• DocumentCode
    1196886
  • Title

    Qualitative experiment design in physiological system identification

  • Author

    Saccomani, Maria Pia ; Cobelli, Claudio

  • Author_Institution
    Dept. of Electron. & Inf., Padova Univ., Italy
  • Volume
    12
  • Issue
    6
  • fYear
    1992
  • Firstpage
    18
  • Lastpage
    23
  • Abstract
    A qualitative experiment design problem for identifying compartmental models of physiological systems from multi-input-multi-output tracer experiments is examined. Qualitative experiment design consists of selecting the sites of inputs and outputs, among those experimentally feasible, which guarantee a priori unique identifiability of model parameters. Using this method, a minimal input-output configuration that ensures a priori unique identifiability is defined. The problem is of practical relevance when dealing with physiological systems in which severe constraints exist on experiment design for both ethical and practical reasons. Fundamentals of physiological systems, tracer experiments, compartmental models, and a priori identifiability are discussed. As a case study, a ten-compartment model of leucine metabolism and the multi-input-output tracer experiment designed for its identification are described.<>
  • Keywords
    identification; multivariable systems; physiological models; MIMO tracer experiments; compartmental models; identifiability; identification; leucine metabolism; physiological system; qualitative experiment design; Amino acids; Biochemistry; Drugs; Equations; Mass production; Production systems; Steady-state; System identification; Time measurement; Volume measurement;
  • fLanguage
    English
  • Journal_Title
    Control Systems, IEEE
  • Publisher
    ieee
  • ISSN
    1066-033X
  • Type

    jour

  • DOI
    10.1109/37.168813
  • Filename
    168813