• DocumentCode
    581412
  • Title

    H∞ networked control with multiple packet dropouts

  • Author

    Yang, Fuwen ; Han, Qing-Long

  • Author_Institution
    Centre for Intell. & Networked Syst., Central Queensland Univ., Rockhampton, QLD, Australia
  • fYear
    2012
  • fDate
    25-28 Oct. 2012
  • Firstpage
    3188
  • Lastpage
    3193
  • Abstract
    In this paper, we present a novel iterative LMI approach to deal with the control problem for networked control systems (NCSs) with multiple packet dropouts. Two channel packet dropouts are simultaneously considered due to limited communication capacity. One is measurement channel packet dropout which is from the sensor to the controller. The other is control channel packet dropout which is from the controller to the actuator. The NCSs with both multiple measurement and control packet dropouts are first modeled as a stochastic parameter system which contains two independent Bernoulli distributed white sequences. A dynamic output controller is then designed to exponentially stabilize the networked system in the sense of mean square, and also achieve the prescribed H∞ disturbance attenuation level. An iterative algorithm is developed to compute the optimal H∞ disturbance attenuation and the controller parameters by solving the semi-definite programming problem via interior-point approach. Finally, two illustrative examples are provided to show the applicability of the proposed method.
  • Keywords
    H∞ control; iterative methods; linear matrix inequalities; stochastic systems; Bernoulli distributed white sequences; H infinity networked control; channel packet dropouts; communication capacity; control channel packet dropout; dynamic output controller; iterative LMI approach; iterative algorithm; measurement channel packet dropout; multiple packet dropouts; networked control system; optimal H infinity disturbance attenuation level; semidefinite programming problem; stochastic parameter system; Actuators; Attenuation; Attenuation measurement; Delay; Educational institutions; Optimized production technology; Stochastic processes;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    IECON 2012 - 38th Annual Conference on IEEE Industrial Electronics Society
  • Conference_Location
    Montreal, QC
  • ISSN
    1553-572X
  • Print_ISBN
    978-1-4673-2419-9
  • Electronic_ISBN
    1553-572X
  • Type

    conf

  • DOI
    10.1109/IECON.2012.6389388
  • Filename
    6389388