• 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