• DocumentCode
    2856944
  • Title

    A  New Adaptive Performance Feedback Control Scheduling Model Oriented to the Embedded Soft Real-Time Systems

  • Author

    He, Xianbo ; Li, Zhishu ; Tang, Ningjiu

  • Author_Institution
    Comput. Coll., Sichuan Univ., Chengdu
  • fYear
    2008
  • fDate
    29-31 July 2008
  • Firstpage
    369
  • Lastpage
    374
  • Abstract
    The running characteristics of tasks are uncertain in an unpredictable environment. So the workload of a soft real-time system is time varying, too. An adaptive performance control model which combines the PID and fuzzy feedback technologies is presented. When the system performance deviation is lower than the threshold value, the adaptive feedback control technology based PID is adopted , or the adaptive fuzzy feedback technology is used. Meanwhile,we introduce the fuzzy control decision table instead of fuzzy reference computation to reduce CPU computation overhead in fuzzy feedback control. The result of simulation test shows that the fuzzy-PID feedback control model needs much less time to reach steady state than that of the adaptive PID performance control model when the actual system workload dramatically and abruptly varies.
  • Keywords
    adaptive control; control engineering computing; decision tables; embedded systems; feedback; fuzzy control; scheduling; three-term control; time-varying systems; PID; adaptive performance feedback control scheduling model; decision table; embedded soft real-time system; fuzzy feedback control; fuzzy reference computation; time varying system; Adaptive control; Computational modeling; Feedback control; Fuzzy control; Fuzzy systems; Programmable control; Real time systems; System performance; Three-term control; Time varying systems; CPU utilization; Fuzzy feedback control; PID; deadline missing ratio;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Embedded Software and Systems Symposia, 2008. ICESS Symposia '08. International Conference on
  • Conference_Location
    Sichuan
  • Print_ISBN
    978-0-7695-3288-2
  • Type

    conf

  • DOI
    10.1109/ICESS.Symposia.2008.93
  • Filename
    4627188