• DocumentCode
    2478974
  • Title

    Event-predictive control for energy saving of wireless networked control system

  • Author

    Iino, Yutaka ; Hatanaka, Takeshi ; Fujita, Masayuki

  • Author_Institution
    Dept. of Mech. & Control Eng., Tokyo Inst. of Technol., Tokyo, Japan
  • fYear
    2009
  • fDate
    10-12 June 2009
  • Firstpage
    2236
  • Lastpage
    2242
  • Abstract
    This paper discusses on a new concept of event-predictive control, which is an extension of the event-triggered control. The aim of the research is to apply such asynchronous sampling control strategy to a wireless networked control system to save battery energy consumption in the wireless nodes. The key idea is to maximize the control interval, under the condition of appropriate control performance, to save communication energy cost for battery life of wireless network nodes incorporated in the control system. A heuristic new concept of ldquopredictive eventrdquo is introduced which is pre-determined as a cross-point of future predictive response of the controlled system and the stable region trajectory named ldquoadmissible set trajectoryrdquo to ensure recoverability to stable region. Then the sleep and wake mode of the wireless node is controlled according to the predictive events. Some considerations on stability condition are discussed, which is extendable to a class of nonlinear plants under some assumptions. A numerical example is illustrated to show the effectiveness of the proposed method.
  • Keywords
    control engineering computing; nonlinear control systems; predictive control; sampled data systems; stability; wireless sensor networks; asynchronous sampling control strategy; battery energy consumption; event-predictive control; event-triggered control; nonlinear plant; sensor network; stability condition; wireless network node battery life; wireless networked control system; Batteries; Communication system control; Control systems; Costs; Energy consumption; Networked control systems; Sampling methods; Stability; Trajectory; Wireless networks;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    American Control Conference, 2009. ACC '09.
  • Conference_Location
    St. Louis, MO
  • ISSN
    0743-1619
  • Print_ISBN
    978-1-4244-4523-3
  • Electronic_ISBN
    0743-1619
  • Type

    conf

  • DOI
    10.1109/ACC.2009.5160732
  • Filename
    5160732