Chaotic behavior in noninteger-order cellular neural networks

P. Arena, L. Fortuna, and D. Porto
Phys. Rev. E 61, 776 – Published 1 January 2000
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Abstract

In this paper, a simple system showing chaotic behavior is introduced. It is based on the well-known concept of cellular neural networks (CNNs), which have already given good results in generating complex dynamics. The peculiarity of the CNN model consists in the fact that it replaces the traditional first-order cell with a noninteger-order one. The introduction of the fractional cell, with a suitable choice of the coupling parameters, leads to the onset of chaos in a simple two-cell system. A theoretical approach, based on the harmonic balance theory, has been used to investigate the existence of chaos. A circuit realization of the proposed fractional two-cell chaotic CNN is reported and the corresponding strange attractor is also shown.

  • Received 2 September 1998

DOI:https://doi.org/10.1103/PhysRevE.61.776

©2000 American Physical Society

Authors & Affiliations

P. Arena, L. Fortuna, and D. Porto*

  • Dipartimento Elettrico Elettronico e Sistemistico, Universitá degli Studi di Catania, viale A. Doria 6, 95125 Catania, Italy

  • *Electronic address: mporto@dees.unict.it

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Vol. 61, Iss. 1 — January 2000

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