• DocumentCode
    1378876
  • Title

    A more rigorous proof of complete stability of cellular neural networks

  • Author

    Wu, Chai Wah ; Chua, Leon O.

  • Author_Institution
    Electron. Res. Lab., California Univ., Berkeley, CA, USA
  • Volume
    44
  • Issue
    4
  • fYear
    1997
  • fDate
    4/1/1997 12:00:00 AM
  • Firstpage
    370
  • Lastpage
    371
  • Abstract
    The proof for the stability of cellular neural networks (CNNs) with symmetric feedback templates contains some gaps. The purpose of this letter is to discuss and provide a more rigorous proof using LaSalle´s invariant principle
  • Keywords
    cellular neural nets; feedback; stability; LaSalle´s invariant principle; cellular neural networks; complete stability; symmetric feedback templates; Cellular neural networks; Circuits; Lyapunov method; Neurofeedback; Nonlinear equations; Piecewise linear techniques; Stability; Symmetric matrices;
  • fLanguage
    English
  • Journal_Title
    Circuits and Systems I: Fundamental Theory and Applications, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1057-7122
  • Type

    jour

  • DOI
    10.1109/81.563629
  • Filename
    563629
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=1378876