Distributed model predictive control for hypnosis-hemodynamic maintenance during anesthesia

被引：0
作者：
Copot, Dana [1 ,2 ]
Kusse, Frederik [1 ]
Ghita, Maria [1 ,2 ]
Ghita, Mihaela [1 ,2 ]
Neckebroek, Martine [3 ]
Maxim, Anca [1 ,4 ]
机构：
[1] Univ Ghent, Dynam Syst & Control Res Grp, Tech Lane Sci Pk 125, B-9052 Ghent, Belgium
[2] Flanders Make Consortium, EEDT Core Lab Decis & Control, Tech Lane Sci Pk 131, B-9052 Ghent, Belgium
[3] Ghent Univ Hosp, Dept Anesthesia, C Heymanslaan 10,Entrance 50,Route 560, B-9000 Ghent, Belgium
[4] Gheorghe Asachi Tech Univ Iasi, Dept Automat Control & Appl Informat, Iasi 700050, Romania
来源：
2019 23RD INTERNATIONAL CONFERENCE ON SYSTEM THEORY, CONTROL AND COMPUTING (ICSTCC) | 2019年
关键词：
nociceptor stimulus; hypnosis; mean arterial pressure; distributed predictive control; MPC; multivariable control; CLOSED-LOOP CONTROL; DEPTH; REMIFENTANIL; STRATEGY; SEDATION;
D O I：
10.1109/icstcc.2019.8885554
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
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.
引用
收藏
页码：638 / 643
页数：6
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