• DocumentCode
    1862444
  • Title

    Persistent excitation in bilinear systems

  • Author

    Dasgupta, Souta ; Shrivastava, Yash ; Krenzer, George

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Iowa Univ., Iowa City, IA, USA
  • fYear
    1989
  • fDate
    13-15 Dec 1989
  • Firstpage
    1956
  • Abstract
    Discrete-time, strongly observable bilinear systems are studied in order to obtain a condition on the system input which guarantees persistent excitation. The condition derived assumes that the system is fundamentally identifiable, i.e. the parameters to be estimated uniquely define the underlying input/output description. An algebraic characterization of lack of fundamental identifiability using multidimensional polynomials is also given
  • Keywords
    adaptive systems; discrete time systems; identification; linear systems; nonlinear systems; adaptive systems; algebraic characterization; bilinear systems; identification; linear systems; multidimensional polynomials; nonlinear systems; persistent excitation; Chemical processes; Convergence; Discrete time systems; Multidimensional systems; Nonlinear systems; Parameter estimation; Polynomials; Robots; Robustness; Vectors;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Decision and Control, 1989., Proceedings of the 28th IEEE Conference on
  • Conference_Location
    Tampa, FL
  • Type

    conf

  • DOI
    10.1109/CDC.1989.70506
  • Filename
    70506