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Learning under hardware restrictions in CMOS fuzzy controllers able to extract rules from examples.

Fernando Vidal VerdúRafael Navas-GonzálezAngel Rodríguez-Vázquez — 1996

Mathware and Soft Computing

Fuzzy controllers are able to incorporate knowledge expressed in if-then rules. These rules are given by experts or skilful operators. Problems arise when there are no experts or/and rules are not easy to find. Author's proposal consists on an analog fuzzy controller which accepts structured language as well as input/output data pairs, thus rules can be extracted or tuned from human or software controller operation. Learning from data pairs has to be carried out under hardware restrictions in linearity,...

A mixed-signal architecture for high complexity CMOS fuzzy controlers.

Rafael Navas-GonzálezFernando Vidal-VerdúAngel Rodríguez-Vázquez — 1999

Mathware and Soft Computing

Analog circuits provide better area/power efficiency than their digital counterparts for low-medium precision requirements [1]. This limit in precision, as well as the lack of design tools when compared to the digital approach, imposes a limit of complexity, hence fuzzy analog controllers are usually oriented to fast low-power systems with low-medium complexity. This paper presents a strategy to preserve most of the advantages of an analog implementation, while allowing a notorious increment of...

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