DocumentCode
358856
Title
Neuron model-free control of drug infusion rate
Author
Zhang, Jianming ; Wang, Shuqing ; Wang, Ning
Author_Institution
Res. Inst. of Ind. Process Control, Zhejiang Univ., Hangzhou, China
Volume
5
fYear
2000
fDate
2000
Firstpage
2977
Abstract
Investigates the use of adaptive neuron model-free control techniques for automatic control of mean arterial pressure (MAP) through the intravenous infusion of sodium nitroprusside (SNP). Because the transfer function parameters are different for each patient and furthermore are variable with time, an adaptive algorithm is desirable for maintaining both stead-state and transient specifications. A neuron model-free control method is proposed for blood pressure regulation in the paper. One of its outstanding advantages is that the neuron controller generates the control signal not based on a plant model, but on learning of the inputs and outputs of the process. The computer simulations have shown that the incremental neuron model-free control procedures might be successfully applied the control of blood pressure despite the uncertainty in the delays, time constant and gains
Keywords
Hebbian learning; adaptive control; biocontrol; digital simulation; drug delivery systems; haemodynamics; neurocontrollers; pressure control; transfer functions; adaptive neuron model-free control techniques; blood pressure regulation; drug infusion rate; intravenous infusion; mean arterial pressure; neuron controller; sodium nitroprusside; Adaptive algorithm; Adaptive control; Automatic control; Blood pressure; Drugs; Neurons; Pressure control; Programmable control; Signal generators; Transfer functions;
fLanguage
English
Publisher
ieee
Conference_Titel
American Control Conference, 2000. Proceedings of the 2000
Conference_Location
Chicago, IL
ISSN
0743-1619
Print_ISBN
0-7803-5519-9
Type
conf
DOI
10.1109/ACC.2000.879111
Filename
879111
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