• DocumentCode
    1344073
  • Title

    H filtering of 2-D discrete systems

  • Author

    Du, Chunling ; Xie, Lihua ; Soh, Yeng Chai

  • Author_Institution
    Sch. of Electr. & Electron. Eng., Nanyang Technol. Univ., Singapore
  • Volume
    48
  • Issue
    6
  • fYear
    2000
  • fDate
    6/1/2000 12:00:00 AM
  • Firstpage
    1760
  • Lastpage
    1768
  • Abstract
    This paper deals with H filtering of two-dimensional (2-D) linear discrete systems described by a 2-D local state-space (LSS) Fornasini-Marchesini (1978) second model. Several versions of the bounded real lemma of the 2-D discrete systems are established. The 2-D bounded real lemma allows us to solve the finite horizon and infinite horizon H filtering problems using a Riccati difference equation or a Riccati inequality approach. Further a solution to the infinite horizon H filtering problem based on a linear matrix inequality (LMI) approach is developed. Our results extend existing work for one-dimensional (1-D) systems to the 2-D case and give a state-space solution to the bounded realness of 2-D discrete systems as well as 2-D H filtering for the first time. Numerical examples are given to demonstrate the Riccati difference equation approach to the 2-D finite horizon H filtering problem and the LMI approach to the 2-D infinite horizon H filtering problem
  • Keywords
    H optimisation; discrete systems; filtering theory; matrix algebra; 1D systems; 2D bounded real lemma; 2D discrete systems; 2D local state-space model; Fornasini-Marchesini second model; Riccati difference equation; Riccati inequality; finite horizon H filtering; infinite horizon H filtering; linear discrete systems; linear matrix inequality; state-space solution; Difference equations; Estimation error; Filtering algorithms; Infinite horizon; Kalman filters; Linear matrix inequalities; Nonlinear filters; Power system modeling; Riccati equations; Two dimensional displays;
  • fLanguage
    English
  • Journal_Title
    Signal Processing, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1053-587X
  • Type

    jour

  • DOI
    10.1109/78.845933
  • Filename
    845933