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    Optimal control problems with stopping constraints

    231816_231816.pdf (2.156Mb)
    Access Status
    Open access
    Authors
    Lin, Qun
    Loxton, R.
    Teo, Kok Lay
    Wu, Yong Hong
    Date
    2015
    Type
    Journal Article
    
    Metadata
    Show full item record
    Citation
    Lin, Q. and Loxton, R. and Teo, K.L. and Wu, Y.H. 2015. Optimal control problems with stopping constraints. Journal of Global Optimization. 63 (4): pp. 835-861.
    Source Title
    Journal of Global Optimization
    DOI
    10.1007/s10898-015-0286-3
    ISSN
    0925-5001
    School
    Department of Mathematics and Statistics
    Remarks

    The final publication is available at Springer via http://doi.org/10.1007/s10898-015-0286-3

    URI
    http://hdl.handle.net/20.500.11937/32754
    Collection
    • Curtin Research Publications
    Abstract

    We consider a novel optimal control problem in which the terminal time is governed by a stopping constraint. This stopping constraint is a nonlinear equality constraint depending on the state variables, and the terminal time is defined as the first time at which this constraint is satisfied. Since the stopping constraint causes the terminal time to be an implicit function of the control, the optimal control problem we consider cannot be solved using conventional techniques. We propose a new computational approach that involves approximating the original problem by a standard optimal control problem with fixed terminal time. Our main result shows that this approximation, which depends on two adjustable parameters, can be made to arbitrarily high accuracy. On this basis, the original optimal control problem with stopping constraints can be transformed into a sequence of approximate problems, each of which can be solved readily using conventional optimal control techniques. We conclude the paper by demonstrating this approach with numerical simulations in three application areas: range maximization of a hang glider, range maximization of a hypersonic re-entry vehicle, and time-optimal control of a nuclear reactor.

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