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    Identification of Systems Described by Partial Differential Equations

    Source: Journal of Fluids Engineering:;1966:;volume( 088 ):;issue: 002::page 463
    Author:
    F. J. Perdreauville
    ,
    R. E. Goodson
    DOI: 10.1115/1.3645880
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: A method is given for the identification of distributed parameter systems. Normal operating records or experimental data may be used. The method involves the determination of arbitrary parameters in an assumed partial differential-equation model of the system. The method applies equally well to linear and nonlinear equations, and equations with varying coefficients. The accuracy of the results depends upon the exactness of the model, the amount of data used, the error in numerical integration, and the amount of noise which is present in the data. Examples are given which illustrate the application of the method. Results using the method for the identification of a physical system are given.
    keyword(s): Noise (Sound) , Differential equations , Distributed parameter systems , Equations , Errors , Nonlinear equations AND Partial differential equations ,
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      Identification of Systems Described by Partial Differential Equations

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    http://yetl.yabesh.ir/yetl1/handle/yetl/113646
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    • Journal of Fluids Engineering

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    contributor authorF. J. Perdreauville
    contributor authorR. E. Goodson
    date accessioned2017-05-08T23:44:19Z
    date available2017-05-08T23:44:19Z
    date copyrightJune, 1966
    date issued1966
    identifier issn0098-2202
    identifier otherJFEGA4-27277#463_1.pdf
    identifier urihttp://yetl.yabesh.ir/yetl/handle/yetl/113646
    description abstractA method is given for the identification of distributed parameter systems. Normal operating records or experimental data may be used. The method involves the determination of arbitrary parameters in an assumed partial differential-equation model of the system. The method applies equally well to linear and nonlinear equations, and equations with varying coefficients. The accuracy of the results depends upon the exactness of the model, the amount of data used, the error in numerical integration, and the amount of noise which is present in the data. Examples are given which illustrate the application of the method. Results using the method for the identification of a physical system are given.
    publisherThe American Society of Mechanical Engineers (ASME)
    titleIdentification of Systems Described by Partial Differential Equations
    typeJournal Paper
    journal volume88
    journal issue2
    journal titleJournal of Fluids Engineering
    identifier doi10.1115/1.3645880
    journal fristpage463
    journal lastpage468
    identifier eissn1528-901X
    keywordsNoise (Sound)
    keywordsDifferential equations
    keywordsDistributed parameter systems
    keywordsEquations
    keywordsErrors
    keywordsNonlinear equations AND Partial differential equations
    treeJournal of Fluids Engineering:;1966:;volume( 088 ):;issue: 002
    contenttypeFulltext
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