• DocumentCode
    2255461
  • Title

    On event-triggered and self-triggered control over sensor/actuator networks

  • Author

    Mazo, Manuel, Jr. ; Tabuada, Paulo

  • Author_Institution
    Dept. of Electr. Eng., Univ. of California at Los Angeles, Los Angeles, CA, USA
  • fYear
    2008
  • fDate
    9-11 Dec. 2008
  • Firstpage
    435
  • Lastpage
    440
  • Abstract
    Event-triggered and self-triggered control have been recently proposed as an alternative to the more traditional periodic execution of control tasks. The possibility of reducing the number of executions while guaranteeing desired levels of performance makes event-triggered and self-triggered control very appealing in the context of sensor/actuator networks. In this setting, reducing the number of times that a feedback control law is executed implies a reduction in transmissions and thus a reduction in energy expenditures. In this paper we introduce two novel distributed implementations of event-triggered and self-triggered policies over sensor/actuator networks and discuss their performance in terms of energy expenditure.
  • Keywords
    actuators; distributed sensors; feedback; energy expenditure; event-triggered control; feedback control law; self-triggered control; sensor-actuator networks; Actuators; Control systems; Data mining; Energy consumption; Feedback control; Frequency; Information analysis; Performance analysis; Sampling methods; Throughput;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Decision and Control, 2008. CDC 2008. 47th IEEE Conference on
  • Conference_Location
    Cancun
  • ISSN
    0191-2216
  • Print_ISBN
    978-1-4244-3123-6
  • Electronic_ISBN
    0191-2216
  • Type

    conf

  • DOI
    10.1109/CDC.2008.4739414
  • Filename
    4739414