Please use this identifier to cite or link to this item: http://dspace.mediu.edu.my:8181/xmlui/handle/10261/2243
Title: A mixed-signal architecture for high complexity CMOS fuzzy controlers
Arquitectura de señal mixta para controladores difusos de CMOS de alta complejidad
Keywords: Control difuso
Lógica difusa
Inteligencia artificial
Circuitos analógicos
Microcircuitos lógicos
Publisher: Universidad Politécnica de Cataluña
Description: Analog circuits provide better area/power efficiency than their digital counterparts for low-medium precision requirements. 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 0.7 μmm technology to demonstrate the viability of the architecture. The measured input-output delay is around 500 ns for a power consumption of 16 mW and a chip area (without pads) of 2.65 mm2.
Peer reviewed
URI: http://dspace.mediu.edu.my:8181/xmlui/handle/10261/2243
Other Identifiers: Mathware and Soft Computing, 1999, 6 (2-3): 331-343.
1134-5632
http://hdl.handle.net/10261/2243
Appears in Collections:Digital Csic

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