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Authors: Humberto A. Silva 1 ; André Maitelli 2 ; Celina Leão 3 and Eurico Seabra 3

Affiliations: 1 Instituto Federal de Ciencia e Tecnologia do Rio Grande do Norte, Brazil ; 2 Universidade Federal do Rio Grande do Norte, Brazil ; 3 Escola de Engenharia da Universidade do Minho, Portugal

Keyword(s): Blood Pressure Control, Predictive Control, Multi-Model, Smith Predictor.

Related Ontology Subjects/Areas/Topics: Adaptive Signal Processing and Control ; Environmental Monitoring and Control ; Informatics in Control, Automation and Robotics ; Modeling, Analysis and Control of Discrete-event Systems ; Real-Time Systems Control ; Signal Processing, Sensors, Systems Modeling and Control

Abstract: Multiple model adaptive control procedures have been considered for a computer-based feedback system, which regulates the infusion rate of a drug (nitroprusside) in order to maintain the blood pressure as close as possible to the desirable value. Transfer function parameters can differ significantly between patients, and also time-dependent, so the development of a suitable algorithm becomes required not only for maintaining steady-state but also the transient specifications. In this paper, based on computer simulations, a multiple model adaptive control procedures show to be successfully applied to blood pressure control, despite the uncertainty related with delays, time constant and gains associated.

CC BY-NC-ND 4.0

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Paper citation in several formats:
Silva, H.; Maitelli, A.; Leão, C. and Seabra, E. (2015). Multiple Model SPGPC for Blood Pressure Control. In Proceedings of the 12th International Conference on Informatics in Control, Automation and Robotics - Volume 1: ICINCO; ISBN 978-989-758-122-9; ISSN 2184-2809, SciTePress, pages 563-568. DOI: 10.5220/0005540805630568

@conference{icinco15,
author={Humberto A. Silva. and André Maitelli. and Celina Leão. and Eurico Seabra.},
title={Multiple Model SPGPC for Blood Pressure Control},
booktitle={Proceedings of the 12th International Conference on Informatics in Control, Automation and Robotics - Volume 1: ICINCO},
year={2015},
pages={563-568},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005540805630568},
isbn={978-989-758-122-9},
issn={2184-2809},
}

TY - CONF

JO - Proceedings of the 12th International Conference on Informatics in Control, Automation and Robotics - Volume 1: ICINCO
TI - Multiple Model SPGPC for Blood Pressure Control
SN - 978-989-758-122-9
IS - 2184-2809
AU - Silva, H.
AU - Maitelli, A.
AU - Leão, C.
AU - Seabra, E.
PY - 2015
SP - 563
EP - 568
DO - 10.5220/0005540805630568
PB - SciTePress

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