• DocumentCode
    876662
  • Title

    A generalized LMI-based approach to the global asymptotic stability of delayed cellular neural networks

  • Author

    Singh, Vimal

  • Author_Institution
    Dept. of Electr.- Electron. Eng., Atilim Univ., Ankara, Turkey
  • Volume
    15
  • Issue
    1
  • fYear
    2004
  • Firstpage
    223
  • Lastpage
    225
  • Abstract
    A novel linear matrix inequality (LMI)-based criterion for the global asymptotic stability and uniqueness of the equilibrium point of a class of delayed cellular neural networks (CNNs) is presented. The criterion turns out to be a generalization and improvement over some previous criteria.
  • Keywords
    asymptotic stability; cellular neural nets; linear matrix inequalities; DCNNs; delayed cellular neural networks; equilibrium point; generalized LMI-based approach; global asymptotic stability; linear matrix inequality; Asymptotic stability; Cellular neural networks; Delay; Equations; Linear matrix inequalities; Object detection; Output feedback; Stability analysis; State feedback; Symmetric matrices; Linear Models; Neural Networks (Computer);
  • fLanguage
    English
  • Journal_Title
    Neural Networks, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1045-9227
  • Type

    jour

  • DOI
    10.1109/TNN.2003.820616
  • Filename
    1263595
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=876662