Offset-Free Hybrid Model Predictive Control of Bispectral Index in Anesthesia
D. Ingole, J. Drgoňa, M. Kvasnica
Slovak University of Technology in Bratislava
Abstract
This paper deals with the anesthesia control, using
bispectral index (BIS) as a measure of the depth of anesthesia;
controlled by hybrid model predictive control strategy. The
piecewise affine (PWA) hybrid pharmacodynamic model of a
patient containing a set of local linear dynamics is used to
describe the relationship between BIS value and drug infusion
rate. The hybrid model predictive control problem is formulated
as a mixed integer quadratic programming (MIQP) problem and
solved online. Furthermore, a disturbance observer is designed for
the offset-free BIS reference tracking. The results of designed controller
intended for reference tracking, disturbance rejection and
constraint handling are presented. Moreover, the performance of
nonlinear MPC is compared with the hybrid MPC and is shown
to be computationally less complex and fast.
Full paper
Session
Model Predictive Control (Lecture)
Reference
Ingole, D.; Drgoňa, J.; Kvasnica, M.: Offset-Free Hybrid Model Predictive Control of Bispectral Index in Anesthesia. Editors: Fikar, M. and Kvasnica, M., In Proceedings of the 2017 21st International Conference on Process Control (PC), Štrbské Pleso, Slovakia, June 6 – 9, 422–427, 2017.
BibTeX
| @inProceedings{pc2017-015, | ||
| author | = { | Ingole, D. and Drgo\n{n}a, J. and Kvasnica, M.}, |
| title | = { | Offset-Free Hybrid Model Predictive Control of Bispectral Index in Anesthesia}, |
| booktitle | = { | Proceedings of the 2017 21st International Conference on Process Control (PC)}, |
| year | = { | 2017}, |
| pages | = { | 422-427}, |
| editor | = { | Fikar, M. and Kvasnica, M.}, |
| address | = { | \v{S}trbsk\'e Pleso, Slovakia}} |