• DocumentCode
    2364910
  • Title

    Global observability and detectability analysis for a class of nonlinear models of biological processes with bad inputs

  • Author

    Schaum, Alexander ; Moreno, Jaime A. ; Vargas, Alejandro

  • Author_Institution
    Instituto de Ingenieria, UNAM, Mexico, Mexico
  • fYear
    2005
  • fDate
    7-9 Sept. 2005
  • Firstpage
    343
  • Lastpage
    346
  • Abstract
    This paper proposes a new general approach to the global analysis of observability and detectability for nonlinear systems. Based on the definition of indistinguishability it is possible to derive the dynamics of the non-observable part of the system and thus to study its stability properties using methods of nonlinear systems theory. The method is first introduced in general and then applied to a class of nonlinear models for biological processes as e.g. in waste water treatment. Finally detectability conditions for the reactor model are deduced.
  • Keywords
    bioreactors; nonlinear control systems; observability; stability; bad inputs; biological process nonlinear models; bioreactors; detectability analysis; global observability; indistinguishability; nonlinear systems theory; nonobservability; reactor model; waste water treatment; Biological processes; Biological system modeling; Bioreactors; Control systems; Inductors; Nonlinear dynamical systems; Nonlinear systems; Observability; Stability; Wastewater treatment; Bad Inputs; Bioreactors; Detectability; Indistinguishability; Observability Analysis;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electrical and Electronics Engineering, 2005 2nd International Conference on
  • Print_ISBN
    0-7803-9230-2
  • Type

    conf

  • DOI
    10.1109/ICEEE.2005.1529640
  • Filename
    1529640