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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| Format: | Article |
| Language: | English |
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Artificial Intelligence in Engineering
1999
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| Online Access: | http://eprints.um.edu.my/7096/1/Hussain-1999-Review_of_the_applic.pdf |
| _version_ | 1796945527044046848 |
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| author | Hussain, Mohd Azlan |
| author_facet | Hussain, Mohd Azlan |
| author_sort | Hussain, Mohd Azlan |
| collection | UM |
| 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. |
| first_indexed | 2024-03-06T05:17:57Z |
| format | Article |
| id | um.eprints-7096 |
| institution | Universiti Malaya |
| language | English |
| last_indexed | 2024-03-06T05:17:57Z |
| publishDate | 1999 |
| publisher | Artificial Intelligence in Engineering |
| record_format | dspace |
| spelling | 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 , DOI https://doi.org/10.1016/S0954-1810(98)00011-9 <https://doi.org/10.1016/S0954-1810(98)00011-9>. 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 |
| 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 |
| title | 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_short | 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 |
| topic | TA Engineering (General). Civil engineering (General) TP Chemical technology |
| url | http://eprints.um.edu.my/7096/1/Hussain-1999-Review_of_the_applic.pdf |
| work_keys_str_mv | AT hussainmohdazlan reviewoftheapplicationsofneuralnetworksinchemicalprocesscontrolsimulationandonlineimplementation |