• DocumentCode
    3009621
  • Title

    A unified algorithmic setting for signal-decoupling compensators and unknown-input observers

  • Author

    Marro, Giovanni ; Prattichizzo, Domenico ; Zattoni, Elena

  • Author_Institution
    Dipartimento di Elettronica Inf. e Sistemistica, Bologna Univ., Italy
  • Volume
    5
  • fYear
    2000
  • fDate
    2000
  • Firstpage
    4512
  • Abstract
    A standard geometric-type environment, where only the very basic tools of the geometric approach are used (those supported by well-settled and well-tested computational aids) enables the development of algorithms for numerous control and estimation problems in the discrete-time case. These are: measurable or previewed signal localization problems, perfect or almost perfect tracking (right inversion), and, by duality, perfect or almost perfect unknown input estimation with possible post-knowledge and input reconstruction (left inversion). It is also shown that the devices obtained (compensator and observer), that may be noncausal when specific stability requirements are not met, can be implemented as dynamical systems including finite-horizon convolutors or finite impulse response systems
  • Keywords
    compensation; discrete time systems; duality (mathematics); observers; signal sampling; stability; tracking; almost perfect tracking; almost perfect unknown input estimation; dynamical systems; finite impulse response systems; finite-horizon convolutors; input reconstruction; left inversion; measurable signal localization; previewed signal localization; right inversion; signal-decoupling compensators; unified algorithmic setting; unknown-input observers; Control system synthesis; Control systems; Fault detection; Finite impulse response filter; Lattices; Software algorithms; Software standards; Stability; Standards development; Vectors;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Decision and Control, 2000. Proceedings of the 39th IEEE Conference on
  • Conference_Location
    Sydney, NSW
  • ISSN
    0191-2216
  • Print_ISBN
    0-7803-6638-7
  • Type

    conf

  • DOI
    10.1109/CDC.2001.914620
  • Filename
    914620