Optimized PID control of depth of hypnosis in anesthesia
Background and Objective: This paper addresses the use of proportional-integral-derivative controllers for regulating the depth of hypnosis in anesthesia by using propofol administration and the bispectral index as a controlled variable. In fact, introducing an automatic control system might provide...
| Main Authors: | , , , , , |
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| Format: | Journal Article |
| Published: |
Elsevier
2017
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| Online Access: | http://hdl.handle.net/20.500.11937/52922 |
| _version_ | 1848759044792123392 |
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| author | Padula, Fabrizio Ionescu, C. Latronico, N. Paltenghi, M. Visioli, A. Vivacqua, G. |
| author_facet | Padula, Fabrizio Ionescu, C. Latronico, N. Paltenghi, M. Visioli, A. Vivacqua, G. |
| author_sort | Padula, Fabrizio |
| building | Curtin Institutional Repository |
| collection | Online Access |
| description | Background and Objective: This paper addresses the use of proportional-integral-derivative controllers for regulating the depth of hypnosis in anesthesia by using propofol administration and the bispectral index as a controlled variable. In fact, introducing an automatic control system might provide significant benefits for the patient in reducing the risk for under- and over-dosing. Methods: In this study, the controller parameters are obtained through genetic algorithms by solving a min-max optimization problem. A set of 12 patient models representative of a large population variance is used to test controller robustness. The worst-case performance in the considered population is minimized considering two different scenarios: the induction case and the maintenance case. Results: Our results indicate that including a gain scheduling strategy enables optimal performance for induction and maintenance phases, separately. Using a single tuning to address both tasks may results in a loss of performance up to 102% in the induction phase and up to 31% in the maintenance phase. Further on, it is shown that a suitably designed low-pass filter on the controller output can handle the trade-off between the performance and the noise effect in the control variable. Conclusions: Optimally tuned PID controllers provide a fast induction time with an acceptable overshoot and a satisfactory disturbance rejection performance during maintenance. These features make them a very good tool for comparison when other control algorithms are developed. |
| first_indexed | 2025-11-14T09:53:38Z |
| format | Journal Article |
| id | curtin-20.500.11937-52922 |
| institution | Curtin University Malaysia |
| institution_category | Local University |
| last_indexed | 2025-11-14T09:53:38Z |
| publishDate | 2017 |
| publisher | Elsevier |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | curtin-20.500.11937-529222018-03-20T08:50:58Z Optimized PID control of depth of hypnosis in anesthesia Padula, Fabrizio Ionescu, C. Latronico, N. Paltenghi, M. Visioli, A. Vivacqua, G. Background and Objective: This paper addresses the use of proportional-integral-derivative controllers for regulating the depth of hypnosis in anesthesia by using propofol administration and the bispectral index as a controlled variable. In fact, introducing an automatic control system might provide significant benefits for the patient in reducing the risk for under- and over-dosing. Methods: In this study, the controller parameters are obtained through genetic algorithms by solving a min-max optimization problem. A set of 12 patient models representative of a large population variance is used to test controller robustness. The worst-case performance in the considered population is minimized considering two different scenarios: the induction case and the maintenance case. Results: Our results indicate that including a gain scheduling strategy enables optimal performance for induction and maintenance phases, separately. Using a single tuning to address both tasks may results in a loss of performance up to 102% in the induction phase and up to 31% in the maintenance phase. Further on, it is shown that a suitably designed low-pass filter on the controller output can handle the trade-off between the performance and the noise effect in the control variable. Conclusions: Optimally tuned PID controllers provide a fast induction time with an acceptable overshoot and a satisfactory disturbance rejection performance during maintenance. These features make them a very good tool for comparison when other control algorithms are developed. 2017 Journal Article http://hdl.handle.net/20.500.11937/52922 10.1016/j.cmpb.2017.03.013 Elsevier fulltext |
| spellingShingle | Padula, Fabrizio Ionescu, C. Latronico, N. Paltenghi, M. Visioli, A. Vivacqua, G. Optimized PID control of depth of hypnosis in anesthesia |
| title | Optimized PID control of depth of hypnosis in anesthesia |
| title_full | Optimized PID control of depth of hypnosis in anesthesia |
| title_fullStr | Optimized PID control of depth of hypnosis in anesthesia |
| title_full_unstemmed | Optimized PID control of depth of hypnosis in anesthesia |
| title_short | Optimized PID control of depth of hypnosis in anesthesia |
| title_sort | optimized pid control of depth of hypnosis in anesthesia |
| url | http://hdl.handle.net/20.500.11937/52922 |