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
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