A feature-based soft sensor for spectroscopic data analysis (English)
- New search for: Shah, Devarshi
- Further information on Shah, Devarshi:
- https://orcid.org/0000-0002-9647-8716
- New search for: Wang, Jin
- New search for: He, Q. Peter
- New search for: Shah, Devarshi
- Further information on Shah, Devarshi:
- https://orcid.org/0000-0002-9647-8716
- New search for: Wang, Jin
- New search for: He, Q. Peter
In:
Journal of Process Control
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78
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98-107
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2019
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ISSN:
- Article (Journal) / Electronic Resource
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Title:A feature-based soft sensor for spectroscopic data analysis
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Contributors:
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Published in:Journal of Process Control ; 78 ; 98-107
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Publisher:
- New search for: Elsevier Ltd
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Publication date:2019-03-22
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Size:10 pages
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ISSN:
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DOI:
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Type of media:Article (Journal)
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Type of material:Electronic Resource
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Language:English
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Keywords:
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Source:
Table of contents – Volume 78
The tables of contents are generated automatically and are based on the data records of the individual contributions available in the index of the TIB portal. The display of the Tables of Contents may therefore be incomplete.
- 1
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Recursive identification of block-oriented nonlinear systems in the presence of outliersFilipovic, Vojislav et al. | 2019
- 13
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Scalable learning and probabilistic analytics of industrial big data based on parameter server: Framework, methods and applicationsYao, Le / Ge, Zhiqiang et al. | 2019
- 34
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Robustness analysis of a nucleic acid controller for a dynamic biomolecular process using the structured singular valuePaulino, Nuno M.G. / Foo, Mathias / Kim, Jongmin / Bates, Declan G. et al. | 2019
- 45
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Dynamic optimization of thermodynamically rigorous models of multiphase flow in porous subsurface oil reservoirsRitschel, Tobias K.S. / Jørgensen, John Bagterp et al. | 2019
- 57
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PI based indirect-type iterative learning control for batch processes with time-varying uncertainties: A 2D FM model based approachHao, Shoulin / Liu, Tao / Gao, Furong et al. | 2019
- 68
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Sliding-mode disturbance observers for an artificial pancreas without meal announcementSala-Mira, Iván / Díez, José-Luis / Ricarte, Beatriz / Bondia, Jorge et al. | 2019
- 78
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On combining self-optimizing control and extremum-seeking control – Applied to an ammonia reactor case studyStraus, Julian / Krishnamoorthy, Dinesh / Skogestad, Sigurd et al. | 2019
- 88
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Incorporate active learning to semi-supervised industrial fault classificationYin, Lili / Wang, Huangang / Fan, Wenhui / Kou, Li / Lin, Tingyu / Xiao, Yingying et al. | 2019
- 98
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A feature-based soft sensor for spectroscopic data analysisShah, Devarshi / Wang, Jin / He, Q. Peter et al. | 2019
- 108
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Oscillation detection in process industries – Part I: Review of the detection methodsDambros, Jônathan W.V. / Trierweiler, Jorge O. / Farenzena, Marcelo et al. | 2019
- 124
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Optimal control for fermentative production of fructo-oligosaccharides in fed-batch bioreactorSchorsch, J. / Castro, C.C. / Couto, L.D. / Nobre, C. / Kinnaert, M. et al. | 2019
- 139
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Oscillation detection in process industries – Part II: Industrial applicationDambros, Jônathan W.V. / Trierweiler, Jorge O. / Farenzena, Marcelo / Kempf, Ariel / Longhi, Luís G.S. / Teixeira, Herbert C.G. et al. | 2019
- 155
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Combining set-theoretic UIO and invariant sets for optimal guaranteed robust fault detection and isolationXu, Feng / Tan, Junbo / Wang, Ye / Puig, Vicenç / Wang, Xueqian et al. | 2019
- 170
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Robust bi-objective optimal control of 1,3-propanediol microbial batch production processLiu, Chongyang / Gong, Zhaohua / Joseph Lee, Heung Wing / Teo, Kok Lay et al. | 2018
- ii
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Editorial Board| 2019