• DocumentCode
    3627742
  • Title

    Discrete linear repetitive processes with smoothing

  • Author

    B. Cichy;K. Galkowski;E. Rogers;A. Kummert

  • Author_Institution
    Institute of Control and Computation Engineering, University of Zielona Gora, ul. Podg?rna 50, 65-246, Poland
  • fYear
    2007
  • fDate
    6/1/2007 12:00:00 AM
  • Firstpage
    95
  • Lastpage
    99
  • Abstract
    Repetitive processes are a distinct class of two-dimensional (2D) systems (i.e. information propagation in two independent directions occurs) of both systems theoretic and applications interest. They cannot be controlled by direct extension of existing techniques from either standard (termed 1D here) or (often) 2D systems theory. In this paper we continue the development of a control systems theory for discrete linear repetitive processes with inter-pass smoothing which is required to represent dynamics which arise in some applications areas but are not included in the models previously considered. The new results are on the stability analysis and the design of control laws for stabilization, including the case when there is uncertainty associated with the defining state-space model.
  • Keywords
    "Smoothing methods","Stability analysis","Uncertainty","Control systems","Iterative algorithms","Signal processing algorithms","Optimal control","Algorithm design and analysis","Lyapunov method","Linear matrix inequalities"
  • Publisher
    ieee
  • Conference_Titel
    Multidimensional (nD) Systems, 2007 International Workshop on
  • Print_ISBN
    978-1-4244-1111-5
  • Type

    conf

  • DOI
    10.1109/NDS.2007.4509554
  • Filename
    4509554