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    Advances in System Identification Using Fractional Models

    Source: Journal of Computational and Nonlinear Dynamics:;2008:;volume( 003 ):;issue: 002::page 21401
    Author:
    Rachid Malti
    ,
    Stephane Victor
    ,
    Alain Oustaloup
    DOI: 10.1115/1.2833910
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: This paper presents an up to date advances in time-domain system identification using fractional models. Both equation-error- and output-error-based models are detailed. In the former models, prior knowledge is generally used to fix differentiation orders; model coefficients are estimated using least squares. The latter models allow simultaneous estimation of model coefficients and differentiation orders using nonlinear programing. As an example, a thermal system is identified using a fractional model and is compared to a rational one.
    keyword(s): Equations , Errors , Functions , Simulation AND Thermal systems ,
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      Advances in System Identification Using Fractional Models

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    https://yetl.yabesh.ir/yetl1/handle/yetl/137569
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    contributor authorRachid Malti
    contributor authorStephane Victor
    contributor authorAlain Oustaloup
    date accessioned2017-05-09T00:27:11Z
    date available2017-05-09T00:27:11Z
    date copyrightJanuary, 2008
    date issued2008
    identifier issn1555-1415
    identifier otherJCNDDM-24916#021401_1.pdf
    identifier urihttp://yetl.yabesh.ir/yetl/handle/yetl/137569
    description abstractThis paper presents an up to date advances in time-domain system identification using fractional models. Both equation-error- and output-error-based models are detailed. In the former models, prior knowledge is generally used to fix differentiation orders; model coefficients are estimated using least squares. The latter models allow simultaneous estimation of model coefficients and differentiation orders using nonlinear programing. As an example, a thermal system is identified using a fractional model and is compared to a rational one.
    publisherThe American Society of Mechanical Engineers (ASME)
    titleAdvances in System Identification Using Fractional Models
    typeJournal Paper
    journal volume3
    journal issue2
    journal titleJournal of Computational and Nonlinear Dynamics
    identifier doi10.1115/1.2833910
    journal fristpage21401
    identifier eissn1555-1423
    keywordsEquations
    keywordsErrors
    keywordsFunctions
    keywordsSimulation AND Thermal systems
    treeJournal of Computational and Nonlinear Dynamics:;2008:;volume( 003 ):;issue: 002
    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
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