• DocumentCode
    2850443
  • Title

    Decentralized robust control via quadratically invariant model projection

  • Author

    Jong-Han Kim ; Lall, S. ; Merrill, W. ; Behbahani, A.

  • Author_Institution
    Dept. of Aeronaut. & Astronaut., Stanford Univ., Stanford, CA, USA
  • fYear
    2011
  • fDate
    June 29 2011-July 1 2011
  • Firstpage
    527
  • Lastpage
    532
  • Abstract
    We propose a computational approach to systematically find decentralized H suboptimal controllers for general unstructured models. Exploiting the quadratically in variant model projection and the classical robust control synthesis techniques, we show that the original nonconvex problem can be conservatively solved by a series of convex optimization problems.
  • Keywords
    H control; control system synthesis; decentralised control; optimisation; robust control; convex optimization problems; decentralized H suboptimal controllers; decentralized robust control; nonconvex problem; quadratically invariant model projection; robust control synthesis techniques; Centralized control; Computational modeling; Convergence; Convex functions; Distributed control; Optimization; Robust control;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    American Control Conference (ACC), 2011
  • Conference_Location
    San Francisco, CA
  • ISSN
    0743-1619
  • Print_ISBN
    978-1-4577-0080-4
  • Type

    conf

  • DOI
    10.1109/ACC.2011.5991006
  • Filename
    5991006