Archivio Istituzionale della RicercaThis paper describes CINTIA, a neuro-fuzzy real-time controller based on pulse stream computation techniques and designed for applications in low power embedded systems. The proposed system mixes two different approaches, namely neuro-fuzzy controllers and finite state automata. The former are implemented by means of a custom neural chip (manufactured by ES2), while the latter are implemented as sequential code on a traditional microcontroller. The proposed system is used to demonstrate the advantages of mixing the two approaches and the feasibility of embedded neuro-fuzzy control systems. A low power single chip version is also under design
CINTIA: A Neuro-Fuzzy Real Time Controller for Low Power Embedded Systems / Reyneri, Leonardo; Chiaberge, Marcello; L., Zocca. - In: IEEE MICRO. - ISSN 0272-1732. - 15:(1995), pp. 40-47. [10.1109/40.387682]
CINTIA: A Neuro-Fuzzy Real Time Controller for Low Power Embedded Systems
REYNERI, Leonardo;CHIABERGE, MARCELLO;
1995
Abstract
This paper describes CINTIA, a neuro-fuzzy real-time controller based on pulse stream computation techniques and designed for applications in low power embedded systems. The proposed system mixes two different approaches, namely neuro-fuzzy controllers and finite state automata. The former are implemented by means of a custom neural chip (manufactured by ES2), while the latter are implemented as sequential code on a traditional microcontroller. The proposed system is used to demonstrate the advantages of mixing the two approaches and the feasibility of embedded neuro-fuzzy control systems. A low power single chip version is also under design
Pubblicazioni consigliate
I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
https://hdl.handle.net/11583/1676224
Attenzione
Attenzione! I dati visualizzati non sono stati sottoposti a validazione da parte dell'ateneo