Augmented model based double iterative loop techniques for integrated system optimisation and parameter estimation of large scale industrial processes
Two novel hierarchical structures are presented which extend the applicability of previous model based double iterative loop techniques to non-convex problems. The methods incorporate integrated system optimisation and parameter estimation which utilizes process measurements to achieve real proce...
| Main Authors: | , , |
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| Format: | Article |
| Published: |
1993
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| Online Access: | http://journalarticle.ukm.my/1309/ |
| _version_ | 1848809487557722112 |
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| author | Normah Abdullah, Brdys, M.A. Roberts, P.D. |
| author_facet | Normah Abdullah, Brdys, M.A. Roberts, P.D. |
| author_sort | Normah Abdullah, |
| building | UKM Institutional Repository |
| collection | Online Access |
| description | Two novel hierarchical structures are presented which extend the applicability of
previous model based double iterative loop techniques to non-convex problems. The
methods incorporate integrated system optimisation and parameter estimation which
utilizes process measurements to achieve real process optimality inspite of model
reality differences. The double iterative loop structures of the proposed algorithms
use the real process measurement within the outer loops while the inner loops involve
model based computation only. This means that the algorithms use available
information from the real process efficiently and a significant reduction in set-point
alterations to real subprocesses is achieved. In order to cater for process complexity
the inner loops are organised in the form of two level hierarchical structures. The
paper presents the convergence conditions of the augmented techniques and
simulation examples are provided to illustrate and compare the methods |
| first_indexed | 2025-11-14T23:15:24Z |
| format | Article |
| id | ukm-1309 |
| institution | Universiti Kebangasaan Malaysia |
| institution_category | Local University |
| last_indexed | 2025-11-14T23:15:24Z |
| publishDate | 1993 |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | ukm-13092011-10-11T03:45:14Z http://journalarticle.ukm.my/1309/ Augmented model based double iterative loop techniques for integrated system optimisation and parameter estimation of large scale industrial processes Normah Abdullah, Brdys, M.A. Roberts, P.D. Two novel hierarchical structures are presented which extend the applicability of previous model based double iterative loop techniques to non-convex problems. The methods incorporate integrated system optimisation and parameter estimation which utilizes process measurements to achieve real process optimality inspite of model reality differences. The double iterative loop structures of the proposed algorithms use the real process measurement within the outer loops while the inner loops involve model based computation only. This means that the algorithms use available information from the real process efficiently and a significant reduction in set-point alterations to real subprocesses is achieved. In order to cater for process complexity the inner loops are organised in the form of two level hierarchical structures. The paper presents the convergence conditions of the augmented techniques and simulation examples are provided to illustrate and compare the methods 1993 Article PeerReviewed Normah Abdullah, and Brdys, M.A. and Roberts, P.D. (1993) Augmented model based double iterative loop techniques for integrated system optimisation and parameter estimation of large scale industrial processes. Jurnal Kejuruteraan, 5 . http://www.ukm.my/jkukm/index.php/jkukm |
| spellingShingle | Normah Abdullah, Brdys, M.A. Roberts, P.D. Augmented model based double iterative loop techniques for integrated system optimisation and parameter estimation of large scale industrial processes |
| title | Augmented model based double iterative loop techniques for
integrated system optimisation and parameter estimation of large
scale industrial processes |
| title_full | Augmented model based double iterative loop techniques for
integrated system optimisation and parameter estimation of large
scale industrial processes |
| title_fullStr | Augmented model based double iterative loop techniques for
integrated system optimisation and parameter estimation of large
scale industrial processes |
| title_full_unstemmed | Augmented model based double iterative loop techniques for
integrated system optimisation and parameter estimation of large
scale industrial processes |
| title_short | Augmented model based double iterative loop techniques for
integrated system optimisation and parameter estimation of large
scale industrial processes |
| title_sort | augmented model based double iterative loop techniques for
integrated system optimisation and parameter estimation of large
scale industrial processes |
| url | http://journalarticle.ukm.my/1309/ http://journalarticle.ukm.my/1309/ |