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    Mixed Additive/Multiplicative Hâˆ‍ Model Reduction

    Source: Journal of Dynamic Systems, Measurement, and Control:;2013:;volume( 135 ):;issue: 005::page 51005
    Author:
    Chow, Yin
    ,
    Hu, Yue
    ,
    Li, Xianwei
    ,
    Kominek, Andreas
    ,
    Lam, James
    DOI: 10.1115/1.4024111
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: In this paper, the problem of mixed additive/multiplicative model reduction for stable linear continuoustime systems is studied. To deal with nonsquare or nonminimum phase systems, the multiplicative error bound is constructed using spectral factorization technique. By virtue of the bounded real lemma and the projection lemma, a linear matrix inequality approach is proposed for mixed additive/multiplicative Hâˆ‍ model reduction, which can be implemented by the wellknown cone complementary linearization method. Finally, two numerical examples are provided to demonstrate the effectiveness and advantages of the obtained results.
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      Mixed Additive/Multiplicative Hâˆ‍ Model Reduction

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    http://yetl.yabesh.ir/yetl1/handle/yetl/151345
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    contributor authorChow, Yin
    contributor authorHu, Yue
    contributor authorLi, Xianwei
    contributor authorKominek, Andreas
    contributor authorLam, James
    date accessioned2017-05-09T00:57:28Z
    date available2017-05-09T00:57:28Z
    date issued2013
    identifier issn0022-0434
    identifier otherds_135_05_051005.pdf
    identifier urihttp://yetl.yabesh.ir/yetl/handle/yetl/151345
    description abstractIn this paper, the problem of mixed additive/multiplicative model reduction for stable linear continuoustime systems is studied. To deal with nonsquare or nonminimum phase systems, the multiplicative error bound is constructed using spectral factorization technique. By virtue of the bounded real lemma and the projection lemma, a linear matrix inequality approach is proposed for mixed additive/multiplicative Hâˆ‍ model reduction, which can be implemented by the wellknown cone complementary linearization method. Finally, two numerical examples are provided to demonstrate the effectiveness and advantages of the obtained results.
    publisherThe American Society of Mechanical Engineers (ASME)
    titleMixed Additive/Multiplicative Hâˆ‍ Model Reduction
    typeJournal Paper
    journal volume135
    journal issue5
    journal titleJournal of Dynamic Systems, Measurement, and Control
    identifier doi10.1115/1.4024111
    journal fristpage51005
    journal lastpage51005
    identifier eissn1528-9028
    treeJournal of Dynamic Systems, Measurement, and Control:;2013:;volume( 135 ):;issue: 005
    contenttypeFulltext
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    yabeshDSpacePersian
     
    DSpace software copyright © 2002-2015  DuraSpace
    نرم افزار کتابخانه دیجیتال "دی اسپیس" فارسی شده توسط یابش برای کتابخانه های ایرانی | تماس با یابش
    yabeshDSpacePersian