DocumentCode :
1740728
Title :
Grey box adaptive control of cardiac output
Author :
Casas, Fernando ; Timmons, William D. ; De Abreu-García, Jose A. ; Rittgers, Stanley E.
Author_Institution :
BIOMEC Inc., Cleveland, OH, USA
Volume :
2
fYear :
2000
fDate :
2000
Firstpage :
1595
Abstract :
Grey-box adaptive control (GBAC), i.e. the use of parameter-constrained identification with adaptive control, was compared against standard black-box adaptive control (BBAC) for the automated infusion of dobutamine (DOB) to raise and regulate cardiac output (CO). Using a benchmark cardiovascular model, tests compared the controllers for a chronic heart failure simulated patient under five different anaesthetics and five noise levels. Under quiescent conditions, when parameter constraints were not needed, there were no differences between the controllers. In the challenging cases, GBAC not only significantly (p<0.05) outperformed BBAC in almost all performance measures but demonstrated its robustness by successfully handling disturbances that repeatedly impaired BBAC. These results indicate that, when needed, GBAC rejected disturbances better, enhanced steady-state regulation and generated a smaller CO variation than BBAC
Keywords :
biocontrol; cardiovascular system; identification; model reference adaptive control systems; noise; predictive control; robust control; anaesthesia; automated dobutamine infusion; benchmark cardiovascular model; black-box adaptive control; cardiac output control; chronic heart failure; disturbance rejection; grey-box adaptive control; model predictive control; noise levels; parameter-constrained identification; performance measures; quiescent conditions; robustness; simulated patient; steady-state regulation; Adaptive control; Anesthesia; Automatic control; Automation; Cardiology; Heart; Noise level; Noise robustness; Predictive models; Steady-state;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Engineering in Medicine and Biology Society, 2000. Proceedings of the 22nd Annual International Conference of the IEEE
Conference_Location :
Chicago, IL
ISSN :
1094-687X
Print_ISBN :
0-7803-6465-1
Type :
conf
DOI :
10.1109/IEMBS.2000.898050
Filename :
898050
Link To Document :
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