In this work, a nonlinear model is developed to simulate the respiratory system of neonatal infants. The nonlinear model is based on a model proposed by other researchers, but with varying parameters based on the oxygen saturation output [1]. The nonlinear model response is compared to the response of a linearized model given small and large step inputs. For small step sizes, the nonlinear and linear models responses are nearly identical. For larger step sizes, the nonlinear model has a higher steady state response. The linear and nonlinear models are also compared to clinical data taken from a bedside monitor. An error model is also developed given known ranges for model parameter variations. Since the varying parameters change performance, a robust controller is designed using the error model and performance specifications using a μ-synthesis optimization. The controller is shown to have robust stability and performance.
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ASME 2009 Dynamic Systems and Control Conference
October 12–14, 2009
Hollywood, California, USA
Conference Sponsors:
- Dynamic Systems and Control Division
ISBN:
978-0-7918-4893-7
PROCEEDINGS PAPER
Modeling and Control of the Oxygen Saturation in Neonatal Infants
Timothy Keim
,
Timothy Keim
University of Missouri, Columbia, MO
Search for other works by this author on:
Ramak Amjad
,
Ramak Amjad
University of Missouri SOM, Columbia, MO
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Roger Fales
Roger Fales
University of Missouri, Columbia, MO
Search for other works by this author on:
Timothy Keim
University of Missouri, Columbia, MO
Ramak Amjad
University of Missouri SOM, Columbia, MO
Roger Fales
University of Missouri, Columbia, MO
Paper No:
DSCC2009-2682, pp. 105-112; 8 pages
Published Online:
September 16, 2010
Citation
Keim, T, Amjad, R, & Fales, R. "Modeling and Control of the Oxygen Saturation in Neonatal Infants." Proceedings of the ASME 2009 Dynamic Systems and Control Conference. ASME 2009 Dynamic Systems and Control Conference, Volume 2. Hollywood, California, USA. October 12–14, 2009. pp. 105-112. ASME. https://doi.org/10.1115/DSCC2009-2682
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