Title :
A Note on the Fractional-Order Cellular Neural Networks
Author_Institution :
Department of Applied Informatics and Process Control, Institute of Production Process Control, Faculty of B.E.R.G., Technical University, B. Ně
fDate :
6/28/1905 12:00:00 AM
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"
Conference_Titel :
Neural Networks, 2006. IJCNN ´06. International Joint Conference on
Print_ISBN :
0-7803-9490-9
Electronic_ISBN :
2161-4407
DOI :
10.1109/IJCNN.2006.246798