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    Source term boundary adaptive estimation in a first-order 1D hyperbolic PDE: Application to a one loop solar collector through

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    Type
    Conference Paper
    Authors
    Mechhoud, Sarra cc
    Laleg-Kirati, Taous-Meriem cc
    KAUST Department
    Computational Bioscience Research Center (CBRC)
    Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division
    Electrical Engineering Program
    Date
    2016-08-04
    Online Publication Date
    2016-08-04
    Print Publication Date
    2016-07
    Permanent link to this record
    http://hdl.handle.net/10754/622468
    
    Metadata
    Show full item record
    Abstract
    In this paper, boundary adaptive estimation of solar radiation in a solar collector plant is investigated. The solar collector is described by a 1D first-order hyperbolic partial differential equation where the solar radiation models the source term and only boundary measurements are available. Using boundary injection, the estimator is developed in the Lyapunov approach and consists of a combination of a state observer and a parameter adaptation law which guarantee the asymptotic convergence of the state and parameter estimation errors. Simulation results are provided to illustrate the performance of the proposed identifier.
    Citation
    Mechhoud S, Laleg-Kirati T-M (2016) Source term boundary adaptive estimation in a first-order 1D hyperbolic PDE: Application to a one loop solar collector through. 2016 American Control Conference (ACC). Available: http://dx.doi.org/10.1109/ACC.2016.7526487.
    Publisher
    Institute of Electrical and Electronics Engineers (IEEE)
    Journal
    2016 American Control Conference (ACC)
    Conference/Event name
    2016 American Control Conference, ACC 2016
    DOI
    10.1109/ACC.2016.7526487
    ae974a485f413a2113503eed53cd6c53
    10.1109/ACC.2016.7526487
    Scopus Count
    Collections
    Conference Papers; Electrical and Computer Engineering Program; Computational Bioscience Research Center (CBRC); Computer, Electrical and Mathematical Science and Engineering (CEMSE) Division

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