Distributed model predictive control for hypnosis-hemodynamic maintenance during anesthesia
- Resource Type
- Conference
- Authors
- Copot, Dana; Kusse, Frederik; Ghita, Maria; Ghita, Mihaela; Neckebroek, Martine; Maxim, Anca
- Source
- 2019 23rd International Conference on System Theory, Control and Computing (ICSTCC) System Theory, Control and Computing (ICSTCC), 2019 23rd International Conference on. :638-643 Oct, 2019
- Subject
- Components, Circuits, Devices and Systems
Computing and Processing
Robotics and Control Systems
Signal Processing and Analysis
Drugs
Anesthesia
Adaptation models
Predictive control
Predictive models
Blood pressure
Transfer functions
nociceptor stimulus
hypnosis
mean arterial pressure
distributed predictive control
MPC
multivariable control
- Language
In this paper, a non-cooperative distributed model predictive control (DMPC) algorithm for anaesthesia procedure is proposed. The algorithm is tested in simulation on a hypnosis-hemodynamic combined model for use during general anesthesia. The preliminary results are promising and show the effectiveness of the control procedure.