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 :
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