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

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 minimum-variance controller. The onset delay was estimated on-line,...

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Bibliographic Details
Published in:Annals of biomedical engineering 1985-01, Vol.13 (5), p.341-357
Main Authors: STERN, K. S, CHIZECK, H. J, WALKER, B. K, KRISHNAPRASAD, P. S, DAUCHOT, P. J, KATONA, P. G
Format: Article
Language:English
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Summary: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 minimum-variance 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.
ISSN:0090-6964
1573-9686
DOI:10.1007/BF02407765