• DocumentCode
    1415452
  • Title

    Co-design of predictive controllers for wireless network control

  • Author

    Irwin, George W. ; Chen, Jiann-Jong ; McKernan, A. ; Scanlon, William G.

  • Author_Institution
    Intell. Syst. & Control, Sch. of Electron., Electr. Eng. & Comput. Sci., Queens Univ. Belfast, Belfast, UK
  • Volume
    4
  • Issue
    2
  • fYear
    2010
  • fDate
    2/1/2010 12:00:00 AM
  • Firstpage
    186
  • Lastpage
    196
  • Abstract
    This study presents a co-design approach to wireless network control systems (WNCS). Experimental studies are carried out to identify and analyse the delays inherent in WNCS, with a new inverse Gaussian model for their statistical distribution proposed. Two different packet-based predictive control schemes are presented. One uses dynamic matrix control (DMC), the other is a linear quadratic (LQ) controller incorporating multiple observers. Lyapunov stability is derived using linear matrix inequalities (LMIs) for the multi-observer LQ control whereas Monte-Carlo simulation results on a cart-mounted inverted pendulum are presented to confirm the performance advantages of packet-based DMC. Finally, results from a real-time implementation of the multi-observer LQ controller are also presented.
  • Keywords
    Gaussian processes; Monte Carlo methods; control system analysis; delays; distributed control; linear matrix inequalities; linear quadratic control; predictive control; stability; statistical distributions; Lyapunov stability; Monte-Carlo simulation; cart mounted inverted pendulum; delay; dynamic matrix control; inverse Gaussian model; linear matrix inequalities; linear quadratic controller; multi-observer LQ control; predictive controller; statistical distribution; wireless network control system codesign;
  • fLanguage
    English
  • Journal_Title
    Control Theory & Applications, IET
  • Publisher
    iet
  • ISSN
    1751-8644
  • Type

    jour

  • DOI
    10.1049/iet-cta.2008.0542
  • Filename
    5410732