Adaptive robust control of general anesthesia with event-based surgery mapping and variable patient models

In this project, innovative concepts of fractional order control, combined with event-triggered supervisory control loops are designed and tested on a full anesthesia-hemodynamic patient simulator. Added features to allow such validation and demonstrator tools are necessary to be implemented in the existing patient simulator: i.e. patient models variability, blood loss effects in time constant and steady-state values, disturbance profiles adapted to various surgery types. The transition between induction phase – typically a reference tracking control problem, and maintenance phase – a disturbance rejection mode, is also proposed to be resolved using funnel type guidance of output limit intervals. A total of 5x5 multivariable simulator will be used to validate the proposed control strategies and investigate stability of the inherent closed loops. Existing patient database and know-how on surgical protocols are used to offer real-life simulator conditions. The deliverable is a breakthrough state of art for the regulatory paradigm of depth of anesthesia and a cross-disciplinary added value in both clinical practice and control methodologies.