• DocumentCode
    2465834
  • Title

    Systematization of Approaches to Adaptive Boundary Stabilization of PDEs

  • Author

    Krstic, Miroslav

  • Author_Institution
    Dept. of Mech. & Aerosp. Eng., California Univ., San Diego, CA
  • fYear
    2006
  • fDate
    13-15 Dec. 2006
  • Firstpage
    1105
  • Lastpage
    1110
  • Abstract
    While adaptive control of finite dimensional systems is an advanced field that has produced adaptive control methods for a very general class of LTI systems, adaptive control techniques have been developed for only a few of the classes of PDEs for which non-adaptive controllers exist. We present a catalog of approaches for the design of adaptive controllers for PDEs controlled from a boundary and containing unknown destabilizing parameters affecting the interior of the domain. We differentiate between two major classes of schemes: Lyapunov schemes and certainty equivalence schemes. Within the certainty equivalence class, two types of identifier designs are pursued: passivity-based and swapping designs. Each of those designs is applicable to two types of parametrizations: the plant model in its original form (which we refer to as the "u-model") and a transformed model to which a backstepping transformation has been applied (which we refer to as the "w-model"). Hence, a large number of control algorithms result from combining different design tools - Lyapunov schemes, w-passive schemes, u-swapping schemes, etc. Our method builds upon the explicitly parametrized control formulae that we introduced in our earlier work on non-adaptive backstepping control for PDEs. These formulae allow us to develop tunable controllers that avoid solving Riccati or Bezout equations at each time step
  • Keywords
    Lyapunov methods; adaptive control; distributed parameter systems; partial differential equations; stability; Lyapunov scheme; adaptive boundary stabilization; adaptive controller; backstepping transformation; certainty equivalence; control algorithm; parametrization; parametrized control; partial differential equation; plant model; Adaptive control; Algorithm design and analysis; Backstepping; Control systems; Nonlinear equations; Open loop systems; Programmable control; Riccati equations; Uncertainty; Vehicle dynamics;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Decision and Control, 2006 45th IEEE Conference on
  • Conference_Location
    San Diego, CA
  • Print_ISBN
    1-4244-0171-2
  • Type

    conf

  • DOI
    10.1109/CDC.2006.377363
  • Filename
    4177135