• DocumentCode
    2670581
  • Title

    The convergence of parameter estimates and the real structure information of plant are both unnecessary for a general self-tuning control system - Arbitrary deterministic plant

  • Author

    Zhang, Weicun ; Li, Qing ; Xu, Yinmei ; Feng, Tao

  • Author_Institution
    Sch. of Autom. Sci. & Electr. Eng., Univ. of Sci. & Technol. Beijing, Beijing, China
  • fYear
    2012
  • fDate
    23-25 May 2012
  • Firstpage
    2012
  • Lastpage
    2018
  • Abstract
    This paper is concerned with the stability and convergence of a general deterministic self-tuning control (STC) system, which consists of arbitrary control strategy and arbitrary estimation algorithm. The plant may be linear or non-linear, time-invariant or time varying. The conditions required for global stability and convergence are relaxed, i.e., the convergence of parameter estimates and the real structure information of plant are both removed. It is therefore argued that external excitation signal is not necessary for deterministic STC system. In other words, feedback information of STC system itself is sufficient to achieve the control objective (regulation or tracking). The key point is that with the help of Virtual Equivalent System (VES) concept, the original nonlinear dominant (nonlinear in structure) problem of STC is converted to a linear dominant (linear in structure) problem-deterministic slow switching control system.
  • Keywords
    adaptive control; convergence; feedback; linear systems; nonlinear control systems; parameter estimation; self-adjusting systems; stability; time-varying systems; tracking; STC system; VES; arbitrary control strategy; arbitrary estimation algorithm; control objective; convergence; deterministic self-tuning control system; deterministic slow switching control system; feedback information; global stability; linear dominant problem; linear plant; nonlinear dominant problem; nonlinear plant; parameter estimation; plant real structure information; regulation; time-invariant plant; time-varying plant; tracking; virtual equivalent system; Adaptive control; Convergence; Estimation; Stability criteria; Switches; convergence; deterministic self-tuning control; slow switching; stability; virtual equivalent system;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control and Decision Conference (CCDC), 2012 24th Chinese
  • Conference_Location
    Taiyuan
  • Print_ISBN
    978-1-4577-2073-4
  • Type

    conf

  • DOI
    10.1109/CCDC.2012.6244324
  • Filename
    6244324