Ponencia
A 16 Rules@2.5Mflips Mixed-Signal Programmable Fuzzy Controller CMOS-1μm Chip
Autor/es | Vidal Verdú, Fernando
Navas González, Rafael Rodríguez Vázquez, Ángel Benito |
Departamento | Universidad de Sevilla. Departamento de Electrónica y Electromagnetismo |
Fecha de publicación | 1996 |
Fecha de depósito | 2019-11-20 |
Publicado en |
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ISBN/ISSN | 2-86332-197-8 |
Resumen | We present a fuzzy inference chip capable to evaluate 16 programmable rules at a speed of 2.5Mflips (2.5 × 10 6 fuzzy inferences per second) with 8.6mW power consumption. It occupies 2.89mm 2 (including pads) in a CMOS 1μm ... We present a fuzzy inference chip capable to evaluate 16 programmable rules at a speed of 2.5Mflips (2.5 × 10 6 fuzzy inferences per second) with 8.6mW power consumption. It occupies 2.89mm 2 (including pads) in a CMOS 1μm single-poly technology. Measurements are given to demonstrate its performance. All the operations needed for fuzzy inference are realized on-chip using analog circuitry compatible with standard VLSI CMOS technologies. On-chip digital control and memory circuitry is also incorporated for programmability. The chip architecture and circuitry are based on our design methodology for neurofuzzy systems reported in [1]. A few architectural modifications are made to share circuitry among rules and, thus, obtain reduced area and power consumption. The chip parameters can be learned in situ, for operation in a changing environment, by using dedicated hardware-compatible learning algorithms [1][8] |
Cita | Vidal Verdú, F., Navas González, R. y Rodríguez Vázquez, Á.B. (1996). A 16 Rules@2.5Mflips Mixed-Signal Programmable Fuzzy Controller CMOS-1μm Chip. En Proceedings of the 22nd European Solid-State Circuits Conference (156-159), Neuchatel, Suiza: Institute of Electrical and Electronics Engineers. |
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