Parametric Sensitivity Analysis of a Multiple Model Adaptive Predictive Control for Regulation of Mean Arterial Blood Pressure

Humberto A. Silva, Celina P. Leão, Eurico A. Seabra

2018

Abstract

Postsurgical complication of hypertension may occur in cardiac patients. To decrease the chances of complication it is necessary to lower high blood pressure as soon as possible. Continuous infusion of vasodilator drugs, such as sodium nitroprusside (Nipride), would quickly lower the blood pressure in most patients. However, each patient has a different sensitivity to infusion of Nipride. The parameters and the time delays of the blood pressure control system are initially unknown. Moreover, the parameters of the transfer function associated with a particular patient change over time. The objective of the study is to develop a procedure for blood pressure control in the presence of uncertainty of parameters and considerable time delays. In this paper, a sensitivity analysis was performed, changing the parameter that controls the convergence rate of weight factors (V). The simulation results showed significant changes in settling time (Ts), stressing the importance of this parameter on the control model definition. Considering a V = 0.05 was obtained Ts = 195s and, for same patient, Ts = 510s by increasing the value to V = 0.4, with the Root Mean Square Error (RMSE) varying but always lower than 1%.

Paper Citation

in Harvard Style

Silva H., Leão C. and Seabra E. (2018). Parametric Sensitivity Analysis of a Multiple Model Adaptive Predictive Control for Regulation of Mean Arterial Blood Pressure.In Proceedings of the 15th International Conference on Informatics in Control, Automation and Robotics - Volume 1: ICINCO, ISBN 978-989-758-321-6, pages 510-516. DOI: 10.5220/0006909805100516

in Bibtex Style

@conference{icinco18,
author={Humberto A. Silva and Celina P. Leão and Eurico A. Seabra},
title={Parametric Sensitivity Analysis of a Multiple Model Adaptive Predictive Control for Regulation of Mean Arterial Blood Pressure},
booktitle={Proceedings of the 15th International Conference on Informatics in Control, Automation and Robotics - Volume 1: ICINCO,},
year={2018},
pages={510-516},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006909805100516},
isbn={978-989-758-321-6},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 15th International Conference on Informatics in Control, Automation and Robotics - Volume 1: ICINCO,
TI - Parametric Sensitivity Analysis of a Multiple Model Adaptive Predictive Control for Regulation of Mean Arterial Blood Pressure
SN - 978-989-758-321-6
AU - Silva H.
AU - Leão C.
AU - Seabra E.
PY - 2018
SP - 510
EP - 516
DO - 10.5220/0006909805100516