Parameter identification in a respiratory control system model with delay

F. Hartung, J. Turi

Research output: Chapter in Book/Report/Conference proceedingChapter

1 Citation (Scopus)

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.

Original languageEnglish
Title of host publicationMathematical Modeling and Validation in Physiology
Subtitle of host publicationApplications to the Cardiovascular and Respiratory Systems
PublisherSpringer Verlag
Pages105-118
Number of pages14
ISBN (Print)9783642328817
DOIs
Publication statusPublished - 2013

Publication series

NameLecture Notes in Mathematics
Volume2064
ISSN (Print)0075-8434

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ASJC Scopus subject areas

  • Algebra and Number Theory

Cite this

Hartung, F., & Turi, J. (2013). Parameter identification in a respiratory control system model with delay. In Mathematical Modeling and Validation in Physiology: Applications to the Cardiovascular and Respiratory Systems (pp. 105-118). (Lecture Notes in Mathematics; Vol. 2064). Springer Verlag. https://doi.org/10.1007/978-3-642-32882-46