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
Link To Document :
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