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Multiple Model Identification for a High Purity Distillation Column Process Based on EM Algorithm
Joint Authors
Chen, Lei
Liu, Fei
Xu, Bao-guo
Xiong, Weili
Source
Mathematical Problems in Engineering
Issue
Vol. 2014, Issue 2014 (31 Dec. 2014), pp.1-9, 9 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2014-02-13
Country of Publication
Egypt
No. of Pages
9
Main Subjects
Abstract EN
Due to the strong nonlinearity and transition dynamics between different operating points of the high purity distillation column process, it is difficult to use a single model for modeling such a process.
Therefore, the multiple model based approach is introduced for modeling the high purity distillation column plant under the framework of the expectation maximization (EM) algorithm.
In this paper, autoregressive exogenous (ARX) models are adopted to construct the local models of this chemical process at different operating points, and the EM algorithm is used for identification of local models as well as the probability that each local model takes effect.
The global model is obtained by aggregating the local models using an exponential weighting function.
Finally, the simulation performed on the high purity distillation column demonstrates the effectiveness of the proposed method.
American Psychological Association (APA)
Xiong, Weili& Chen, Lei& Liu, Fei& Xu, Bao-guo. 2014. Multiple Model Identification for a High Purity Distillation Column Process Based on EM Algorithm. Mathematical Problems in Engineering،Vol. 2014, no. 2014, pp.1-9.
https://search.emarefa.net/detail/BIM-492555
Modern Language Association (MLA)
Xiong, Weili…[et al.]. Multiple Model Identification for a High Purity Distillation Column Process Based on EM Algorithm. Mathematical Problems in Engineering No. 2014 (2014), pp.1-9.
https://search.emarefa.net/detail/BIM-492555
American Medical Association (AMA)
Xiong, Weili& Chen, Lei& Liu, Fei& Xu, Bao-guo. Multiple Model Identification for a High Purity Distillation Column Process Based on EM Algorithm. Mathematical Problems in Engineering. 2014. Vol. 2014, no. 2014, pp.1-9.
https://search.emarefa.net/detail/BIM-492555
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-492555