• DocumentCode
    1082760
  • Title

    How state controlled CNN cells generate the dynamics of the Colpitts-like oscillator

  • Author

    Arena, Paolo ; Baglio, Salvatore ; Fortuna, Luigi ; Manganaro, Gabriele

  • Author_Institution
    Dipartimento Elettrico, Elettronica e Sistemistico, Catania Univ., Italy
  • Volume
    43
  • Issue
    7
  • fYear
    1996
  • fDate
    7/1/1996 12:00:00 AM
  • Firstpage
    602
  • Lastpage
    605
  • Abstract
    The authors prove that the dynamics of the Colpitts-like oscillator can be generated by connecting three state controlled CNN cells. They further remark that the complex behavior of the Colpitts system can be obtained by using a CNN based circuit. The circuit implementation of the proposed cell-based system is presented. Both simulated and experimental results are reported
  • Keywords
    cellular neural nets; chaos; nonlinear network analysis; oscillators; piecewise-linear techniques; Colpitts-like oscillator; cellular neural network; nonlinear dynamic generation; oscillator dynamics generation; piecewise-linear circuit state model; state controlled CNN cell; Analytical models; Cellular neural networks; Chaos; Circuit analysis; Circuit simulation; Control systems; Joining processes; Nonlinear circuits; Nonlinear control systems; Oscillators;
  • fLanguage
    English
  • Journal_Title
    Circuits and Systems I: Fundamental Theory and Applications, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1057-7122
  • Type

    jour

  • DOI
    10.1109/81.508183
  • Filename
    508183