CONSTRAINED FUZZY GENERALISED PREDICTIVE CONTROL OF ANAESTHESIA VIA BLOOD PRESSURE MEASUREMENTS DURING SURGERY
M. Mahfouf*, A.J. Asbury**, and D.A. Linkens
Department of Automatic Control and Systems Engineering The University of Sheffield, Mappin Street, Sheffield S1 3JD The United Kingdom.
* Corresponding Author Tel: +44 (0) 114 222 5607 Email: M.Mahfouf@sheffield.ac.uk
** University Department of Anaesthesia, Glasgow Western Infirmary, Dumbarton Road, Glasgow G11 6NT, The United Kingdom.
The development and application of a constrained Single Input Single Output (SISO) version of the popular Generalised Predictive Control (GPC) algorithm, which uses the Quadratic programming (QP) approach, is presented in this paper; Mean Arterial pressure (MAP) is used as an inferential variable to indicate the level of unconsciousness. First, the algorithm was validated using a derived re-circulatory physiological model of anaesthesia via a semi-closed circuit before the closed-loop control system was transferred to the operating theatre for validation during surgical operations. Simulation and real-time experiments showed that excellent regulation of blood pressure around set-point targets can be achieved. Such regulation was later translated to being equivalent to a good maintenance of level of anaesthesia.
Keywords: Biomedical; Fuzzy Modelling; Closed-loop; Constraints; Predictive Control
Session slot T-Tu-M01: Modelling and Control for High Dependency Medicine/Area code 4c : Modelling and Control of Biomedical Systems

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