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INICIO | 27 de julio de 2024
  

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

Título inglés A mixed-signal architecture for high complexity CMOS fuzzy controlers.
Título español Arquitectura de señal mixta para controladores difusos de CMOS de alta complejidad.
Autor/es Navas-González, Rafael ; Vidal-Verdú, Fernando ; Rodríguez-Vázquez, Angel
Organización Dep. Electrón. Univ. Málaga, Málaga, España;Dep. Circuit. Integ. Analóg. Señal Mixta Cent. Nac. Microelectrón. (CNM-CSIC), Sevilla, España
Revista 1134-5632
Publicación 1999, 6 (2-3): 331-343, 11 Ref.
Tipo de documento articulo
Idioma Inglés
Resumen inglés 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 the system complexity. Such strategy consists in implementing a reduced number of rules, those that really determine the output in a lattice controller, which we call analog core, then this core is dynamically programmed to perform the computation related to a specific rule set. The data to program the analog core are stored in a memory, and constitutes the whole knowledge base in a kind of virtual rule set. An example 64-rule, 2-input, 4-bit singleton controller has been designed in a CMOS 0.7μmm technology to demonstrate the viability of the architecture. The measured input-output delay is around 500ns for a power consumption of 16mW and a chip area (without pads) of 2.65mm2.
Clasificación UNESCO 120702
Palabras clave español Control difuso ; Lógica difusa ; Inteligencia artificial ; Circuitos analógicos ; Microcircuitos lógicos
Código MathReviews MR1774575
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Equipo DML-E
Instituto de Ciencias Matemáticas (ICMAT - CSIC)
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