Title :
Cellular neural networks with second-order cells and their pattern forming properties
Author_Institution :
Tech. Univ. "Gh.Asachi", Iasi, Romania
Abstract :
In this paper a new CNN model with second-order cells is proposed. The system dynamic behaviour is analyzed using the state equations. Its eigenvalues are studied in the space frequency domain and we show how the template and circuit parameters can be varied to obtain dispersion curves with a desired shape, which allows one to precisely select the unstable modes, with useful applications in pattern formation.
Keywords :
cellular neural nets; eigenvalues and eigenfunctions; equivalent circuits; network parameters; pattern formation; stability; CNN model; cellular neural networks; circuit parameters; dispersion curves; eigenvalues; pattern formation; second-order cells; space frequency domain; state equations; system dynamic behaviour analysis; template; unstable modes; Biological system modeling; Capacitors; Cellular neural networks; Circuits; Equations; Frequency domain analysis; Output feedback; Resistors; Shape; Voltage;
Conference_Titel :
Circuits and Systems, 2003. ISCAS '03. Proceedings of the 2003 International Symposium on
Print_ISBN :
0-7803-7761-3
DOI :
10.1109/ISCAS.2003.1206427
