• DocumentCode
    3171462
  • Title

    Switching time optimization in discretized hybrid dynamical systems

  • Author

    Flasskamp, Kathrin ; Murphey, Todd ; Ober-Blobaum, Sina

  • Author_Institution
    Dept. of Math., Univ. of Paderborn, Paderborn, Germany
  • fYear
    2012
  • fDate
    10-13 Dec. 2012
  • Firstpage
    707
  • Lastpage
    712
  • Abstract
    Switching time optimization (STO) arises in systems that have a finite set of control modes, where a particular mode can be chosen to govern the system evolution at any given time. The STO problem has been extensively studied for switched systems that consists of time continuous ordinary differential equations with switching laws. However, it is rare that an STO problem can be solved analytically, leading to the use of numerical approximation using time discretized approximations of trajectories. Unlike the smooth optimal control problem, where differentiability of the discrete time control problem is inherited from the continuous time problem, in this contribution we show that the STO problem will in general be nondifferentiable in discrete time. Nevertheless, at times when it is differentiable the derivative can be computed using adjoint equations and when it is nondifferentiable the left and right derivatives can be computed using the same adjoint equation. We illustrate the results by a hybrid model of a double pendulum.
  • Keywords
    differential equations; discrete time systems; nonlinear dynamical systems; optimisation; pendulums; STO problem; adjoint equations; continuous time problem; discrete time control problem; discretized hybrid dynamical systems; double pendulum; numerical approximation; smooth optimal control problem; switched; switching laws; switching time optimization; system evolution; time continuous ordinary differential equations; time discretized approximations; Approximation methods; Cost function; Equations; Switches; Trajectory; Vectors;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Decision and Control (CDC), 2012 IEEE 51st Annual Conference on
  • Conference_Location
    Maui, HI
  • ISSN
    0743-1546
  • Print_ISBN
    978-1-4673-2065-8
  • Electronic_ISBN
    0743-1546
  • Type

    conf

  • DOI
    10.1109/CDC.2012.6426414
  • Filename
    6426414