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
Link To Document