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    Optimal Control of Stochastic Parametrically and Externally Excited Nonlinear Control Systems

    Source: Journal of Dynamic Systems, Measurement, and Control:;1988:;volume( 110 ):;issue: 002::page 114
    Author:
    G. E. Young
    ,
    R. J. Chang
    DOI: 10.1115/1.3152660
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: A sub-optimal nonlinear controller which is synthesized by using the external linearization approach is applied to the optimal control of stochastic parametrically and externally excited nonlinear systems with complete state information. Algebraic necessary conditions are derived for the minimization of the quadratic cost function through the concepts of equivalent external excitation. The concepts and applications of the statistical linearization approach for the externally excited nonlinear systems are extended to the nonlinear systems subjected to both stochastic parametric and external excitations. Two examples which include a first-order nonlinear and a second-order Duffing type stochastic system are used to illustrate the performance of the present design. The applications of the statistical linearization approach to the optimal control of a stochastic parametrically and externally excited Duffing type system is illustrated and compared with the present approach by using Monte Carlo simulation.
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      Optimal Control of Stochastic Parametrically and Externally Excited Nonlinear Control Systems

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    http://yetl.yabesh.ir/yetl1/handle/yetl/103734
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    contributor authorG. E. Young
    contributor authorR. J. Chang
    date accessioned2017-05-08T23:26:53Z
    date available2017-05-08T23:26:53Z
    date copyrightJune, 1988
    date issued1988
    identifier issn0022-0434
    identifier otherJDSMAA-26102#114_1.pdf
    identifier urihttp://yetl.yabesh.ir/yetl/handle/yetl/103734
    description abstractA sub-optimal nonlinear controller which is synthesized by using the external linearization approach is applied to the optimal control of stochastic parametrically and externally excited nonlinear systems with complete state information. Algebraic necessary conditions are derived for the minimization of the quadratic cost function through the concepts of equivalent external excitation. The concepts and applications of the statistical linearization approach for the externally excited nonlinear systems are extended to the nonlinear systems subjected to both stochastic parametric and external excitations. Two examples which include a first-order nonlinear and a second-order Duffing type stochastic system are used to illustrate the performance of the present design. The applications of the statistical linearization approach to the optimal control of a stochastic parametrically and externally excited Duffing type system is illustrated and compared with the present approach by using Monte Carlo simulation.
    publisherThe American Society of Mechanical Engineers (ASME)
    titleOptimal Control of Stochastic Parametrically and Externally Excited Nonlinear Control Systems
    typeJournal Paper
    journal volume110
    journal issue2
    journal titleJournal of Dynamic Systems, Measurement, and Control
    identifier doi10.1115/1.3152660
    journal fristpage114
    journal lastpage119
    identifier eissn1528-9028
    treeJournal of Dynamic Systems, Measurement, and Control:;1988:;volume( 110 ):;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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