• DocumentCode
    728634
  • Title

    Decentralized event-triggered control of networked systems-part 2: Containment control

  • Author

    Teng-Hu Cheng ; Zhen Kan ; Klotz, Justin R. ; Shea, John M. ; Dixon, Warren E.

  • Author_Institution
    Dept. of Mech. & Aerosp. Eng., Univ. of Florida, Gainesville, FL, USA
  • fYear
    2015
  • fDate
    1-3 July 2015
  • Firstpage
    5444
  • Lastpage
    5448
  • Abstract
    A decentralized event-triggered control scheme is developed for the containment control problem. An estimate-based decentralized controller is designed for each agent so that it is only required to communicate with neighboring agents at discrete event times. These events are determined by a decentralized trigger function that only requires local information. Different from conventional strategies, the developed control approach does not require continuous communication with local neighboring follower agents for state feedback, reducing communication bandwidth. The event-triggered approach is facilitated by developing a positive constant lower bound on the inter-event interval, which indicates Zeno behavior is avoided. A Lyapunov-based convergence analysis is provided to indicate asymptotic convergence of the developed strategy.
  • Keywords
    Lyapunov methods; control system synthesis; convergence; decentralised control; multi-agent systems; networked control systems; Lyapunov-based convergence analysis; asymptotic convergence; collaborative agents; containment control; containment control problem; decentralized event-triggered control; decentralized trigger function; estimate-based decentralized controller design; inter-event interval; networked systems; Convergence; Multi-agent systems; Radio frequency; Switches; Symmetric matrices; Topology;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    American Control Conference (ACC), 2015
  • Conference_Location
    Chicago, IL
  • Print_ISBN
    978-1-4799-8685-9
  • Type

    conf

  • DOI
    10.1109/ACC.2015.7172191
  • Filename
    7172191