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    A New Computational Method for Optimizing Nonlinear Impulsive Systems

    164965_40641_DCDIS_paper.pdf (229.5Kb)
    Access Status
    Open access
    Authors
    Lin, Qun
    Loxton, Ryan
    Teo, Kok Lay
    Wu, Yong Hong
    Date
    2011
    Type
    Journal Article
    
    Metadata
    Show full item record
    Citation
    Lin, Qun and Loxton, Ryan and Teo, Kok Lay and Wu, Yong Hong. 2011. A New Computational Method for Optimizing Nonlinear Impulsive Systems. Dynamics of Continuous, Discrete and Impulsive Systems B. 18 (1): pp. 59-76.
    Source Title
    Dynamics of Continuous, Discrete and Impulsive Systems B
    ISSN
    1492-8760
    School
    Department of Mathematics and Statistics
    URI
    http://hdl.handle.net/20.500.11937/48414
    Collection
    • Curtin Research Publications
    Abstract

    In this paper, we consider a system that evolves by switching between several subsystems of ordinary differential equations. The switching mechanism is this system induces an instantaneous change in the system's state, which can be controlled through a set of decision parameters. We develop a new computational method, based on nonlinear programming, for optimizing the system parameters and the subsystem switching times. We then successfully apply this method to two interesting examples.

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