• DocumentCode
    1662015
  • Title

    Maximally-diagonal solution to the inverse LQR problem

  • Author

    Aïoun, F. ; Heniche, A. ; Bourlès, H.

  • Author_Institution
    LURPA, ENS Cachen, France
  • Volume
    2
  • fYear
    1994
  • Firstpage
    1445
  • Abstract
    The inverse LQR problem is solved, using a convex optimization technique. The non-diagonal elements of the state weighting matrix are minimized, as opposed to the approaches existing in the literature. This minimization is very important from practical point of view
  • Keywords
    inverse problems; linear quadratic control; matrix algebra; minimisation; convex optimization technique; inverse LQR problem; maximally-diagonal solution; minimization; nondiagonal elements; state weighting matrix; Control systems; Inverse problems; Kalman filters; Laplace equations; Neutron spin echo; Regulators; Sufficient conditions; Symmetric matrices; Virtual manufacturing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Decision and Control, 1994., Proceedings of the 33rd IEEE Conference on
  • Conference_Location
    Lake Buena Vista, FL
  • Print_ISBN
    0-7803-1968-0
  • Type

    conf

  • DOI
    10.1109/CDC.1994.411243
  • Filename
    411243
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=1662015