• DocumentCode
    1005715
  • Title

    Mixed H2/H filtering for uncertain systems with regional pole assignment

  • Author

    Yang, Fuwen ; Wang, Zidong ; Hung, Y.S. ; Shu, Huisheng

  • Author_Institution
    Dept. of Inf. Syst. & Comput., Brunel Univ., Uxbridge, UK
  • Volume
    41
  • Issue
    2
  • fYear
    2005
  • fDate
    4/1/2005 12:00:00 AM
  • Firstpage
    438
  • Lastpage
    448
  • Abstract
    The mixed H2/H filtering problem for uncertain linear continuous-time systems with regional pole assignment is considered. The purpose of the problem is to design an uncertainty-independent filter such that, for all admissible parameter uncertainties, the following filtering requirements are simultaneously satisfied: 1) the filtering process is asymptotically stable; 2) the poles of the filtering matrix are located inside a prescribed region that compasses the vertical strips, horizontal strips, disks, or conic sectors; 3) both the H2 norm and the H norm on the respective transfer functions are not more than the specified upper bound constraints. We establish a general framework to solve the addressed multiobjective filtering problem completely. In particular, we derive necessary and sufficient conditions for the solvability of the problem in terms of a set of feasible linear matrix inequalities (LMIs). An illustrative example is given to illustrate the design procedures and performances of the proposed method.
  • Keywords
    Kalman filters; continuous time filters; filtering theory; linear matrix inequalities; pole assignment; uncertain systems; H norm; H2 norm; asymptotically stable; conic sectors; disks; filtering matrix poles; filtering process; filtering requirements; horizontal strips; linear matrix inequalities; mixed H2/H filtering; multiobjective filtering; parameter uncertainties; regional pole assignment; transfer functions; uncertain linear continuous-time systems; uncertainty-independent filter; upper bound constraints; vertical strips; Control engineering; Estimation error; Filtering; Information systems; Kalman filters; Linear matrix inequalities; Nonlinear filters; State estimation; Strips; Uncertain systems;
  • fLanguage
    English
  • Journal_Title
    Aerospace and Electronic Systems, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9251
  • Type

    jour

  • DOI
    10.1109/TAES.2005.1468739
  • Filename
    1468739