Robust neural network controller for variable airflow volume system

In this dissertation work, we concentrate on the analysis of a neural network (NN) tracking controller for the Variable Airflow Volume (VAV) system. A robust weight-tuning algorithm is proposed to train the multi-layered NN with a dead zone scheme. This scheme assures the convergence of the NN track...

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Main Author:	Syed Mahmud Husain.
Other Authors:	School of Electrical and Electronic Engineering
Format:	Theses and Dissertations
Published:	2008
Subjects:	DRNTU::Engineering::Electrical and electronic engineering::Control and instrumentation::Control engineering
Online Access:	http://hdl.handle.net/10356/3323
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Institution:	Nanyang Technological University

id	sg-ntu-dr.10356-3323
record_format	dspace
spelling	sg-ntu-dr.10356-33232023-07-04T15:43:32Z Robust neural network controller for variable airflow volume system Syed Mahmud Husain. School of Electrical and Electronic Engineering DRNTU::Engineering::Electrical and electronic engineering::Control and instrumentation::Control engineering In this dissertation work, we concentrate on the analysis of a neural network (NN) tracking controller for the Variable Airflow Volume (VAV) system. A robust weight-tuning algorithm is proposed to train the multi-layered NN with a dead zone scheme. This scheme assures the convergence of the NN tracking error in the presence of disturbance. Master of Science (Computer Control and Automation) 2008-09-17T09:27:23Z 2008-09-17T09:27:23Z 2002 2002 Thesis http://hdl.handle.net/10356/3323 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::Control and instrumentation::Control engineering
spellingShingle	DRNTU::Engineering::Electrical and electronic engineering::Control and instrumentation::Control engineering Syed Mahmud Husain. Robust neural network controller for variable airflow volume system
description	In this dissertation work, we concentrate on the analysis of a neural network (NN) tracking controller for the Variable Airflow Volume (VAV) system. A robust weight-tuning algorithm is proposed to train the multi-layered NN with a dead zone scheme. This scheme assures the convergence of the NN tracking error in the presence of disturbance.
author2	School of Electrical and Electronic Engineering
author_facet	School of Electrical and Electronic Engineering Syed Mahmud Husain.
format	Theses and Dissertations
author	Syed Mahmud Husain.
author_sort	Syed Mahmud Husain.
title	Robust neural network controller for variable airflow volume system
title_short	Robust neural network controller for variable airflow volume system
title_full	Robust neural network controller for variable airflow volume system
title_fullStr	Robust neural network controller for variable airflow volume system
title_full_unstemmed	Robust neural network controller for variable airflow volume system
title_sort	robust neural network controller for variable airflow volume system
publishDate	2008
url	http://hdl.handle.net/10356/3323
_version_	1772826301261938688

Robust neural network controller for variable airflow volume system

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