• DocumentCode
    728239
  • Title

    Cooperative ℋ-estimation for large-scale interconnected linear systems

  • Author

    Jingbo Wu ; Ugrinovskii, Valery ; Allgower, Frank

  • Author_Institution
    Inst. for Syst. Theor. & Autom. Control, Univ. of Stuttgart, Stuttgart, Germany
  • fYear
    2015
  • fDate
    1-3 July 2015
  • Firstpage
    2119
  • Lastpage
    2124
  • Abstract
    In this paper, a synthesis method for distributed estimation is presented, which is suitable for dealing with large-scale interconnected linear systems with disturbance. The main feature of the proposed method is that local estimators only estimate a reduced set of state variables and their complexity does not increase with the size of the system. Nevertheless, the local estimators are able to deal with lack of local detectability. Moreover, the estimators guarantee ℋ-performance of the estimates with respect to model and measurement disturbances.
  • Keywords
    H control; control system synthesis; interconnected systems; large-scale systems; linear systems; ℋ-performance; cooperative ℋ-estimation; distributed estimation; large-scale interconnected linear systems; local detectability; measurement disturbances; state variables; synthesis method; Algorithm design and analysis; Complexity theory; Estimation; Integrated circuits; Kalman filters; Linear systems; Topology;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    American Control Conference (ACC), 2015
  • Conference_Location
    Chicago, IL
  • Print_ISBN
    978-1-4799-8685-9
  • Type

    conf

  • DOI
    10.1109/ACC.2015.7171046
  • Filename
    7171046