• DocumentCode
    183752
  • Title

    Mode scheduling under dwell time constraints in switched-mode systems

  • Author

    Hale, M. ; Wardi, Y.

  • Author_Institution
    Sch. of Electr. & Comput. Eng., Georgia Inst. of Technol., Atlanta, GA, USA
  • fYear
    2014
  • fDate
    4-6 June 2014
  • Firstpage
    3954
  • Lastpage
    3959
  • Abstract
    This paper presents an algorithmic technique for optimal mode scheduling in switched-mode dynamical systems under the constraint of a minimum dwell time. The technique is based on an optimal control formulation of the problem and on narrowing the optimality gap associated with the maximum principle. It consists of the following four successive steps: (i) solving the relaxed optimal control problem; (ii) approximating the relaxed solution by a switched-mode control; (iii) modifying the switched-mode schedule to incorporate the dwell-time constraints; and (iv) improving on the solution obtained in (iii) by further modifying the switching times of the modes. The main innovations of the paper are in the incorporation of the dwell-time constraints in step (iii), and in combining all four steps in a coherent framework. Despite the growing literature on switched-mode optimal control there hardly have emerged general-purpose algorithms which address dwell-time constraints. This paper presents an initial study of our proposed approach and demonstrates its efficacy via simulation examples while deferring theoretical studies to future research.
  • Keywords
    approximation theory; maximum principle; scheduling; time-varying systems; algorithmic technique; maximum principle; minimum dwell time constraints; optimal mode scheduling; optimality gap; relaxed optimal control problem; switched-mode dynamical systems; switched-mode optimal control; switching times; Approximation algorithms; Equations; Optimal control; Schedules; Switches; Time factors; Optimal control; Optimization algorithms; Switched systems;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    American Control Conference (ACC), 2014
  • Conference_Location
    Portland, OR
  • ISSN
    0743-1619
  • Print_ISBN
    978-1-4799-3272-6
  • Type

    conf

  • DOI
    10.1109/ACC.2014.6858763
  • Filename
    6858763