• DocumentCode
    1365564
  • Title

    Lyapunov stability of two-dimensional digital filters with overflow nonlinearities

  • Author

    Liu, Derong

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Stevens Inst. of Technol., Hoboken, NJ, USA
  • Volume
    45
  • Issue
    5
  • fYear
    1998
  • fDate
    5/1/1998 12:00:00 AM
  • Firstpage
    574
  • Lastpage
    577
  • Abstract
    In this paper, the second method of Lyapunov is utilized to establish sufficient conditions for the global asymptotic stability of the trivial solution of zero-input two-dimensional (2-D) Fornasini-Marchesini state-space digital filters which are endowed with a general class of overflow nonlinearities. Results for the global asymptotic stability of the null solution of the 2-D Fornasini-Marchesini second model with overflow nonlinearities are established. Several classes of Lyapunov functions are used in establishing the present results, including vector norms and the quadratic form. When the quadratic form Lyapunov functions are considered, the present results involve necessary and sufficient conditions under which positive definite matrices can be used to generate Lyapunov functions for 2-D digital filters with overflow nonlinearities
  • Keywords
    Lyapunov methods; asymptotic stability; filtering theory; matrix algebra; state-space methods; two-dimensional digital filters; 2D Fornasini-Marchesini filters; Lyapunov stability; global asymptotic stability; null solution; overflow nonlinearities; positive definite matrices; quadratic form; two-dimensional digital filters; vector norms; zero-input 2D state-space digital filters; Cellular networks; Cellular neural networks; Circuits; Digital filters; Lyapunov method; Neural networks; Nonlinear control systems; Region 4; Region 5; Region 8;
  • fLanguage
    English
  • Journal_Title
    Circuits and Systems I: Fundamental Theory and Applications, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1057-7122
  • Type

    jour

  • DOI
    10.1109/81.668870
  • Filename
    668870