NDLI: Using building blocks to design analog neuro-fuzzy controllers

Content Provider	IEEE Xplore Digital Library
Author	Vidal-Verdu, F. Rodriguez-Vazquez, A.
Copyright Year	1981
Abstract	We present a parallel architecture for fuzzy controllers and a methodology for their realization as analog CMOS chips for low- and medium-precision applications. These chips can be made to learn through the adaptation of electrically controllable parameters guided by a dedicated hardware-compatible learning algorithm. Our designs emphasize simplicity at the circuit level-a prerequisite for increasing processor complexity and operation speed. Examples include a three-input, four-rule controller chip in 1.5-/spl mu/m CMOS, single-poly, double-metal technology.<>
Sponsorship	IEEE Computer Society
Starting Page	49
Ending Page	57
Page Count	9
File Size	1188760
File Format	PDF
ISSN	02721732
Volume Number	15
Issue Number	4
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	1995-08-01
Publisher Place	U.S.A.
Access Restriction	One Nation One Subscription (ONOS)
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Fuzzy systems Circuits Fuzzy control CMOS technology Power system dynamics Hardware Inference algorithms Fuzzy sets Energy consumption Very large scale integration
Content Type	Text
Resource Type	Article
Subject	Electrical and Electronic Engineering Software Hardware and Architecture

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Using building blocks to design analog neuro-fuzzy controllers