• DocumentCode
    3572679
  • Title

    Regularity and directional differentiability with respect to parameters of solutions to nonlinear switching systems

  • Author

    Jianxiong Ye ; Honglei Xu

  • Author_Institution
    Sch. of Energy & Power Eng., Huazhong Univ. of Sci. & Technol., Wuhan, China
  • fYear
    2014
  • Firstpage
    1267
  • Lastpage
    1272
  • Abstract
    Many physical systems and processes encompass several modes of operation with a different dynamical behavior in each mode. Switching systems provide a suitable mathematical model for such processes. It is well known that the continuous states of switching systems are often non-differentiable with respect to parameters at the switching instants. However, states at these instants are often involved in optimal control of switching systems, resulting in nonsmooth dynamic programming problems. Directional derivative plays an important role in optimization and control theory. In this paper, we explore the directional differentiability of solutions to a class of switching systems with respect to parameters. We present some basic properties for the switching systems, including non-Zenoness, existence and uniqueness of solution, and local Lipschitzean of solution with respect to parameters. On this basis, we assert the directional differentiability of the solution with respect to parameters and give the formula of the directional derivative.
  • Keywords
    differential equations; dynamic programming; nonlinear systems; optimal control; time-varying systems; continuous state; control theory; directional derivative; directional differentiability; dynamical behavior; existence; mathematical model; nonZenoness; nonlinear switching systems; nonsmooth dynamic programming problem; optimal control; optimization; regularity; solution local Lipschitzean; solution uniqueness; switching instants; Educational institutions; Optimal control; Optimization; Sensitivity; Switches; Switching systems; Vectors; Switching systems; calculus of variations; directional differentiability; local Lipschitz; sensitivity functions;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Control and Automation (WCICA), 2014 11th World Congress on
  • Type

    conf

  • DOI
    10.1109/WCICA.2014.7052902
  • Filename
    7052902