YaBeSH Engineering and Technology Library

    • Journals
    • PaperQuest
    • YSE Standards
    • YaBeSH
    • Login
    View Item 
    •   YE&T Library
    • ASME
    • Journal of Dynamic Systems, Measurement, and Control
    • View Item
    •   YE&T Library
    • ASME
    • Journal of Dynamic Systems, Measurement, and Control
    • View Item
    • All Fields
    • Source Title
    • Year
    • Publisher
    • Title
    • Subject
    • Author
    • DOI
    • ISBN
    Advanced Search
    JavaScript is disabled for your browser. Some features of this site may not work without it.

    Archive

    Reduced-Order Model Parameterization for Uncertain LTI SISO Systems

    Source: Journal of Dynamic Systems, Measurement, and Control:;2024:;volume( 146 ):;issue: 005::page 51004-1
    Author:
    Ansari, Roghaiyeh
    ,
    Leonessa, Alexander
    ,
    Abaid, Nicole
    DOI: 10.1115/1.4065648
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: The primary goal of this paper is to develop a formal foundation to design an adaptive output feedback predictor for a class of unknown systems where parameters and order are unknown or high-dimensional. We present a reduced-order adaptive output-predictor scheme based on modal reduction and Lyapunov's method. Moreover, the credibility of the proposed reduced-order adaptive output-predictor scheme is validated by mathematical proof and numerical studies.
    • Download: (1.462Mb)
    • Show Full MetaData Hide Full MetaData
    • Get RIS
    • Item Order
    • Go To Publisher
    • Price: 5000 Rial
    • Statistics

      Reduced-Order Model Parameterization for Uncertain LTI SISO Systems

    URI
    http://yetl.yabesh.ir/yetl1/handle/yetl/4302810
    Collections
    • Journal of Dynamic Systems, Measurement, and Control

    Show full item record

    contributor authorAnsari, Roghaiyeh
    contributor authorLeonessa, Alexander
    contributor authorAbaid, Nicole
    date accessioned2024-12-24T18:49:19Z
    date available2024-12-24T18:49:19Z
    date copyright6/29/2024 12:00:00 AM
    date issued2024
    identifier issn0022-0434
    identifier otherds_146_05_051004.pdf
    identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4302810
    description abstractThe primary goal of this paper is to develop a formal foundation to design an adaptive output feedback predictor for a class of unknown systems where parameters and order are unknown or high-dimensional. We present a reduced-order adaptive output-predictor scheme based on modal reduction and Lyapunov's method. Moreover, the credibility of the proposed reduced-order adaptive output-predictor scheme is validated by mathematical proof and numerical studies.
    publisherThe American Society of Mechanical Engineers (ASME)
    titleReduced-Order Model Parameterization for Uncertain LTI SISO Systems
    typeJournal Paper
    journal volume146
    journal issue5
    journal titleJournal of Dynamic Systems, Measurement, and Control
    identifier doi10.1115/1.4065648
    journal fristpage51004-1
    journal lastpage51004-11
    page11
    treeJournal of Dynamic Systems, Measurement, and Control:;2024:;volume( 146 ):;issue: 005
    contenttypeFulltext
    DSpace software copyright © 2002-2015  DuraSpace
    نرم افزار کتابخانه دیجیتال "دی اسپیس" فارسی شده توسط یابش برای کتابخانه های ایرانی | تماس با یابش
    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