaction-diffusion neural networks; passivity; synchronization;
  • fLanguage
    English
  • Journal_Title
    Cybernetics, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    2168-2267
  • Type

    jour

  • DOI
    10.1109/TCYB.2014.2362655
  • Filename
    6932471