An Adaptive GPC Approach to Low-flow Anaesthesia
| Authors: | Coca Daniel, University of Sheffield, United Kingdom
Coca Diana S., University of Sheffield, United Kingdom
Billings Stephen A., University of Sheffield, United Kingdom |
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| Topic: | 8.2 Modelling & Control of Biomedical Systems |
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| Session: | Control Applications to Life Medicine I |
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| Keywords: | Predictive control, adaptive control, parameter estimation, disturbance rejection, model-based control |
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Abstract
Abstract: An adaptive method is developed to control the end-tidal isoflurane concentrationusing a low-flow method. The isoflurane concentration is calculated based on measurementsof the end-tidal isoflurane concentration and mean arterial pressure (MAP) using a modelbasedmultivariable GPC algorithm. The control design allows explicit handling of input andoutput constrains, accommodates model uncertainty and takes into account possible MAPdisturbances caused by surgical stimulation and blood loss. The proposed approach wastested on a complex nonlinear compartmental model of the anaesthesia system. Thesimulations demonstrate that the proposed control approach provides fast response, accurateset-point tracking and has good disturbance rejection behaviour. The advantages anddrawbacks of low-flow over high flow anaesthesia techniques were evaluated.
