Design of an Analog Adaptive Fuzzy Logic Controller

An analog Adaptive fuzzy logic controller is proposed. This controller is based on back-propagation algorithm, and designed for the use of on chip learning. This adaptive fuzzy logic controller was composed of an analog fuzzy logic controller and a learning circuit that realizes online learning mech...

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Bibliographic Details
Published inFuzzy Systems and Knowledge Discovery pp. 1034 - 1043
Main Authors Xu, Zhihao, Jin, Dongming, Li, Zhijian
Format Book Chapter Conference Proceeding
LanguageEnglish
Published Berlin, Heidelberg Springer Berlin Heidelberg 2005
Springer
SeriesLecture Notes in Computer Science
Subjects
Applied sciences
Artificial intelligence
Computer science; control theory; systems
Exact sciences and technology
Fuzzy logic
Fuzzy control
Backpropagation algorithm
Control circuit
Logic controller
Adaptive control
Remote teaching
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Summary:An analog Adaptive fuzzy logic controller is proposed. This controller is based on back-propagation algorithm, and designed for the use of on chip learning. This adaptive fuzzy logic controller was composed of an analog fuzzy logic controller and a learning circuit that realizes online learning mechanism. It can tune the consequent parameters automatically with the help of a direction signal. Hspice simulation of functional approximation experiment was held, showing that this controller has the on-chip learning capability.
ISBN:3540283129
9783540283126
ISSN:0302-9743
1611-3349
DOI:10.1007/11539506_128