Annals of Biomedical Engineering

, Volume 13, Issue 5, pp 341–357 | Cite as

The self-tuning controller: Comparison with human performance in the control of arterial pressure

  • Kenneth S. Stern
  • Howard J. Chizeck
  • Bruce K. Walker
  • P. S. Krishnaprasad
  • Paul J. Dauchot
  • Peter G. Katona


A self-tuning controller was implemented for the automated infusion of sodium nitroprusside to lower mean arterial pressure in anesthetized dogs. The system incorporated a recursive least-squares parameter identifier and a modified minimumvariance controller. The onset delay was estimated on-line, the performance criterion included the cost of control, and requested step-changes were automatically translated into five successive smaller steps to reduce overshoot. The performance of the system in lowering mean arterial pressure was quantitatively compared with that of a well-trained anesthesiologist. In 10 runs in four animals, the automated system performed as well as the physician who devoted 100% of his attention to the task. Since the stability of the self-tuning controller cannot be guaranteed, such a system should be operated only in the presence of appropriate supervisory algorithms.


Self-tuning controller Drug infusion Adaptive control Nitroprusside 


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Copyright information

© Pergamon Press Ltd. 1985

Authors and Affiliations

  • Kenneth S. Stern
    • 1
    • 2
  • Howard J. Chizeck
    • 1
    • 2
  • Bruce K. Walker
    • 1
    • 2
  • P. S. Krishnaprasad
    • 1
    • 2
  • Paul J. Dauchot
    • 1
    • 2
  • Peter G. Katona
    • 1
    • 2
  1. 1.Department of Biomedical EngineeringCase Western Reserve UniversityCleveland
  2. 2.Department of systems Engineering, and AnesthesiologyCase Western Reserve UniversityCleveland

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