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    Optimal Nonlinear Estimation of Linear Stochastic Systems: The Multivariable Extension

    Source: Journal of Dynamic Systems, Measurement, and Control:;1996:;volume( 118 ):;issue: 002::page 350
    Author:
    M. A. Hopkins
    ,
    H. F. VanLandingham
    DOI: 10.1115/1.2802328
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: This paper extends to multi-input multi-output (MIMO) systems a nonlinear method of simultaneous parameter and state estimation that appeared in the ASME JDSM&C (September, 1994), for single-input single-output (SISO) systems. The method is called pseudo-linear identification (PLID), and applies to stochastic linear time-invariant discrete-time systems. No assumptions are required about pole or zero locations; nor about relative degree, except that the system transfer functions must be strictly proper. In the earlier paper, proofs of optimality and convergence were given. Extensions of those proofs to the MIMO case are also given here.
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      Optimal Nonlinear Estimation of Linear Stochastic Systems: The Multivariable Extension

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    https://yetl.yabesh.ir/yetl1/handle/yetl/116690
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    contributor authorM. A. Hopkins
    contributor authorH. F. VanLandingham
    date accessioned2017-05-08T23:49:42Z
    date available2017-05-08T23:49:42Z
    date copyrightJune, 1996
    date issued1996
    identifier issn0022-0434
    identifier otherJDSMAA-26224#350_1.pdf
    identifier urihttp://yetl.yabesh.ir/yetl/handle/yetl/116690
    description abstractThis paper extends to multi-input multi-output (MIMO) systems a nonlinear method of simultaneous parameter and state estimation that appeared in the ASME JDSM&C (September, 1994), for single-input single-output (SISO) systems. The method is called pseudo-linear identification (PLID), and applies to stochastic linear time-invariant discrete-time systems. No assumptions are required about pole or zero locations; nor about relative degree, except that the system transfer functions must be strictly proper. In the earlier paper, proofs of optimality and convergence were given. Extensions of those proofs to the MIMO case are also given here.
    publisherThe American Society of Mechanical Engineers (ASME)
    titleOptimal Nonlinear Estimation of Linear Stochastic Systems: The Multivariable Extension
    typeJournal Paper
    journal volume118
    journal issue2
    journal titleJournal of Dynamic Systems, Measurement, and Control
    identifier doi10.1115/1.2802328
    journal fristpage350
    journal lastpage353
    identifier eissn1528-9028
    treeJournal of Dynamic Systems, Measurement, and Control:;1996:;volume( 118 ):;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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