SC-CNN based systems to realize a class of autonomous and coupled chaotic circuits

Author

Arena, P. ; Baglio, S. ; Fortuna, L. ; Manganaro, G.

Author_Institution

Dipt. Elettrico, Elettronico e Sistemistico, Catania Univ., Italy

Volume

1

fYear

1997

fDate

9-12 Jun 1997

Firstpage

581

Abstract

In this paper, after briefly introducing the definition of State Controlled Cellular Neural Networks (SC-CNNs), it is shown that such structures are able to generate complex dynamics of circuits showing strange behaviour. In particular to realize a class of autonomous and coupled nonlinear chaotic circuits by using SC-CNN based systems is presented. In this way it is further confirmed that the approach based on cellular neural networks allows one to generate, in a unified manner, highly complex dynamics. Experimental results confirm the suitability of the strategy, which exactly matches the dynamic behaviour of the circuits considered

Keywords

cellular neural nets; chaos; coupled circuits; nonlinear network analysis; oscillators; autonomous chaotic circuits; cellular neural networks; coupled chaotic circuits; dynamic behaviour; high complex dynamics; nonlinear chaotic circuits; state controlled CNN based systems; strange behaviour; Cellular neural networks; Chaos; Circuit theory; Circuits and systems; Coupling circuits; Ear; Electronic mail; Equations; Oscillators; State feedback;

fLanguage

English

Publisher

ieee

Conference_Titel

Circuits and Systems, 1997. ISCAS '97., Proceedings of 1997 IEEE International Symposium on

Print_ISBN

0-7803-3583-X

Type

conf

DOI

10.1109/ISCAS.1997.608823

Filename

608823