• DocumentCode
    3622753
  • Title

    A Note on the Fractional-Order Cellular Neural Networks

  • Author

    I. Petras

  • Author_Institution
    Department of Applied Informatics and Process Control, Institute of Production Process Control, Faculty of B.E.R.G., Technical University, B. Ně
  • fYear
    2006
  • fDate
    6/28/1905 12:00:00 AM
  • Firstpage
    1021
  • Lastpage
    1024
  • Abstract
    This paper deals on fractional-order cellular neural networks (CNNs). It is based on the well-known concept of the CNNs, where mathematical model of the CNN consists a fractional order derivative. Traditional first order cell is replaced by fractional order (non-integer) one. We present the method to derive such kind of the fractional order cell. An illustrative example has been used to demonstrate and investigate the existence of the fractional order CNN. We present the fractional three-cell CNN where the total order of system is less than three, namely 2.7, and the corresponding state space trajectories are shown as well.
  • Keywords
    "Cellular neural networks","Differential equations","Chaos","Approximation methods","Mathematical model","Voltage","Nonlinear dynamical systems","Process control","State-space methods","Fractional calculus"
  • Publisher
    ieee
  • Conference_Titel
    Neural Networks, 2006. IJCNN ´06. International Joint Conference on
  • ISSN
    2161-4393
  • Print_ISBN
    0-7803-9490-9
  • Electronic_ISBN
    2161-4407
  • Type

    conf

  • DOI
    10.1109/IJCNN.2006.246798
  • Filename
    1716209