Observation based control model approximation through fuzzy-genetic learning

An approach for control model approximation using fuzzy-genetic learning techniques is considered in this report. The focus will be on the hardware setup for capturing and recording scenes of the control session. Subsequently, the software aspect of data processing required to filter the signals rec...

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Bibliographic Details
Main Author:	Foo, Tee Jong.
Other Authors:	Lim, Meng Hiot
Format:	Theses and Dissertations
Published:	2008
Subjects:	DRNTU::Engineering::Electrical and electronic engineering::Computer hardware, software and systems
Online Access:	http://hdl.handle.net/10356/4253
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Institution:	Nanyang Technological University

id	sg-ntu-dr.10356-4253
record_format	dspace
spelling	sg-ntu-dr.10356-42532023-07-04T15:01:36Z Observation based control model approximation through fuzzy-genetic learning Foo, Tee Jong. Lim, Meng Hiot School of Electrical and Electronic Engineering DRNTU::Engineering::Electrical and electronic engineering::Computer hardware, software and systems An approach for control model approximation using fuzzy-genetic learning techniques is considered in this report. The focus will be on the hardware setup for capturing and recording scenes of the control session. Subsequently, the software aspect of data processing required to filter the signals recorded to derive the necessary samples to be used in the approximation of the control model using the fuzzy-genetic learning technique. Based on the observations, the learning module is able to derive an n-rule fuzzy control system for the problem in consideration. Master of Science (Consumer Electronics) 2008-09-17T09:47:46Z 2008-09-17T09:47:46Z 2004 2004 Thesis http://hdl.handle.net/10356/4253 Nanyang Technological University application/pdf
institution	Nanyang Technological University
building	NTU Library
continent	Asia
country	Singapore Singapore
content_provider	NTU Library
collection	DR-NTU
topic	DRNTU::Engineering::Electrical and electronic engineering::Computer hardware, software and systems
spellingShingle	DRNTU::Engineering::Electrical and electronic engineering::Computer hardware, software and systems Foo, Tee Jong. Observation based control model approximation through fuzzy-genetic learning
description	An approach for control model approximation using fuzzy-genetic learning techniques is considered in this report. The focus will be on the hardware setup for capturing and recording scenes of the control session. Subsequently, the software aspect of data processing required to filter the signals recorded to derive the necessary samples to be used in the approximation of the control model using the fuzzy-genetic learning technique. Based on the observations, the learning module is able to derive an n-rule fuzzy control system for the problem in consideration.
author2	Lim, Meng Hiot
author_facet	Lim, Meng Hiot Foo, Tee Jong.
format	Theses and Dissertations
author	Foo, Tee Jong.
author_sort	Foo, Tee Jong.
title	Observation based control model approximation through fuzzy-genetic learning
title_short	Observation based control model approximation through fuzzy-genetic learning
title_full	Observation based control model approximation through fuzzy-genetic learning
title_fullStr	Observation based control model approximation through fuzzy-genetic learning
title_full_unstemmed	Observation based control model approximation through fuzzy-genetic learning
title_sort	observation based control model approximation through fuzzy-genetic learning
publishDate	2008
url	http://hdl.handle.net/10356/4253
_version_	1772825534485495808

Observation based control model approximation through fuzzy-genetic learning

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