Murray-Smith, D., Bradley, R., and Leith, D. (1993) Identifiability analysis and experimental design for simulation model validation. In: Maceri, F. and Iazeolla, G.G. (eds.) Proceedings of the 1992 EUROSIM Conference, Capri, Italy, 28th Sep - 4th Oct 1992. North Holland: Amsterdam, The Netherlands, pp. 15-20. ISBN 9780444893314
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A combination of identifiability analysis, careful application of test signal design methods and system identification techniques can provide a useful basis for attempting to understand the practical limitations of a given model structure. As well as allowing the information content of system response data to be maximised over the range of frequencies of interest for model validation purposes, the approach can highlight difficulties due to lack of measurements of particular variables and can indicate parameters which cannot be separated in the estimation process. This is illustrated through two applications. One of these involves a dynamic model of pulmonary gas-exchange processes and the use of a gas-exchange model for the non-invasive estimation of cardio-pulmonary quantities. The second application is concerned with the mathematical modelling of ahelicopter rotor system. An important conclusion from both the applications is that the measurement set may be as important as the assumed model structure when designing the best test input for the purposes of parameter estimation and simulation model validation.
|Item Type:||Book Sections|
|Keywords:||Identifiability, simulation, mathematical model,experimental design, pulmonary gas-exchange, helicopter, rotor|
|Glasgow Author(s) Enlighten ID:||Murray-Smith, Professor David|
|Authors:||Murray-Smith, D., Bradley, R., and Leith, D.|
|Subjects:||Q Science > QA Mathematics > QA76 Computer software|
Q Science > QP Physiology
T Technology > TJ Mechanical engineering and machinery
T Technology > TK Electrical engineering. Electronics Nuclear engineering
T Technology > TL Motor vehicles. Aeronautics. Astronautics
|College/School:||College of Science and Engineering > School of Engineering > Systems Power and Energy|
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