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    Multiobjective Weighting Selection for Optimization-Based Control Design

    Source: Journal of Dynamic Systems, Measurement, and Control:;2000:;volume( 122 ):;issue: 003::page 567
    Author:
    Ricardo H. C. Takahashi
    ,
    Juan F. Camino
    ,
    Pedro L. D. Peres
    ,
    Douglas E. Zampieri
    DOI: 10.1115/1.1286627
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: A methodology for the multiobjective design of controllers is presented, motivated by the problem of designing an active suspension controller. This problem has, as a particular feature, the possibility of being defined with two design variables only. The multiobjective controller is searched inside the space of “optimal controllers” defined by a weighted cost functional. The weightings are taken as the optimization variables for the multiobjective design. The method leads to (local) Pareto-optimal solutions and allows the direct specification of controller constraints in terms of some primary objectives which are taken into account in the multiobjective search. [S0022-0434(00)01403-9]
    keyword(s): Control equipment , Design , Optimization AND Functions ,
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      Multiobjective Weighting Selection for Optimization-Based Control Design

    URI
    https://yetl.yabesh.ir/yetl1/handle/yetl/123443
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    • Journal of Dynamic Systems, Measurement, and Control

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    contributor authorRicardo H. C. Takahashi
    contributor authorJuan F. Camino
    contributor authorPedro L. D. Peres
    contributor authorDouglas E. Zampieri
    date accessioned2017-05-09T00:02:00Z
    date available2017-05-09T00:02:00Z
    date copyrightSeptember, 2000
    date issued2000
    identifier issn0022-0434
    identifier otherJDSMAA-26270#567_1.pdf
    identifier urihttp://yetl.yabesh.ir/yetl/handle/yetl/123443
    description abstractA methodology for the multiobjective design of controllers is presented, motivated by the problem of designing an active suspension controller. This problem has, as a particular feature, the possibility of being defined with two design variables only. The multiobjective controller is searched inside the space of “optimal controllers” defined by a weighted cost functional. The weightings are taken as the optimization variables for the multiobjective design. The method leads to (local) Pareto-optimal solutions and allows the direct specification of controller constraints in terms of some primary objectives which are taken into account in the multiobjective search. [S0022-0434(00)01403-9]
    publisherThe American Society of Mechanical Engineers (ASME)
    titleMultiobjective Weighting Selection for Optimization-Based Control Design
    typeJournal Paper
    journal volume122
    journal issue3
    journal titleJournal of Dynamic Systems, Measurement, and Control
    identifier doi10.1115/1.1286627
    journal fristpage567
    journal lastpage569
    identifier eissn1528-9028
    keywordsControl equipment
    keywordsDesign
    keywordsOptimization AND Functions
    treeJournal of Dynamic Systems, Measurement, and Control:;2000:;volume( 122 ):;issue: 003
    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