Please use this identifier to cite or link to this item: http://hdl.handle.net/1822/52952

TitleMultiple model SPGPC for blood pressure control
Author(s)Silva, Humberto A.
Maitelli, André L.
Leão, Celina Pinto
Seabra, Eurico
KeywordsBlood Pressure Control
Predictive Control
Multi-Model
Smith Predictor
Issue date2015
PublisherSCITEPRESS – Science and Technology Publications
CitationSilva, Humberto ; Maitelli, André ; Leão, Celina ; Seabra, Eurico. "Multiple model SPGPC for blood pressure control", Proceedings 12th International Conference on Informatics in Control, Automation and Robotics, ICINCO 2015; 21-23 July, Volume 1, pp. 563-568, Colmar, Alsace; France, 2015.
Abstract(s)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 desired blood pressure. Transfer function parameters can differ significantly between patients, and also time-dependent, the development of a suitable algorithm becomes desirable 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 control the blood pressure, despite the uncertainty related with delays, time constant, and gains associated.
TypeConference paper
URIhttp://hdl.handle.net/1822/52952
ISBN9789897581229
e-ISBN978-9-8975-8149-6
DOI10.5220/0005540805630568
Publisher versionhttps://www.scopus.com/record/display.uri?eid=2-s2.0-84943546553&origin=inward&txGid=158d3ae09d15c42cdf65b652c7b8603b
Peer-Reviewedyes
AccessRestricted access (UMinho)
Appears in Collections:CT2M - Publicações em atas de encontros científicos / Papers in conference proceedings

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