The DOI matches its Crossref record; 212 of the 215 references it cites were found in a registry or an index.
Review and classification of recent observers applied in chemical process systems
Open accessAbstract
Observers are computational algorithms designed to estimate unmeasured state variables due to the lack of appropriate estimating devices or to replace high-priced sensors in a plant. It is always important to estimate those states prior to developing state feedback laws for control and to prevent process disruptions, process shutdowns and even process failures. The diversity of state estimation techniques resulting from intrinsic differences in chemical process systems makes it difficult to select the proper technique from a theoretical or practical point of view for design and implementation in specific applications. Hence, in this paper, we review the applications of recent observers to chemical process systems and classify them into six classes, which differentiate them with respect to their features and assists in the design of observers. Furthermore, we provide guidelines in designing and choosing the observers for particular applications, and we discuss the future directions for these observers.
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“Luenberger-based observers are well-suited for infinite-dimensional systems when the system parameters are perfectly known.[27]”
From Optimal control of axial dispersion tubular reactors with recycle: Addressing state‐delay through transport PDEs (2025) · cites this paper as [27]
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Cites
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BackgroundObservers for multivariable systems
Luenberger, D. (1966) · IEEE Transactions on Automatic Control · doi:10.1109/tac.1966.1098323 · Cited by 1,763
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Research works printed but not linked: 2
- D’Attellis, 1997, Nonlinear observers. Nonlinear analysis: theory, Methods Appl, 30, 3891
- Daum, 2005, Nonlinear filters: beyond the Kalman filter. Aerospace and electronic systems magazine, IEEE, 20, 57
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Metadata
- Authors
- Mohd Ali, J., Ha Hoang, N., Hussain, M. A., & Dochain, D.
- Affiliations
- University of Malaya (MY)
- UCLouvain (BE)
- Corresponding author
- Hussain, M.A.
- Venue
- Computers & Chemical Engineering
- Publisher
- Elsevier BV
- Published
- 2015-05
- Volume
- 76
- Pages
- 27-41
- ISSN
- 0098-1354 (ISSN-L)
- OpenAlex
- W2034764524
- Cited by
- 239
- References
- 215
- Citations by year
- 2026: 6 · 2025: 11 · 2024: 13 · 2023: 15 · 2022: 20 · 2021: 31 · 2020: 24 · 2019: 44 · 2018: 27 · 2017: 24 · 2016: 20 · 2015: 4
- FWCI
- 23.14
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Licence
- Locations
- Computers & Chemical Engineering (publishedVersion, cc-by-nc-nd)
- The University of Malaya Research Repository (University of Malaya) (acceptedVersion)
- Digital Access to Libraries (submittedVersion)
- Funders
- University of Malaya
- Ministry of Higher Education in Malaysia
- Viet Nam National Foundation for Science and Technology Development (NAFOSTED) (104.99-2014.74)
- Topics
- Physical Sciences › Engineering › Control and Systems Engineering › Control Systems and Identification
- Physical Sciences › Engineering › Control and Systems Engineering › Fault Detection and Control Systems
- Physical Sciences › Engineering › Control and Systems Engineering › Advanced Control Systems Optimization
- Keywords
- state observer, state estimation, chemical process systems, observer design, sensor replacement, state feedback control, process fault detection
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