Abstract
In this paper we study parameter identification issues by computational means for a set of nonlinear delay equations which have been proposed to model the dynamics of a simplified version of the respiratory control system. We design specific inputs for our system to produce “information rich” output data needed to determine values of unknown parameters. We also consider the effects of noisy measurements in the identification process. Several case studies are included.
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Acknowledgements
This research was partially supported by the National Science Foundation under grant DMS-0705247 (FH and JT) and by Hungarian NFSR Grant No. K101217 (FH).
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Hartung, F., Turi, J. (2013). Parameter Identification in a Respiratory Control System Model with Delay. In: Batzel, J., Bachar, M., Kappel, F. (eds) Mathematical Modeling and Validation in Physiology. Lecture Notes in Mathematics(), vol 2064. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-32882-4_6
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DOI: https://doi.org/10.1007/978-3-642-32882-4_6
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