Genetic algorithms based optimal fuzzy logic control system design

The goal of this thesis is to develop systematic design methodologies for fuzzy logic controller (FLC) using genetic algorithms (GAs). Main subjects are how to systematize the fuzzy logic controller design procedure and how to embed the genetic algorithms with the control objectives or performance c...

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Bibliographic Details
Main Author:	Qi, Xiaoming
Other Authors:	Chin, Teck Chai
Format:	Theses and Dissertations
Language:	English
Published:	2009
Subjects:	DRNTU::Engineering::Electrical and electronic engineering::Control and instrumentation
Online Access:	http://hdl.handle.net/10356/19654
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Institution:	Nanyang Technological University
Language:	English

id	sg-ntu-dr.10356-19654
record_format	dspace
spelling	sg-ntu-dr.10356-196542023-07-04T15:28:46Z Genetic algorithms based optimal fuzzy logic control system design Qi, Xiaoming Chin, Teck Chai School of Electrical and Electronic Engineering DRNTU::Engineering::Electrical and electronic engineering::Control and instrumentation The goal of this thesis is to develop systematic design methodologies for fuzzy logic controller (FLC) using genetic algorithms (GAs). Main subjects are how to systematize the fuzzy logic controller design procedure and how to embed the genetic algorithms with the control objectives or performance criteria. Master of Engineering 2009-12-14T06:20:01Z 2009-12-14T06:20:01Z 1996 1996 Thesis http://hdl.handle.net/10356/19654 en NANYANG TECHNOLOGICAL UNIVERSITY 126 p. application/pdf
institution	Nanyang Technological University
building	NTU Library
continent	Asia
country	Singapore Singapore
content_provider	NTU Library
collection	DR-NTU
language	English
topic	DRNTU::Engineering::Electrical and electronic engineering::Control and instrumentation
spellingShingle	DRNTU::Engineering::Electrical and electronic engineering::Control and instrumentation Qi, Xiaoming Genetic algorithms based optimal fuzzy logic control system design
description	The goal of this thesis is to develop systematic design methodologies for fuzzy logic controller (FLC) using genetic algorithms (GAs). Main subjects are how to systematize the fuzzy logic controller design procedure and how to embed the genetic algorithms with the control objectives or performance criteria.
author2	Chin, Teck Chai
author_facet	Chin, Teck Chai Qi, Xiaoming
format	Theses and Dissertations
author	Qi, Xiaoming
author_sort	Qi, Xiaoming
title	Genetic algorithms based optimal fuzzy logic control system design
title_short	Genetic algorithms based optimal fuzzy logic control system design
title_full	Genetic algorithms based optimal fuzzy logic control system design
title_fullStr	Genetic algorithms based optimal fuzzy logic control system design
title_full_unstemmed	Genetic algorithms based optimal fuzzy logic control system design
title_sort	genetic algorithms based optimal fuzzy logic control system design
publishDate	2009
url	http://hdl.handle.net/10356/19654
_version_	1772827271142309888

Genetic algorithms based optimal fuzzy logic control system design

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