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dc.contributor.authorNavas-González, Rafael Jesús 
dc.contributor.authorRodríguez Vázquez, Angel
dc.contributor.authorVidal-Verdú, Fernando 
dc.date.accessioned2012-03-21T11:18:34Z
dc.date.available2012-03-21T11:18:34Z
dc.date.issued2003
dc.identifier.citationde 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=27868es_ES
dc.identifier.issn1045-9227
dc.identifier.urihttp://hdl.handle.net/10630/4965
dc.description.abstractThis 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 consisting of 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 architecture are 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 has two 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.es_ES
dc.language.isoenges_ES
dc.publisherIEEE Computational Intelligence Societyes_ES
dc.relation.ispartofseriesIEEE Transactions on Neural Networks;2003 14(5)
dc.rightsinfo:eu-repo/semantics/openAccess
dc.subjectSistemas difusoses_ES
dc.subjectReguladores eléctricoses_ES
dc.subject.otherFuzzy-controles_ES
dc.subject.otherFuzzy-hardwarees_ES
dc.subject.othermixed-signal integrated circuitses_ES
dc.titleNeuro-fuzzy chip to handle complex tasks with analog performancees_ES
dc.typeinfo:eu-repo/semantics/articlees_ES


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