• DocumentCode
    3296982
  • Title

    H2 optimization for systems with adobe input delays: A loop shifting approach

  • Author

    Mirkin, Leonid ; Palmor, Zalman J. ; Shneiderman, Dmitry

  • Author_Institution
    Fac. of Mech. Eng., Technion - Israel Inst. of Technol., Haifa, Israel
  • fYear
    2009
  • fDate
    15-18 Dec. 2009
  • Firstpage
    257
  • Lastpage
    262
  • Abstract
    This paper studies the H2 optimization problem for systems with Adobe input delay. These are systems having only two (possibly vector) input channels: one is delay free and the other is delayed. We present a solution based on the reduction of the problem to an equivalent delay-free problem via simple loop shifting arguments. This results in a solution based on two standard algebraic Riccati equations, which are associated with the delay-free version of the problem. The optimal controller is in the dead-time compensator form. We also derive an explicit and transparent expression for the cost of delay and (in the case when the problem is solvable without the delayed channel) a numerically stable form of the optimal solution, which includes exponentials of Hurwitz matrices only. The approach is readily extendible to more general multiple input / output delay cases.
  • Keywords
    MIMO systems; Riccati equations; compensation; delays; optimal control; optimisation; Adobe input delays; H2 optimization problem; Hurwitz matrices; algebraic Riccati equations; dead time compensator form; loop shifting approach; optimal controller; Added delay; Control systems; Cost function; Delay effects; Delay systems; Differential equations; Eigenvalues and eigenfunctions; Optimal control; Partial differential equations; Riccati equations; H2 optimization; Time-delay systems; dead-time compensation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Decision and Control, 2009 held jointly with the 2009 28th Chinese Control Conference. CDC/CCC 2009. Proceedings of the 48th IEEE Conference on
  • Conference_Location
    Shanghai
  • ISSN
    0191-2216
  • Print_ISBN
    978-1-4244-3871-6
  • Electronic_ISBN
    0191-2216
  • Type

    conf

  • DOI
    10.1109/CDC.2009.5399736
  • Filename
    5399736