• DocumentCode
    114563
  • Title

    Improved ℒ2-gain analysis for a class of hybrid systems with applications to reset and event-triggered control

  • Author

    van Loon, S.J.L.M. ; Heemels, W.P.M.H. ; Teel, A.R.

  • Author_Institution
    Dept. of Mech. Eng., Eindhoven Univ. of Technol., Eindhoven, Netherlands
  • fYear
    2014
  • fDate
    15-17 Dec. 2014
  • Firstpage
    1221
  • Lastpage
    1226
  • Abstract
    In this paper, we consider a special class of hybrid systems with periodic time-triggered jump conditions, and in which the jump map has a piecewise linear character. This hybrid systems class forms a relevant field of study as different control applications can be modeled in this hybrid system framework, including reset control and event-triggered control systems. After showing the unifying modeling character of this class of dynamical systems, we are interested in analyzing stability and ℒ2-gain properties and we present novel conditions to do so which are significantly less conservative than the existing ones in literature. The effectiveness of the proposed modeling and analysis techniques is illustrated by means of a reset control example.
  • Keywords
    control system analysis; optimisation; periodic control; piecewise linear techniques; stability; time-varying systems; ℒ2-gain properties; analysis technique; dynamical systems; event-triggered control system; hybrid systems; improved ℒ2-gain analysis; jump map; modeling technique; periodic time-triggered jump conditions; piecewise linear character; reset control system; stability analysis; unifying modeling character; Analytical models; Control systems; Convergence; Differential equations; Indium phosphide; Stability analysis; Symmetric matrices;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Decision and Control (CDC), 2014 IEEE 53rd Annual Conference on
  • Conference_Location
    Los Angeles, CA
  • Print_ISBN
    978-1-4799-7746-8
  • Type

    conf

  • DOI
    10.1109/CDC.2014.7039548
  • Filename
    7039548