• DocumentCode
    3285772
  • Title

    Internal quadratic invariance and decentralized control

  • Author

    Lessard, L. ; Lall, S.

  • Author_Institution
    Dept. of Aeronaut. & Astronaut., Stanford Univ., Stanford, CA, USA
  • fYear
    2010
  • fDate
    June 30 2010-July 2 2010
  • Firstpage
    5596
  • Lastpage
    5601
  • Abstract
    For decentralized control systems with quadratically invariant information constraints, the set of achievable closed-loop maps is affine, and thus the associated minimum-norm controller synthesis problem is amenable to a convex programming approach. In this paper, we show that a strictly broader class of problems we call internally quadratically invariant, also yields an affine set of achievable closed-loop maps. We treat systems represented by rational as well as proper rational transfer functions and present an illustrative example.
  • Keywords
    closed loop systems; control system synthesis; convex programming; decentralised control; transfer functions; closed-loop maps; convex programming; decentralized control; internal quadratic invariance control; internally quadratically invariant; minimum-norm controller synthesis; quadratically invariant information constraint; rational transfer function; Centralized control; Control system synthesis; Control systems; Distributed control; Optimal control; Q measurement; Quadratic programming; Routing; Subspace constraints; Transfer functions;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    American Control Conference (ACC), 2010
  • Conference_Location
    Baltimore, MD
  • ISSN
    0743-1619
  • Print_ISBN
    978-1-4244-7426-4
  • Type

    conf

  • DOI
    10.1109/ACC.2010.5531024
  • Filename
    5531024