Robustness analysis of a fractional order control system for the hemodynamic variables in anesthetized patients
- Author
- Erwin Hegedus, Mihaela Ghita (UGent) , Isabela Roxana Birs (UGent) , Dana Copot (UGent) and Cristina I. Muresan
- Organization
- Project
- Abstract
- Computer-based control of anesthesia is a puzzle requiring multiple other states to be suitably monitored and controlled. Among these, hemodynamic stabilization is a must. Very few studies have been reported regarding the automatic control of the combined anesthesia-hemodynamic systems. Hemodynamic states are strongly affected by hypnotic drugs. At the same time, drugs used for hemodynamic control influence the depth of hypnosis. In this paper, a solution to maintain anesthetic and hemodynamic variables within safe operating ranges is presented and consists in a multivariable fractional order controller. The robustness of the proposed solution is analysed by considering a benchmark patient model and data from 24 patients.
- Keywords
- PREDICTIVE CONTROL, CONTROL STRATEGY, ANESTHESIA, PROPOFOL, MODEL, HYPNOSIS
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Please use this url to cite or link to this publication: http://hdl.handle.net/1854/LU-01HA705965ZEC8W6MDH3808GMA
- MLA
- Hegedus, Erwin, et al. “Robustness Analysis of a Fractional Order Control System for the Hemodynamic Variables in Anesthetized Patients.” 2023 EUROPEAN CONTROL CONFERENCE, ECC, IEEE, 2023, doi:10.23919/ECC57647.2023.10178146.
- APA
- Hegedus, E., Ghita, M., Birs, I. R., Copot, D., & Muresan, C. I. (2023). Robustness analysis of a fractional order control system for the hemodynamic variables in anesthetized patients. 2023 EUROPEAN CONTROL CONFERENCE, ECC. Presented at the European Control Conference (ECC), Bucharest, ROMANIA. https://doi.org/10.23919/ECC57647.2023.10178146
- Chicago author-date
- Hegedus, Erwin, Mihaela Ghita, Isabela Roxana Birs, Dana Copot, and Cristina I. Muresan. 2023. “Robustness Analysis of a Fractional Order Control System for the Hemodynamic Variables in Anesthetized Patients.” In 2023 EUROPEAN CONTROL CONFERENCE, ECC. IEEE. https://doi.org/10.23919/ECC57647.2023.10178146.
- Chicago author-date (all authors)
- Hegedus, Erwin, Mihaela Ghita, Isabela Roxana Birs, Dana Copot, and Cristina I. Muresan. 2023. “Robustness Analysis of a Fractional Order Control System for the Hemodynamic Variables in Anesthetized Patients.” In 2023 EUROPEAN CONTROL CONFERENCE, ECC. IEEE. doi:10.23919/ECC57647.2023.10178146.
- Vancouver
- 1.Hegedus E, Ghita M, Birs IR, Copot D, Muresan CI. Robustness analysis of a fractional order control system for the hemodynamic variables in anesthetized patients. In: 2023 EUROPEAN CONTROL CONFERENCE, ECC. IEEE; 2023.
- IEEE
- [1]E. Hegedus, M. Ghita, I. R. Birs, D. Copot, and C. I. Muresan, “Robustness analysis of a fractional order control system for the hemodynamic variables in anesthetized patients,” in 2023 EUROPEAN CONTROL CONFERENCE, ECC, Bucharest, ROMANIA, 2023.
@inproceedings{01HA705965ZEC8W6MDH3808GMA,
abstract = {{Computer-based control of anesthesia is a puzzle requiring multiple other states to be suitably monitored and controlled. Among these, hemodynamic stabilization is a must. Very few studies have been reported regarding the automatic control of the combined anesthesia-hemodynamic systems. Hemodynamic states are strongly affected by hypnotic drugs. At the same time, drugs used for hemodynamic control influence the depth of hypnosis. In this paper, a solution to maintain anesthetic and hemodynamic variables within safe operating ranges is presented and consists in a multivariable fractional order controller. The robustness of the proposed solution is analysed by considering a benchmark patient model and data from 24 patients.}},
author = {{Hegedus, Erwin and Ghita, Mihaela and Birs, Isabela Roxana and Copot, Dana and Muresan, Cristina I.}},
booktitle = {{2023 EUROPEAN CONTROL CONFERENCE, ECC}},
isbn = {{9783907144084}},
keywords = {{PREDICTIVE CONTROL,CONTROL STRATEGY,ANESTHESIA,PROPOFOL,MODEL,HYPNOSIS}},
language = {{eng}},
location = {{Bucharest, ROMANIA}},
pages = {{6}},
publisher = {{IEEE}},
title = {{Robustness analysis of a fractional order control system for the hemodynamic variables in anesthetized patients}},
url = {{http://doi.org/10.23919/ECC57647.2023.10178146}},
year = {{2023}},
}
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