In this paper it is shown that, with slight modifications, State Controlled CNNs (SC-CNNs) are able to approximate the behaviour of a class of complex dynamics with multivariable nonlinearities. In particular, in the so-called Extended SC-CNN defined in this work, the output nonlinearity shape has been modified, and a new template acting on the output function of the cell has been introduced. The needed circuitry to extend SC-CNNs, together with SPICE simulations of the new system, are here reported in order to confirm the suitability of the approach.
Extending the CNN Paradigm to Approximate Chaotic Systems with Multivariable Nonlinearities / Arena, P.; Fortuna, L.; Rizzo, A.; Xibilia, M. G.. - STAMPA. - (2000), pp. 141-144. (Intervento presentato al convegno IEEE International Symposium on Circuits and Systems, ISCAS 2000 tenutosi a Geneva, Switzerland nel May 28-31, 2000) [10.1109/ISCAS.2000.857383].
Extending the CNN Paradigm to Approximate Chaotic Systems with Multivariable Nonlinearities
A. Rizzo;
2000-01-01
Abstract
In this paper it is shown that, with slight modifications, State Controlled CNNs (SC-CNNs) are able to approximate the behaviour of a class of complex dynamics with multivariable nonlinearities. In particular, in the so-called Extended SC-CNN defined in this work, the output nonlinearity shape has been modified, and a new template acting on the output function of the cell has been introduced. The needed circuitry to extend SC-CNNs, together with SPICE simulations of the new system, are here reported in order to confirm the suitability of the approach.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
