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.