• DocumentCode
    2768401
  • Title

    A new look at the ∞-horizon linear-quadratic tracking problem

  • Author

    Barbieri, Enrique ; Alba-Flores, Rocio

  • Author_Institution
    Dept. of Electr. Eng., Tulane Univ., New Orleans, LA, USA
  • Volume
    4
  • fYear
    1998
  • fDate
    16-18 Dec 1998
  • Firstpage
    4444
  • Abstract
    The ∞-horizon tracking problem is considered from the point of view of the linear-quadratic optimal control framework. It is well known that this problem does not have a solution in the strict sense because in general the cost is unbounded. However, for applications where the reference signal is generated by an asymptotically stable system, the problem is well posed and enjoys a bounded cost. In other cases where the control interval [T-t0] is large, the design framework may still provide a suitable, implementable controller. Computationally, one term in the solution is found by solving an algebraic Riccati equation; and the second term involves an auxiliary function ν(t) found by solving a differential equation backward in time to determine ν(0) which is then used in the actual control run. The main contribution of this article is the development of a linear system of equations for ν(0) when T→∞. A simplification occurs for the scalar control of systems in the standard phase canonic (controllable) form. Two examples are included to illustrate the results
  • Keywords
    Riccati equations; asymptotic stability; control system synthesis; controllability; differential equations; linear quadratic control; nonlinear equations; tracking; ∞-horizon linear-quadratic tracking problem; LQ optimal control; algebraic Riccati equation; asymptotically stable system; auxiliary function; controllable form; differential equation; infinite-horizon tracking; linear system; linear-quadratic optimal control; phase canonic form; scalar control; Control systems; Cost function; Differential equations; Linear systems; Optimal control; Regulators; Riccati equations; State feedback; Steady-state; Symmetric matrices;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Decision and Control, 1998. Proceedings of the 37th IEEE Conference on
  • Conference_Location
    Tampa, FL
  • ISSN
    0191-2216
  • Print_ISBN
    0-7803-4394-8
  • Type

    conf

  • DOI
    10.1109/CDC.1998.762014
  • Filename
    762014