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dc.contributor.authorPadula, Fabrizio
dc.contributor.authorIonescu, C.
dc.contributor.authorLatronico, N.
dc.contributor.authorPaltenghi, M.
dc.contributor.authorVisioli, A.
dc.contributor.authorVivacqua, G.
dc.date.accessioned2017-04-28T14:00:39Z
dc.date.available2017-04-28T14:00:39Z
dc.date.created2017-04-28T09:06:14Z
dc.date.issued2017
dc.identifier.citationPadula, F. and Ionescu, C. and Latronico, N. and Paltenghi, M. and Visioli, A. and Vivacqua, G. 2017. Optimized PID control of depth of hypnosis in anesthesia. Computer Methods and Programs in Biomedicine. 144: pp. 21-35.
dc.identifier.urihttp://hdl.handle.net/20.500.11937/52922
dc.identifier.doi10.1016/j.cmpb.2017.03.013
dc.description.abstract

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.

dc.publisherElsevier
dc.titleOptimized PID control of depth of hypnosis in anesthesia
dc.typeJournal Article
dcterms.source.volume144
dcterms.source.startPage21
dcterms.source.endPage35
dcterms.source.issn0169-2607
dcterms.source.titleComputer Methods and Programs in Biomedicine
curtin.departmentDepartment of Mathematics and Statistics
curtin.accessStatusOpen access


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