• DocumentCode
    154454
  • Title

    LPV embedding of nonlinear compartmental systems with endogenous control

  • Author

    Casagrande, Daniele ; Krajewski, Wieslaw ; Viaro, Umberto

  • Author_Institution
    Dept. of Electr., Univ. of Udine, Udine, Italy
  • fYear
    2014
  • fDate
    2-5 Sept. 2014
  • Firstpage
    891
  • Lastpage
    896
  • Abstract
    Compartmental models are widely used in in many fields of science including pharmacokinetics, epidemiology, bioengineering, complexity theory, and even economics and the social sciences. The reason of such a success lies in their ability to describe the way materials or energies are transmitted among the compartments. Often, it is assumed that these exchanges depend linearly on the compartments. However, when a compartment exerts an inhibitory or stimulative action on the exchange rate between two other compartments, the related mass transfer is usually a nonlinear function of both the source and controlling compartment. This paper shows how, in many cases, the resulting nonlinear compartmental model can be embedded into a linear parameter varying (LPV) model, which allows us to exploit some recent results on LPV control. In particular, it is possible to design controllers that ensure stability under arbitrary parameter variations as well as point-wise optimal performance.
  • Keywords
    control system synthesis; linear systems; mass transfer; nonlinear control systems; LPV control; LPV embedding; bioengineering; complexity theory; controller design; economics; endogenous control; epidemiology; exchange rate; inhibitory action; linear parameter varying model; mass transfer; nonlinear compartmental model; nonlinear compartmental systems; nonlinear function; pharmacokinetics; point-wise optimal performance; social sciences; stimulative action; Biological system modeling; Control systems; Equations; Materials; Mathematical model; Stability analysis; Transfer functions;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Methods and Models in Automation and Robotics (MMAR), 2014 19th International Conference On
  • Conference_Location
    Miedzyzdroje
  • Print_ISBN
    978-1-4799-5082-9
  • Type

    conf

  • DOI
    10.1109/MMAR.2014.6957475
  • Filename
    6957475