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    Observer-based Economic Model Predictive Control for Direct Contact Membrane Distillation

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    Type
    Article
    Authors
    Guo, Xingang cc
    Albalawi, Fahad
    Laleg-Kirati, Taous-Meriem cc
    KAUST Department
    Computational Bioscience Research Center (CBRC)
    Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division
    Electrical Engineering
    Electrical Engineering Program
    Estimation, Modeling and ANalysis Group
    Date
    2020-01-31
    Online Publication Date
    2020-01-31
    Print Publication Date
    2020-04
    Submitted Date
    2019-11-23
    Permanent link to this record
    http://hdl.handle.net/10754/661547
    
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    Abstract
    In this work, we present an Observer-based Economic Model Predictive Control (OEMPC) scheme for Direct Contact Membrane Distillation (DCMD). To compute control actions via MPC strategy, full knowledge of the system states is necessary to predict the future evolution of the system. However, the full state measurement for DMCD is either difficult or costly. In this work, an integrated framework of an observer design and EMPC paradigm is proposed for the DMCD process. Numerical simulations are presented to illustrate the performance of the proposed observer design. Closed-loop simulations show that the proposed OEMPC scheme was able to operate the process economically while satisfying process and input constraints.
    Citation
    Guo, X., Albalawi, F., & Laleg-Kirati, T.-M. (2020). Observer-based Economic Model Predictive Control for Direct Contact Membrane Distillation. Chemical Engineering Research and Design, 156, 86–99. doi:10.1016/j.cherd.2020.01.027
    Sponsors
    Research reported in this publication has been supported by the King Abdullah University of Science and Technology (KAUST).
    Publisher
    Elsevier BV
    Journal
    Chemical Engineering Research and Design
    DOI
    10.1016/j.cherd.2020.01.027
    10.1016/j.cherd.7070.01.077
    Additional Links
    https://linkinghub.elsevier.com/retrieve/pii/S026387622030040X
    ae974a485f413a2113503eed53cd6c53
    10.1016/j.cherd.2020.01.027
    Scopus Count
    Collections
    Articles; Electrical and Computer Engineering Program; Computational Bioscience Research Center (CBRC); Computer, Electrical and Mathematical Science and Engineering (CEMSE) Division

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