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    Global Optimization Method for Continuous-Time Sensor Scheduling

    155240_28187_Woon_Rehbock_Loxton NDST.pdf (266.7Kb)
    Access Status
    Open access
    Authors
    Woon, Siew Fang
    Rehbock, Volker
    Loxton, Ryan
    Date
    2010
    Type
    Journal Article
    
    Metadata
    Show full item record
    Citation
    Woon, S.F. and Rehbock, V. and Loxton, R.C. 2010. Global Optimization Method for Continuous-Time Sensor Scheduling. Nonlinear Dynamics and Systems Theory. 10 (2): pp. 175-188.
    Source Title
    Nonlinear Dynamics and systems theory
    ISSN
    15628353
    School
    Department of Mathematics and Statistics
    Remarks

    Copyright © 2010 InforMath Publishing Group

    URI
    http://hdl.handle.net/20.500.11937/5750
    Collection
    • Curtin Research Publications
    Abstract

    We consider a situation in which several sensors are used to collect data for signal processing. Since operating multiple sensors simultaneously causes system interference, only one sensor can be active at any one time. The problem of scheduling the operation of the sensors to minimize signal estimation error is formulated as a discrete-valued optimal control problem. This problem cannot be solved using conventional optimization techniques. We instead transform it into an equivalent mixed discrete optimization problem. The transformed problem is then decomposed into a bi-level optimization problem, which is solved using a discrete filled function method in conjunction with a conventional optimal control algorithm. Numerical results show that our algorithm is robust, efficient, and reliable in attaining a near globally optimal solution.

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