• DocumentCode
    728654
  • Title

    A Lebesgue-Stieltjes framework for optimal control and allocation

  • Author

    Ross, I. Michael ; Karpenko, Mark ; Proulx, Ronald J.

  • Author_Institution
    Control & Optimization, Naval Postgrad. Sch., Monterey, CA, USA
  • fYear
    2015
  • fDate
    1-3 July 2015
  • Firstpage
    5599
  • Lastpage
    5604
  • Abstract
    A Lebesgue-Stieltjes optimal control framework is used as the basis for constructing deterministic controls for uncertain systems. The framework is motivated by large uncertainties that occur in the next generation of aerospace systems. Instead of designing new feedback controls that may be expensive to implement, this paper addresses the problem at the outer-loop level by reshaping the input subject to the constraints of the inner loop. Computations based on the combination of a hyper-pseudospectral method verified by Monte Carlo simulations demonstrate the efficacy of the ideas. Ground test results at Honeywell validate the operational readiness of the proposed concepts.
  • Keywords
    Monte Carlo methods; aerospace control; optimal control; uncertain systems; Lebesgue-Stieltjes optimal control framework; Monte Carlo simulations; aerospace systems; deterministic controls; hyper-pseudospectral method; inner loop; optimal allocation; outer-loop level; uncertain systems; uncertainties; Mathematical model; Monte Carlo methods; Optimal control; Space vehicles; Standards; Trajectory; Uncertainty;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    American Control Conference (ACC), 2015
  • Conference_Location
    Chicago, IL
  • Print_ISBN
    978-1-4799-8685-9
  • Type

    conf

  • DOI
    10.1109/ACC.2015.7172216
  • Filename
    7172216