• DocumentCode
    2250657
  • Title

    Observer base linear quadratic regulation with estimated state feedback control

  • Author

    Hwang, Chi-kuang ; Huang, Kun-shu ; Lin, Kuo-bin ; Lee, Bore-kuen

  • Author_Institution
    Dept. of Electr. Eng., Chung Hua Univ., Hsinchu, Taiwan
  • Volume
    6
  • fYear
    2010
  • fDate
    11-14 July 2010
  • Firstpage
    2802
  • Lastpage
    2805
  • Abstract
    For the continuous infinite horizon time-invariant linear quadratic regulator problem (LQR), in the paper, the optimal state feedback controller based on the estimated state of the observer can be decoupled by the proposed approach which resulting one continuous time algebraic Riccati equation (CARE) for the controller design and one matrix equality equation (MEE) for the observer design. A coupling term related the CARE of the controller is found to be existed in the MEE of the observer. Unlike the separate principle to design the controller and observer separately without any coupling term, the design of the observer should consider the coupling term related to the CARE of the controller. The coupling problem between the controller and the observer usually exists in the linear matrix inequality (LMI) approach, and it is the main problem to be solved. The two-stage scheme is popular in the LMI approach, and the proposed method is similar to it, but adopting equality instead of inequality.
  • Keywords
    Riccati equations; control system synthesis; infinite horizon; linear matrix inequalities; linear quadratic control; observers; state feedback; CARE; continuous infinite horizon time-invariant; continuous time algebraic Riccati equation; controller design; linear matrix inequality; linear quadratic regulator problem; matrix equality equation; observer base linear quadratic regulation; observer design; optimal state feedback controller; Couplings; Equations; Filtering; Irrigation; Observers; Reliability theory; State feedback; ARE; LQR; Observer base; Two-Stage;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Machine Learning and Cybernetics (ICMLC), 2010 International Conference on
  • Conference_Location
    Qingdao
  • Print_ISBN
    978-1-4244-6526-2
  • Type

    conf

  • DOI
    10.1109/ICMLC.2010.5580791
  • Filename
    5580791