Hopf-like bifurcation in cellular neural networks

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Abstract

In this study bifurcation phenomena in cellular neural networks are investigated. In a two-cell autonomous system, Hopf-like bifurcation has been found, at which the flow around the origin, an equilibrium point of the system, changes from asymptotically stable to periodic. As the parameter grows further, by reaching another bifurcation value, the generated limit cycle disappears and the network becomes convergent again.

Original languageEnglish
Title of host publicationProceedings - IEEE International Symposium on Circuits and Systems
PublisherPubl by IEEE
Pages2391-2394
Number of pages4
ISBN (Print)0780312813
StatePublished - 1993
EventProceedings of the 1993 IEEE International Symposium on Circuits and Systems - Chicago, IL, USA
Duration: 3 May 19936 May 1993

Publication series

NameProceedings - IEEE International Symposium on Circuits and Systems
Volume4
ISSN (Print)0271-4310

Conference

ConferenceProceedings of the 1993 IEEE International Symposium on Circuits and Systems
CityChicago, IL, USA
Period3/05/936/05/93

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