Skip to main content
SpringerLink
Log in

Adaptive Model Control Applied to Real-Time Blood-Pressure Regulation

  • Chapter
Pattern Recognition and Machine Learning

Abstract

A real-time computer-control system for regulating the blood pressure of an animal in a prolonged state of shock has been successfully developed and is being theoretically analyzed. The computer controls the rate of infusion of a vaso-constrictor drug inputed to the animal, and monitors the blood-pressure output. An adaptive model of the animal’s drug response is used to derive the required input for control of future blood-pressure values. A transversal-filter model is used, and control is derived by forward-time calculation including the known internal states of the model.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Log in via an institution
Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 99.00
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 129.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. K. S. Narendra, and L. E. McBride, “Multiparameter Self-Optimizing Systems Using Correlation Techniques”, IEEE Transactions on Automatic Control, Vol. AC-9, No. 1, January 1964, p. 31.

    Article  Google Scholar 

  2. P. E. Mantey, “Convergent Automatic-Synthesis Procedures for Sampled-Data Networks with Feedback”, Stanford Electronics Laboratories, SEL-64-112, TR 6773-1, Stanford, Calif., Oct. 1964.

    Google Scholar 

  3. F. D. Powell, “Predictive Adaptive Control”, IEEE Transactions on Automatic Control, Vol. AC-14, No. 5, October 1969, pp. 550–552.

    Article  Google Scholar 

  4. B. Widrow and M. E. Hoff, “Adaptive Switching Circuits,” 1960 IRE Wescon Convention Record, Part 4, pp. 96–104.

    Google Scholar 

  5. B. Widrow, “Adaptive Sampled-Data Systems,” Proceedings, 1st International Congress IFAC, Moscow, 1960, pp. 406–411.

    Google Scholar 

  6. J. Koford and G. Groner, “The Use of an Adaptive Threshold Element to Design a Linear Optimal Pattern Classifier,” IEEE Transactions on Information Theory, Vol. 11-12, No. 1, January 1966, pp. 42–50.

    Article  Google Scholar 

  7. B. Widrow, et. al., “Adaptive Antenna Systems,” Proceedings, IEEE, Vol. 55, No. 12, December 1967, pp. 2143–2159.

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Stanford University, Stanford, California, USA

    Bernard Widrow

Authors
  1. Bernard Widrow
    View author publications

    You can also search for this author in PubMed Google Scholar

Editor information

Editors and Affiliations

  1. School of Electrical Engineering, Purdue University, Lafayette, Indiana, USA

    K. S. Fu

Rights and permissions

Reprints and permissions

Copyright information

© 1971 Plenum Press, New York

About this chapter

Cite this chapter

Widrow, B. (1971). Adaptive Model Control Applied to Real-Time Blood-Pressure Regulation. In: Fu, K.S. (eds) Pattern Recognition and Machine Learning. Springer, Boston, MA. https://doi.org/10.1007/978-1-4615-7566-5_27

Download citation

  • DOI: https://doi.org/10.1007/978-1-4615-7566-5_27

  • Publisher Name: Springer, Boston, MA

  • Print ISBN: 978-1-4615-7568-9

  • Online ISBN: 978-1-4615-7566-5

  • eBook Packages: Springer Book Archive

Publish with us

Policies and ethics

Search

Navigation