Linearisation of process models : an analysis and applications using neural networks

Linearisation of process models : an analysis and applications using neural networks

The emergence of Artificial Neural Networks (ANNs) has rekindled interest in nonlinear control theory. Some applications of Artificial Neural Networks to process control have been reported in the literature. The capability of ANN is that even with an inappropriate choice of input variables, ANN can...

Full description

Saved in:
Bibliographic Details
Main Author: Fazlur Rahman M. H. R.
Other Authors: Zhu, Kuanyi
Format: Theses and Dissertations
Published: 2010
Subjects:
DRNTU::Engineering::Electrical and electronic engineering::Computer hardware, software and systems
Online Access:http://hdl.handle.net/10356/38977
Tags: Add Tag
No Tags, Be the first to tag this record!
Institution: Nanyang Technological University
id sg-ntu-dr.10356-38977
record_format dspace
spelling sg-ntu-dr.10356-389772023-07-04T15:26:58Z Linearisation of process models : an analysis and applications using neural networks Fazlur Rahman M. H. R. Zhu, Kuanyi School of Electrical and Electronic Engineering DRNTU::Engineering::Electrical and electronic engineering::Computer hardware, software and systems The emergence of Artificial Neural Networks (ANNs) has rekindled interest in nonlinear control theory. Some applications of Artificial Neural Networks to process control have been reported in the literature. The capability of ANN is that even with an inappropriate choice of input variables, ANN can be trained in such a way that many of the input variables may have little effect on the output. In such cases, the importance of knowledge of the process to be modelled cannot be overemphasised. A good understanding of the nature of the nonlinearity of process is important for proper application and exploitation of ANN for modelling and control. Doctor of Philosophy (EEE) 2010-05-21T03:38:20Z 2010-05-21T03:38:20Z 1997 1997 Thesis http://hdl.handle.net/10356/38977 NANYANG TECHNOLOGICAL UNIVERSITY 305 p. 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
Fazlur Rahman M. H. R.
Linearisation of process models : an analysis and applications using neural networks
description The emergence of Artificial Neural Networks (ANNs) has rekindled interest in nonlinear control theory. Some applications of Artificial Neural Networks to process control have been reported in the literature. The capability of ANN is that even with an inappropriate choice of input variables, ANN can be trained in such a way that many of the input variables may have little effect on the output. In such cases, the importance of knowledge of the process to be modelled cannot be overemphasised. A good understanding of the nature of the nonlinearity of process is important for proper application and exploitation of ANN for modelling and control.
author2 Zhu, Kuanyi
author_facet Zhu, Kuanyi
Fazlur Rahman M. H. R.
format Theses and Dissertations
author Fazlur Rahman M. H. R.
author_sort Fazlur Rahman M. H. R.
title Linearisation of process models : an analysis and applications using neural networks
title_short Linearisation of process models : an analysis and applications using neural networks
title_full Linearisation of process models : an analysis and applications using neural networks
title_fullStr Linearisation of process models : an analysis and applications using neural networks
title_full_unstemmed Linearisation of process models : an analysis and applications using neural networks
title_sort linearisation of process models : an analysis and applications using neural networks
publishDate 2010
url http://hdl.handle.net/10356/38977
_version_ 1772825848556027904

Similar Items