A mixed-signal architecture for high complexity CMOS fuzzy controlers

• Autores: Rafael Jesús Navas González, Fernando Vidal Verdú, Ángel Benito Rodríguez Vázquez
• Localización: Mathware & soft computing: The Magazine of the European Society for Fuzzy Logic and Technology, ISSN-e 1134-5632, Vol. 6, Nº. 2-3, 1999, págs. 331-343
• Idioma: inglés
• Títulos paralelos:
  • Arquitectura de señal mixta para controladores difusos de CMOS de alta complejidad
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• Resumen

  • 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.