DocumentCode :
1580789
Title :
A harmonic balance approach for the qualitative analysis of limit cycles occurring in CNNs
Author :
Gilli, Marco
Author_Institution :
Dipartimento di Elettronica, Politecnico di Torino, Italy
fYear :
1996
Firstpage :
133
Lastpage :
138
Abstract :
The characteristics of limit cycles in CNNs composed by a finite number of cells are investigated through a suitable harmonic balance technique. It is proved that for a CNN described by the template [α-1, α0, α1] such a technique leads to a set of no more than 6 nonlinear equations, regardless of the number of cells. The method allows us to predict all the main features of spatio-temporal periodic oscillations and yields results that are in good agreement with those observed by the time-simulation of the network
Keywords :
cellular neural nets; harmonic analysis; limit cycles; nonlinear equations; oscillations; CNNs; harmonic balance approach; limit cycles; nonlinear equations; qualitative analysis; spatio-temporal periodic oscillations; time-simulation; Boundary conditions; Cellular neural networks; Differential equations; Harmonic analysis; Intelligent networks; Limit-cycles; Nonlinear equations; Pattern analysis; Pattern formation; Stability;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Cellular Neural Networks and their Applications, 1996. CNNA-96. Proceedings., 1996 Fourth IEEE International Workshop on
Conference_Location :
Seville
Print_ISBN :
0-7803-3261-X
Type :
conf
DOI :
10.1109/CNNA.1996.566508
Filename :
566508
Link To Document :
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