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    A new computational strategy for optimal control problem with a cost on changing control

    Access Status
    Open access via publisher
    Authors
    Wang, Y.
    Yu, C.
    Teo, Kok Lay
    Date
    2016
    Type
    Journal Article
    
    Metadata
    Show full item record
    Citation
    Wang, Y. and Yu, C. and Teo, K.L. 2016. A new computational strategy for optimal control problem with a cost on changing control. Numerical Algebra, Control and Optimization. 6 (3): pp. 339-364.
    Source Title
    Numerical Algebra, Control and Optimization
    DOI
    10.3934/naco.2016016
    ISSN
    2155-3289
    School
    Department of Mathematics and Statistics
    URI
    http://hdl.handle.net/20.500.11937/63536
    Collection
    • Curtin Research Publications
    Abstract

    © 2016 American Institute of Mathematical Sciences. All rights reserved.In this paper, we consider a class of optimal control problems where the cost function is the sum of the terminal cost, the integral cost and the full variation of control. Here, the full variation of a control is defined as the sum of the total variations of its components. By using the control parameterization technique in conjunction with the time scaling transformation, we develop a new computational algorithm for solving this type of optimal control problem. Rigorous convergence analysis is provided for the new method. For illustration, we solve two numerical examples to show the effectiveness of the proposed method.

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