• DocumentCode
    2818189
  • Title

    Optimal control of systems with resource constraints

  • Author

    Görges, Daniel ; Izák, Michal ; Liu, Steven

  • Author_Institution
    Univ. of Kaiserslautern, Kaiserslautern
  • fYear
    2007
  • fDate
    12-14 Dec. 2007
  • Firstpage
    1070
  • Lastpage
    1075
  • Abstract
    In this paper optimal control of systems with constrained computation and communication resources is studied. The timing of real-time scheduling algorithms like rate monotonic scheduling and earliest deadline first scheduling is analyzed. It is shown that these scheduling algorithms lead to periodically varying sampling periods and time delays. Modeling of the resulting periodically time-varying systems is described and based on this, the design of a periodic linear quadratic regulator is presented. Applying the lifting technique, a time-invariant reformulation of the design problem is obtained. The regulator gains result from solving algebraic Riccati equations. To further improve control performance, a method which combines offline-scheduling and periodic control is proposed. The methods are illustrated by an example.
  • Keywords
    Riccati equations; constraint theory; control system synthesis; invariance; linear quadratic control; scheduling; time-varying systems; timing; algebraic Riccati equations; communication resources; earliest deadline first scheduling; lifting technique; offline-scheduling; optimal control; periodic control; periodic linear quadratic regulator design; periodic time-varying systems; rate monotonic scheduling; real-time scheduling algorithm timing; resource constraints; time-invariant reformulation; Algorithm design and analysis; Delay effects; Optimal control; Processor scheduling; Regulators; Riccati equations; Sampling methods; Scheduling algorithm; Time varying systems; Timing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Decision and Control, 2007 46th IEEE Conference on
  • Conference_Location
    New Orleans, LA
  • ISSN
    0191-2216
  • Print_ISBN
    978-1-4244-1497-0
  • Electronic_ISBN
    0191-2216
  • Type

    conf

  • DOI
    10.1109/CDC.2007.4434231
  • Filename
    4434231