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    Optimal Boundary Control of Reaction–Diffusion Partial Differential Equations via Weak Variations

    Source: Journal of Dynamic Systems, Measurement, and Control:;2013:;volume( 135 ):;issue: 003::page 34501
    Author:
    Moura, Scott J.
    ,
    Fathy, Hosam K.
    DOI: 10.1115/1.4023071
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: This paper derives linear quadratic regulator (LQR) results for boundarycontrolled parabolic partial differential equations (PDEs) via weak variations. Research on optimal control of PDEs has a rich 40year history. This body of knowledge relies heavily on operator and semigroup theory. Our research distinguishes itself by deriving existing LQR results from a more accessible set of mathematics, namely weakvariational concepts. Ultimately, the LQR controller is computed from a Riccati PDE that must be derived for each PDE model under consideration. Nonetheless, a Riccati PDE is a significantly simpler object to solve than an operator Riccati equation, which characterizes most existing results. To this end, our research provides an elegant and accessible method for practicing engineers who study physical systems described by PDEs. Simulation examples, closedloop stability analyses, comparisons to alternative control methods, and extensions to other models are also included.
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      Optimal Boundary Control of Reaction–Diffusion Partial Differential Equations via Weak Variations

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    http://yetl.yabesh.ir/yetl1/handle/yetl/151308
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    contributor authorMoura, Scott J.
    contributor authorFathy, Hosam K.
    date accessioned2017-05-09T00:57:23Z
    date available2017-05-09T00:57:23Z
    date issued2013
    identifier issn0022-0434
    identifier otherds_135_3_034501.pdf
    identifier urihttp://yetl.yabesh.ir/yetl/handle/yetl/151308
    description abstractThis paper derives linear quadratic regulator (LQR) results for boundarycontrolled parabolic partial differential equations (PDEs) via weak variations. Research on optimal control of PDEs has a rich 40year history. This body of knowledge relies heavily on operator and semigroup theory. Our research distinguishes itself by deriving existing LQR results from a more accessible set of mathematics, namely weakvariational concepts. Ultimately, the LQR controller is computed from a Riccati PDE that must be derived for each PDE model under consideration. Nonetheless, a Riccati PDE is a significantly simpler object to solve than an operator Riccati equation, which characterizes most existing results. To this end, our research provides an elegant and accessible method for practicing engineers who study physical systems described by PDEs. Simulation examples, closedloop stability analyses, comparisons to alternative control methods, and extensions to other models are also included.
    publisherThe American Society of Mechanical Engineers (ASME)
    titleOptimal Boundary Control of Reaction–Diffusion Partial Differential Equations via Weak Variations
    typeJournal Paper
    journal volume135
    journal issue3
    journal titleJournal of Dynamic Systems, Measurement, and Control
    identifier doi10.1115/1.4023071
    journal fristpage34501
    journal lastpage34501
    identifier eissn1528-9028
    treeJournal of Dynamic Systems, Measurement, and Control:;2013:;volume( 135 ):;issue: 003
    contenttypeFulltext
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    DSpace software copyright © 2002-2015  DuraSpace
    نرم افزار کتابخانه دیجیتال "دی اسپیس" فارسی شده توسط یابش برای کتابخانه های ایرانی | تماس با یابش
    yabeshDSpacePersian