CMOS implementation of an extended CNN cell to deal with complex dynamics

Author

Giustolisi, Gianluca ; Rizzo, Alessandro

Author_Institution

Dipt. Elettrico, Elettronico e Sistemistico, Universita degli Studi di Catania, Italy

Volume

5

fYear

2003

Abstract

In this work a CMOS implementation of an extended state-controlled CNN cell is presented. The cell introduced enhances the capability of CNNs of generating chaotic and complex dynamics, while keeping the cell structure as simple as possible, towards the aim of realizing a programmable generator of complex dynamics. In particular, highly nonlinear systems, which contain for example multivariable nonlinearities, are generated by exploiting simple PWL blocks. The implementation has been successfully validated through simulations in the Cadence environment with the SPECTRE simulator.

Keywords

CMOS analogue integrated circuits; analogue processing circuits; cellular neural nets; chaos generators; neural chips; piecewise linear techniques; CMOS implementation; Cadence environment; PWL blocks; Rossler system; SPECTRE simulator; cellular neural networks; chaotic dynamics; complex dynamics; extended state-controlled CNN cell; highly nonlinear systems; multivariable nonlinearities; programmable generator; CMOS technology; Cellular neural networks; Chaos; Coupling circuits; Emulation; Nonlinear dynamical systems; Nonlinear systems; Partial differential equations; Polynomials; Power generation;

fLanguage

English

Publisher

ieee

Conference_Titel

Circuits and Systems, 2003. ISCAS '03. Proceedings of the 2003 International Symposium on

Print_ISBN

0-7803-7761-3

Type

conf

DOI

10.1109/ISCAS.2003.1206424

Filename

1206424