• DocumentCode
    2744772
  • Title

    On the Parameter Inference in Chaotic Chemical Systems

  • Author

    Lecca, Paola ; Palmisano, Alida

  • Author_Institution
    Centre for Comput. & Syst. Biol., Univ. of Trento, Trento, Italy
  • fYear
    2009
  • fDate
    25-27 Nov. 2009
  • Firstpage
    175
  • Lastpage
    180
  • Abstract
    In a deterministic conceptual framework the predictability of the time behavior of a system strongly depends of the exact knowledge of the initial conditions. Since the measures of the initial conditions are always affected by experimental uncertainties, the problem of the predictability of the system\´s behavior has to be reformulated and the concept of ``deterministic chaos" has to be introduced. The new question to be addressed concerns the possibility to identify and estimate the kinetic parameters governing the time-behavior of the presence of chaos in the experimental observations of deterministic dynamic systems. In this paper we first review the key features of chaotic dynamics, then we introduce a technique for estimating unknown and/or uncertain parameters of non-linear chemical systems. This method is demonstrated through the use of a well-known prototype of chaotic system: the three-variable autocatalator.
  • Keywords
    chaos; nonlinear dynamical systems; reaction kinetics; deterministic chaos; deterministic dynamic systems; initial condition; nonlinear chemical systems; parameter inference; predictability; three-variable autocatalator; Biological system modeling; Biology computing; Chaos; Chemicals; Differential equations; Kinetic theory; Nonlinear dynamical systems; Parameter estimation; Predictive models; Systems biology; deterministic chaos; parameter estimation; uncertain dynamics;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Modeling and Simulation, 2009. EMS '09. Third UKSim European Symposium on
  • Conference_Location
    Athens
  • Print_ISBN
    978-1-4244-5345-0
  • Electronic_ISBN
    978-0-7695-3886-0
  • Type

    conf

  • DOI
    10.1109/EMS.2009.58
  • Filename
    5358798