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Bien, Zeungnam
Intelligent Robot Control System Lab
Research Interests
  • Intelligent Control
  • Learning System Methodologies
  • Assistive Robotics
  • Smart Home System

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DESIGN OF EXPANDABLE FUZZY INFERENCE PROCESSOR

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Title
DESIGN OF EXPANDABLE FUZZY INFERENCE PROCESSOR
Author
LEE, SHBien, Zeungnam
Keywords
LOGIC CONTROLLER
Issue Date
1994-05
Publisher
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
Citation
IEEE TRANSACTIONS ON CONSUMER ELECTRONICS, v.40, no.2, pp.171 - 175
Abstract
Fuzzy logic controller(FLC) is widely used for applications ranging from industrial automation systems to consumer electronics products. In order to implement the FLC in a straightforward manner, dedicated hardware processors can be used for fast processing. However, hardware processor is often inflexible to expand. In the paper is presented a novel architecture of fuzzy inference processor consisting of IF modules and THEN modules. Using the architecture, one can expand the capacity of an FLC by simply adding another modules. Furthermore, pipelined parallelism is exploited in the architecture. The architecture is implemented and tested as a standard VME board type with discrete components in order to justify the operation
URI
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DOI
10.1109/30.286412
ISSN
0098-3063
Appears in Collections:
EE_Journal Papers
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