LAPSE:2021.0464
Published Article
LAPSE:2021.0464
Challenges and Opportunities on Nonlinear State Estimation of Chemical and Biochemical Processes
Ronald Alexander, Gilson Campani, San Dinh, Fernando V. Lima
May 27, 2021
This paper provides an overview of nonlinear state estimation techniques along with a discussion on the challenges and opportunities for future work in the field. Emphasis is given on Bayesian methods such as moving horizon estimation (MHE) and extended Kalman filter (EKF). A discussion on Bayesian, deterministic, and hybrid methods is provided and examples of each of these methods are listed. An approach for nonlinear state estimation design is included to guide the selection of the nonlinear estimator by the user/practitioner. Some of the current challenges in the field are discussed involving covariance estimation, uncertainty quantification, time-scale multiplicity, bioprocess monitoring, and online implementation. A case study in which MHE and EKF are applied to a batch reactor system is addressed to highlight the challenges of these technologies in terms of performance and computational time. This case study is followed by some possible opportunities for state estimation in the future including the incorporation of more efficient optimization techniques and development of heuristics to streamline the further adoption of MHE.
Keywords
extended Kalman filter, moving horizon estimation, nonlinear system, state estimation
Suggested Citation
Alexander R, Campani G, Dinh S, Lima FV. Challenges and Opportunities on Nonlinear State Estimation of Chemical and Biochemical Processes. (2021). LAPSE:2021.0464
Author Affiliations
Alexander R: Department of Chemical and Biomedical Engineering, West Virginia University, Morgantown, WV 26506, USA
Campani G: Department of Engineering, Federal University of Lavras, Lavras, MG 37200-900, Brazil [ORCID]
Dinh S: Department of Chemical and Biomedical Engineering, West Virginia University, Morgantown, WV 26506, USA
Lima FV: Department of Chemical and Biomedical Engineering, West Virginia University, Morgantown, WV 26506, USA [ORCID]
Journal Name
Processes
Volume
8
Issue
11
Article Number
E1462
Year
2020
Publication Date
2020-11-15
Published Version
ISSN
2227-9717
Version Comments
Original Submission
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PII: pr8111462, Publication Type: Review
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LAPSE:2021.0464
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doi:10.3390/pr8111462
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May 27, 2021
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CC BY 4.0
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[v1] (Original Submission)
May 27, 2021
 
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May 27, 2021
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Calvin Tsay
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