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    Adaptive Energy-based Bilinear Control of First-Order 1-D Hyperbolic PDEs: Application to a One-Loop Parabolic Solar Collector Trough

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    1-s2.0-S0016003217306348-main.pdf
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    Description:
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    Type
    Article
    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
    2017-12-14
    Online Publication Date
    2017-12-14
    Print Publication Date
    2018-01
    Permanent link to this record
    http://hdl.handle.net/10754/626404
    
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    Abstract
    In this paper, the adaptive bilinear control of a first-order 1-D hyperbolic partial differential equation (PDE) with an unknown time-varying source term is investigated where only boundary measurements are available. By means of boundary injection, the bilinear adaptive law is developed in the Lyapunov approach. It consists of a state observer and an input adaptation law combined with a bilinear control method derived using an energy-like principle. Both global asymptotic practical convergence of the tracking error and input-to-state stability of the system are guaranteed. A potential application of this control strategy is the one-loop solar collector parabolic trough where the solar irradiance is the unknown input (source term) and the flow rate is the control variable. The objective is to drive the boundary temperature at the outlet to track a desired profile. Simulation results are provided to illustrate the performance of the proposed method.
    Citation
    Mechhoud S, Laleg-Kirati T-M (2017) Adaptive Energy-based Bilinear Control of First-Order 1-D Hyperbolic PDEs: Application to a One-Loop Parabolic Solar Collector Trough. Journal of the Franklin Institute. Available: http://dx.doi.org/10.1016/j.jfranklin.2017.12.003.
    Sponsors
    Research reported in this publication has been supported by the King Abdullah University of Science and Technology (KAUST). The authors are very thankful to the anonymous reviewers and to the Associate Editor for their valuable comments which helped improving the presentation.
    Publisher
    Elsevier BV
    Journal
    Journal of the Franklin Institute
    DOI
    10.1016/j.jfranklin.2017.12.003
    Additional Links
    http://www.sciencedirect.com/science/article/pii/S0016003217306348
    ae974a485f413a2113503eed53cd6c53
    10.1016/j.jfranklin.2017.12.003
    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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