• DocumentCode
    116371
  • Title

    Convex synthesis and limitations of mean-square stabilizing controllers for MIMO systems over packet drop networks

  • Author

    Rich, Matt ; Elia, Nicola

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Iowa State Univ., Ames, IA, USA
  • fYear
    2014
  • fDate
    15-17 Dec. 2014
  • Firstpage
    6857
  • Lastpage
    6862
  • Abstract
    In this paper, we investigate synthesis of linear mean-square stabilizing controllers for multiple-input multiple-output (MIMO) discrete time linear systems over packet drop networks. We consider independent packet drop channels on both the actuator and sensor side of the controller. The main result of this paper is to show that, assuming a delayed acknowledgment from the actuator receiver is available to the controller, a pair of LMI feasibility problems can be used to obtain the mean-square stabilizing controller given fixed channels as well as numerically derive the limitations of mean-square stabilizability in terms of maximal dropout probabilities.
  • Keywords
    MIMO systems; actuators; convex programming; discrete time systems; linear matrix inequalities; stability; LMI feasibility problems; MIMO discrete time linear systems; actuator receiver; convex synthesis; fixed channels; independent packet drop channels; linear mean-square stabilizing controllers; maximal dropout probabilities; mean-square stabilizability; packet drop networks; Actuators; Closed loop systems; Fading; MIMO; Observers; Output feedback; State feedback;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Decision and Control (CDC), 2014 IEEE 53rd Annual Conference on
  • Conference_Location
    Los Angeles, CA
  • Print_ISBN
    978-1-4799-7746-8
  • Type

    conf

  • DOI
    10.1109/CDC.2014.7040466
  • Filename
    7040466