Title :
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
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;
Conference_Titel :
Circuits and Systems, 2003. ISCAS '03. Proceedings of the 2003 International Symposium on
Print_ISBN :
0-7803-7761-3
DOI :
10.1109/ISCAS.2003.1206424