The architecture of a general purpose fuzzy logic coprocessor and its implementation on an FPGA based System on Chip is described. Thanks to its ability to support a fast dynamic reconfiguration of all its parameters, it is suitable for implementing adaptive fuzzy logic algorithms, or for the execution of different fuzzy algorithms in a time sharing fashion. The high throughput obtained using a pipelined structure and the efficient data organization allows significant increase of the computational capabilities strongly desired in applications with hard real-time constraints.

DI STEFANO, A., GIACONIA, G.C. (2005). An FPGA-Based Adaptive Fuzzy Coprocessor. In J. CABESTANY, A. PRIETO, F. SANDOVAL (a cura di), Computational Intelligence and Bioinspired Systems 8th International Workshop on Artificial Neural Networks, IWANN 2005 Vilanova i la Geltru; Spain; 8 June 2005 through 10 June 2005 Proceedings (pp. 590-597). NEW YORK : Springer-Verlag Berlin Heidelberg.

An FPGA-Based Adaptive Fuzzy Coprocessor

DI STEFANO, Antonio;GIACONIA, Giuseppe Costantino
2005-01-01

Abstract

The architecture of a general purpose fuzzy logic coprocessor and its implementation on an FPGA based System on Chip is described. Thanks to its ability to support a fast dynamic reconfiguration of all its parameters, it is suitable for implementing adaptive fuzzy logic algorithms, or for the execution of different fuzzy algorithms in a time sharing fashion. The high throughput obtained using a pipelined structure and the efficient data organization allows significant increase of the computational capabilities strongly desired in applications with hard real-time constraints.
2005
DI STEFANO, A., GIACONIA, G.C. (2005). An FPGA-Based Adaptive Fuzzy Coprocessor. In J. CABESTANY, A. PRIETO, F. SANDOVAL (a cura di), Computational Intelligence and Bioinspired Systems 8th International Workshop on Artificial Neural Networks, IWANN 2005 Vilanova i la Geltru; Spain; 8 June 2005 through 10 June 2005 Proceedings (pp. 590-597). NEW YORK : Springer-Verlag Berlin Heidelberg.
File in questo prodotto:
File Dimensione Formato  
An FPGA-Based Adaptive Fuzzy Coprocessor.pdf

Solo gestori archvio

Tipologia: Versione Editoriale
Dimensione 351.89 kB
Formato Adobe PDF
351.89 kB Adobe PDF   Visualizza/Apri   Richiedi una copia

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/10447/22973
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus 9
  • ???jsp.display-item.citation.isi??? 6
social impact