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.
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