• Login
    View Item 
    •   DSpace Home
    • ASME
    • Journal of Computational and Nonlinear Dynamics
    • View Item
    •   DSpace Home
    • ASME
    • Journal of Computational and Nonlinear Dynamics
    • View Item
    JavaScript is disabled for your browser. Some features of this site may not work without it.

    Comparison of Poincaré Normal Forms and Floquet Theory for Analysis of Linear Time Periodic Systems

    Thumbnail
    View/Open
    cnd_016_01_014502.pdf (932.5Kb)
    Date
    2020
    Author
    Subramanian, Susheelkumar C.
    Redkar, Sangram
    Metadata
    Show full item record
    Abstract
    In this work, the authors draw comparisons between the Floquet theory and Normal Forms technique and apply them towards the investigation of stability bounds for linear time periodic systems. Though the Normal Forms technique has been predominantly used for the analysis of nonlinear equations, in this work, the authors utilize it to transform a linear time periodic system to a time-invariant system, similar to the Lyapunov–Floquet (L–F) transformation. The authors employ an intuitive state augmentation technique, modal transformation, and near identity transformations to facilitate the application of time-independent Normal Forms. This method provides a closed form analytical expression for the state transition matrix (STM). Additionally, stability analysis is performed on the transformed system and the comparative results of dynamical characteristics and temporal variations of a simple linear Mathieu equation are also presented in this work.
    URI
    http://yetl.yabesh.ir/yetl1/handle/yetl/4276412
    Collections
    • Journal of Computational and Nonlinear Dynamics

    DSpace software copyright © 2002-2015  DuraSpace
    Contact Us | Send Feedback
    Theme by 
    @mire NV
     

     

    Browse

    All of DSpaceCommunities & CollectionsBy Issue DateAuthorsTitlesSubjectsThis CollectionBy Issue DateAuthorsTitlesSubjects

    My Account

    LoginRegister

    Statistics

    View Usage Statistics

    DSpace software copyright © 2002-2015  DuraSpace
    Contact Us | Send Feedback
    Theme by 
    @mire NV