Adaptive tuning and control of process plants using neural networks

A new method of correlating the output variable with the input variables of the system has been used in this project to determine the extent of time delays. The proposed method has an intuitive appeal and is easy to apply. Based on the data obtained for an industrial heater, various series-parallel...

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Main Author:	Devanathan, Rajagopalan
Other Authors:	School of Electrical and Electronic Engineering
Format:	Research Report
Published:	2008
Subjects:	DRNTU::Engineering::Electrical and electronic engineering::Computer hardware, software and systems
Online Access:	http://hdl.handle.net/10356/3026
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Institution:	Nanyang Technological University

id	sg-ntu-dr.10356-3026
record_format	dspace
spelling	sg-ntu-dr.10356-30262023-03-04T03:23:56Z Adaptive tuning and control of process plants using neural networks Devanathan, Rajagopalan School of Electrical and Electronic Engineering DRNTU::Engineering::Electrical and electronic engineering::Computer hardware, software and systems A new method of correlating the output variable with the input variables of the system has been used in this project to determine the extent of time delays. The proposed method has an intuitive appeal and is easy to apply. Based on the data obtained for an industrial heater, various series-parallel neural networks of different external configurations are constructed and examined for their capabilities as one-step ahead predictors as well as long term predictors. RP 15/93 2008-09-17T09:19:07Z 2008-09-17T09:19:07Z 1999 1999 Research Report http://hdl.handle.net/10356/3026 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 Devanathan, Rajagopalan Adaptive tuning and control of process plants using neural networks
description	A new method of correlating the output variable with the input variables of the system has been used in this project to determine the extent of time delays. The proposed method has an intuitive appeal and is easy to apply. Based on the data obtained for an industrial heater, various series-parallel neural networks of different external configurations are constructed and examined for their capabilities as one-step ahead predictors as well as long term predictors.
author2	School of Electrical and Electronic Engineering
author_facet	School of Electrical and Electronic Engineering Devanathan, Rajagopalan
format	Research Report
author	Devanathan, Rajagopalan
author_sort	Devanathan, Rajagopalan
title	Adaptive tuning and control of process plants using neural networks
title_short	Adaptive tuning and control of process plants using neural networks
title_full	Adaptive tuning and control of process plants using neural networks
title_fullStr	Adaptive tuning and control of process plants using neural networks
title_full_unstemmed	Adaptive tuning and control of process plants using neural networks
title_sort	adaptive tuning and control of process plants using neural networks
publishDate	2008
url	http://hdl.handle.net/10356/3026
_version_	1759857148217524224

Adaptive tuning and control of process plants using neural networks

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