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Review of the applications of neural networks in chemical process control - simulation and online implementation

As a result of good modeling capabilities, neural networks have been used extensively for a number of chemical engineering applications such as sensor data analysis, fault detection and nonlinear process identification. However, only in recent years, with the upsurge in the research on nonlinear con...

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Main Author: Hussain, Mohd Azlan
Format: Article
Language:English
Published: Artificial Intelligence in Engineering 1999
Subjects:
TA Engineering (General). Civil engineering (General)
TP Chemical technology
Online Access:http://eprints.um.edu.my/7096/1/Hussain-1999-Review_of_the_applic.pdf
http://eprints.um.edu.my/7096/
http://ac.els-cdn.com/S0954181098000119/1-s2.0-S0954181098000119-main.pdf?_tid=35c564f6-860d-11e2-a209-00000aab0f6b&acdnat=1362540386_e05f05438f3b01808772056389a4a008
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spelling my.um.eprints.70962021-02-10T03:27:49Z http://eprints.um.edu.my/7096/ Review of the applications of neural networks in chemical process control - simulation and online implementation Hussain, Mohd Azlan TA Engineering (General). Civil engineering (General) TP Chemical technology As a result of good modeling capabilities, neural networks have been used extensively for a number of chemical engineering applications such as sensor data analysis, fault detection and nonlinear process identification. However, only in recent years, with the upsurge in the research on nonlinear control, has its use in process control been widespread. This paper intend to provide an extensive review of the various applications utilizing neural networks for chemical process control, both in simulation and online implementation. We have categorized the review under three major control schemes; predictive control, inverse-model-based control, and adaptive control methods, respectively. In each of these categories, we summarize the major applications as well as the objectives and results of the work. The review reveals the tremendous prospect of using neural networks in process control. It also shows the multilayered neural network as the most popular network for such process control applications and also shows the lack of actual successful online applications at the present time. Artificial Intelligence in Engineering 1999 Article PeerReviewed application/pdf en http://eprints.um.edu.my/7096/1/Hussain-1999-Review_of_the_applic.pdf Hussain, Mohd Azlan (1999) Review of the applications of neural networks in chemical process control - simulation and online implementation. Artificial Intelligence in Engineering, 13 (1). pp. 55-68. ISSN 0954-1810 http://ac.els-cdn.com/S0954181098000119/1-s2.0-S0954181098000119-main.pdf?_tid=35c564f6-860d-11e2-a209-00000aab0f6b&acdnat=1362540386_e05f05438f3b01808772056389a4a008 10.1016/S0954-1810(98)00011-9
institution Universiti Malaya
building UM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaya
content_source UM Research Repository
url_provider http://eprints.um.edu.my/
language English
topic TA Engineering (General). Civil engineering (General)
TP Chemical technology
spellingShingle TA Engineering (General). Civil engineering (General)
TP Chemical technology
Hussain, Mohd Azlan
Review of the applications of neural networks in chemical process control - simulation and online implementation
description As a result of good modeling capabilities, neural networks have been used extensively for a number of chemical engineering applications such as sensor data analysis, fault detection and nonlinear process identification. However, only in recent years, with the upsurge in the research on nonlinear control, has its use in process control been widespread. This paper intend to provide an extensive review of the various applications utilizing neural networks for chemical process control, both in simulation and online implementation. We have categorized the review under three major control schemes; predictive control, inverse-model-based control, and adaptive control methods, respectively. In each of these categories, we summarize the major applications as well as the objectives and results of the work. The review reveals the tremendous prospect of using neural networks in process control. It also shows the multilayered neural network as the most popular network for such process control applications and also shows the lack of actual successful online applications at the present time.
format Article
author Hussain, Mohd Azlan
author_facet Hussain, Mohd Azlan
author_sort Hussain, Mohd Azlan
title Review of the applications of neural networks in chemical process control - simulation and online implementation
title_short Review of the applications of neural networks in chemical process control - simulation and online implementation
title_full Review of the applications of neural networks in chemical process control - simulation and online implementation
title_fullStr Review of the applications of neural networks in chemical process control - simulation and online implementation
title_full_unstemmed Review of the applications of neural networks in chemical process control - simulation and online implementation
title_sort review of the applications of neural networks in chemical process control - simulation and online implementation
publisher Artificial Intelligence in Engineering
publishDate 1999
url http://eprints.um.edu.my/7096/1/Hussain-1999-Review_of_the_applic.pdf
http://eprints.um.edu.my/7096/
http://ac.els-cdn.com/S0954181098000119/1-s2.0-S0954181098000119-main.pdf?_tid=35c564f6-860d-11e2-a209-00000aab0f6b&acdnat=1362540386_e05f05438f3b01808772056389a4a008
_version_ 1691733425184047104
score 13.211869

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