Please use this identifier to cite or link to this item: https://doi.org/10.1021/ie800695b
DC FieldValue
dc.titleAdvanced control strategies for the regulation of hypnosis with propofol
dc.contributor.authorYelneedi, S.
dc.contributor.authorSamavedham, L.
dc.contributor.authorRangaiah, G.P.
dc.date.accessioned2014-06-17T07:35:35Z
dc.date.available2014-06-17T07:35:35Z
dc.date.issued2009-04-15
dc.identifier.citationYelneedi, S., Samavedham, L., Rangaiah, G.P. (2009-04-15). Advanced control strategies for the regulation of hypnosis with propofol. Industrial and Engineering Chemistry Research 48 (8) : 3880-3897. ScholarBank@NUS Repository. https://doi.org/10.1021/ie800695b
dc.identifier.issn08885885
dc.identifier.urihttp://scholarbank.nus.edu.sg/handle/10635/63446
dc.description.abstractAnesthesia implies maintaining a triad of hypnosis, analgesia, and neuromuscular blockade by infusing several drugs which specifically act on each of the above aspects. This work focuses on controlling the hypnosis by automatic infusion of propofol using bispectral index (BIS) as the primary controlled variable. A fourthorder nonlinear pharmacokinetic (PK)-pharmacodynamic (PD) representation is used for the hypnosis dynamics of patients. A reliable PK-PD model with associated parameters is obtained from the literature and the closed-loop responses of four types of control strategies (model predictive control, internal model control, controller with modeling error compensation, and proportional-integral-derivative (PID) control) are compared. Robust performance of the four controllers is tested for a broad range of patients by considering variability in PK-PD parameters. Also, the relative performance of the four controllers is studied for different setpoints, noise, and disturbances in BIS signal. Numerical simulations show that all the advanced controllers performed better than the PID controller with the model predictive controller showing the best performance. © 2009 American Chemical Society.
dc.description.urihttp://libproxy1.nus.edu.sg/login?url=http://dx.doi.org/10.1021/ie800695b
dc.sourceScopus
dc.typeArticle
dc.contributor.departmentCHEMICAL & BIOMOLECULAR ENGINEERING
dc.description.doi10.1021/ie800695b
dc.description.sourcetitleIndustrial and Engineering Chemistry Research
dc.description.volume48
dc.description.issue8
dc.description.page3880-3897
dc.description.codenIECRE
dc.identifier.isiut000264991100021
Appears in Collections:Staff Publications

Show simple item record
Files in This Item:
There are no files associated with this item.

SCOPUSTM   
Citations

45
checked on Dec 6, 2019

WEB OF SCIENCETM
Citations

30
checked on Jul 10, 2019

Page view(s)

59
checked on Dec 1, 2019

Google ScholarTM

Check

Altmetric


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.