Adaptive regulation of arterial gas pressures by using robust adaptive control scheme

A. Sano, K. Ohkubo, H. Ohmori, M. Kikuchi

Research output: Contribution to journalConference articlepeer-review

2 Citations (Scopus)


A robust adaptive control scheme is investigated and implemented to regulate arterial oxygen pressure and carbon dioxide pressure independently at their desired levels by automatically adjusting two control inputs, the inspired oxygen concentration and the respiratory frequency, in accordance with continuously monitored transcutaneous oxygen and carbon dioxide pressures. A least-squares scheme using multiple models with different dead time and adjustable parameters can effectively determine the linearized first-order input-output model, including uncertain parameters and dead time. The proposed adaptive model-matching algorithm includes a supervisory controller and a robust controller with a Smith predictor to minimize the sensitivity to modeling errors, variations, and disturbances in the controlled subject. An animal experiment has shown that the proposed control algorithm can be easily implemented in an ordinary artificial ventilator.

Original languageEnglish
Pages (from-to)305-311
Number of pages7
JournalProceedings of the IEEE Conference on Decision and Control
Publication statusPublished - 1988 Dec 1
EventProceedings of the 27th IEEE Conference on Decision and Control - Austin, TX, USA
Duration: 1988 Dec 71988 Dec 9

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Modelling and Simulation
  • Control and Optimization


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