RT Journal Article
T1 Neuro-fuzzy chip to handle complex tasks with analog performance
A1 Navas-González, Rafael Jesús
A1 Rodríguez Vázquez, Angel
A1 Vidal-Verdú, Fernando
K1 Sistemas difusos
K1 Reguladores eléctricos
AB This paper presents a mixed-signal neuro-fuzzy controller chip which, in terms of power consumption, input–output delay, and precision, performs as a fully analog implementation.However, it has much larger complexity than its purely analog counterparts. This combination of performance and complexity is achieved through the use of a mixed-signal architecture consistingof a programmable analog core of reduced complexity, and a strategy, and the associated mixed-signal circuitry, to cover the whole input space through the dynamic programming of this core.Since errors and delays are proportional to the reduced number of fuzzy rules included in the analog core, they are much smaller than in the case where the whole rule set is implemented by analog circuitry. Also, the area and the power consumption of the new architectureare smaller than those of its purely analog counterparts simply because most rules are implemented through programming.The Paper presents a set of building blocks associated to this architecture, and gives results for an exemplary prototype.This prototype, called multiplexing fuzzy controller (MFCON), has been realized in a CMOS 0.7 um standard technology. It hastwo inputs, implements 64 rules, and features 500 ns of input to output delay with 16-mW of power consumption. Results from the chip in a control application with a dc motor are also provided.
PB IEEE Computational Intelligence Society
SN 1045-9227
YR 2003
FD 2003
LK http://hdl.handle.net/10630/4965
UL http://hdl.handle.net/10630/4965
LA eng
NO de Jesus Navas-Gonzalez, R.; Vidal-Verdu, F.; Rodriguez-Vazquez, A.; , "Neuro-fuzzy chip to handle complex tasks with analog performance," Neural Networks, IEEE Transactions on , vol.14, no.5, pp. 1375- 1392, Sept. 2003 doi: 10.1109/TNN.2003.816379 URL: http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=1243734&isnumber=27868
DS RIUMA. Repositorio Institucional de la Universidad de Málaga
RD 20 ene 2026