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    Obtaining Frequency-Domain Volterra Models From Port-Based Ordinary Differential Equations

    Source: Journal of Dynamic Systems, Measurement, and Control:;2012:;volume( 134 ):;issue: 004::page 41002
    Author:
    Eliot Motato
    ,
    Clark Radcliffe
    DOI: 10.1115/1.4006069
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: A frequency-domain Volterra model (FVM) is a nonlinear representation obtained when the multivariable Laplace transform is applied to a sum of multidimensional convolution integrals of increasing order. Two classes of FVMs can be identified. The first class of FVM is the Volterra transfer function (VTF) which has been recognized as a useful tool for nonlinear systems modeling and simulation. The second class of FVM is the Volterra dynamic model (VDM) which has been used in the modular assembly and condensation of port-based nonlinear models. Since physical nonlinear systems are frequently modeled using ordinary differential equations (ODEs), it is of significant value to derive their equivalent FVM representations from a corresponding ODE. Even though methods to obtain VTFs for multiple-input, multiple-output (MIMO) nonlinear ODEs are available, a general procedure to obtain the two classes of FVMs does not exist. In this work, a methodology to obtain the two classes of FVMs from port-based nonlinear ODEs is explained. Two cases are shown. In the first case, the ODEs do not include cross product nonlinearities. In the second case, cross products are included. An example is presented to clarify the idea, and the time response obtained from the nonlinear ODE model is compared to its corresponding third order VTF and its linearized model.
    keyword(s): Manufacturing , Simulation , Transfer functions , Differential equations , Modeling , Nonlinear systems , Equations , Functions , Laplace transforms , Condensation , Dynamic models , Engines AND Equilibrium (Physics) ,
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      Obtaining Frequency-Domain Volterra Models From Port-Based Ordinary Differential Equations

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    https://yetl.yabesh.ir/yetl1/handle/yetl/148464
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    • Journal of Dynamic Systems, Measurement, and Control

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    contributor authorEliot Motato
    contributor authorClark Radcliffe
    date accessioned2017-05-09T00:49:07Z
    date available2017-05-09T00:49:07Z
    date copyrightJuly, 2012
    date issued2012
    identifier issn0022-0434
    identifier otherJDSMAA-26589#041002_1.pdf
    identifier urihttp://yetl.yabesh.ir/yetl/handle/yetl/148464
    description abstractA frequency-domain Volterra model (FVM) is a nonlinear representation obtained when the multivariable Laplace transform is applied to a sum of multidimensional convolution integrals of increasing order. Two classes of FVMs can be identified. The first class of FVM is the Volterra transfer function (VTF) which has been recognized as a useful tool for nonlinear systems modeling and simulation. The second class of FVM is the Volterra dynamic model (VDM) which has been used in the modular assembly and condensation of port-based nonlinear models. Since physical nonlinear systems are frequently modeled using ordinary differential equations (ODEs), it is of significant value to derive their equivalent FVM representations from a corresponding ODE. Even though methods to obtain VTFs for multiple-input, multiple-output (MIMO) nonlinear ODEs are available, a general procedure to obtain the two classes of FVMs does not exist. In this work, a methodology to obtain the two classes of FVMs from port-based nonlinear ODEs is explained. Two cases are shown. In the first case, the ODEs do not include cross product nonlinearities. In the second case, cross products are included. An example is presented to clarify the idea, and the time response obtained from the nonlinear ODE model is compared to its corresponding third order VTF and its linearized model.
    publisherThe American Society of Mechanical Engineers (ASME)
    titleObtaining Frequency-Domain Volterra Models From Port-Based Ordinary Differential Equations
    typeJournal Paper
    journal volume134
    journal issue4
    journal titleJournal of Dynamic Systems, Measurement, and Control
    identifier doi10.1115/1.4006069
    journal fristpage41002
    identifier eissn1528-9028
    keywordsManufacturing
    keywordsSimulation
    keywordsTransfer functions
    keywordsDifferential equations
    keywordsModeling
    keywordsNonlinear systems
    keywordsEquations
    keywordsFunctions
    keywordsLaplace transforms
    keywordsCondensation
    keywordsDynamic models
    keywordsEngines AND Equilibrium (Physics)
    treeJournal of Dynamic Systems, Measurement, and Control:;2012:;volume( 134 ):;issue: 004
    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