A comprehensive evaluation of PID, cascade, model-predictive, and RTDA controllers for regulation of hypnosis / Yelneedi Sreenivas in Industrial & engineering chemistry research, Vol. 48 N° 12 (Juin 2009)  

Public ISBD [article]  inIndustrial & engineering chemistry research > Vol. 48 N° 12 (Juin 2009) . - pp. 5719–5730 Titre : A comprehensive evaluation of PID, cascade, model-predictive, and RTDA controllers for regulation of hypnosis Type de document : texte imprimé Auteurs : Yelneedi Sreenivas, Auteur ; Tian Woon Yeng, Auteur ; G.P. Rangaiah, Auteur Année de publication : 2009 Article en page(s) : pp. 5719–5730 Note générale : Chemical engineering Langues : Anglais (eng) Mots-clés : Anesthesia Proportional-integral-derivative controller Closed-loop systems Résumé : Although manual control of anesthesia is still the dominant practice during surgery, an increasing number of studies have been conducted to investigate the possibility of automating this procedure. Several clinical studies that compare closed-loop to manual anesthesia control performance have been reported. These studies used proportional−integral−derivative (PID) controllers, as well as model-based controllers. However, there is a need for a comprehensive evaluation of closed-loop systems, to establish their safety, reliability, and efficacy for anesthesia regulation. This requires a detailed evaluation of promising and/or recent controllers for a range of patients and conditions via simulation. The present study investigates the performance of single-loop PID, cascade, model-predictive, and RTDA (Robustness, set point Tracking, Disturbance rejection, Aggressiveness) controllers for closed-loop regulation of hypnosis using isoflurane with bispectral index (BIS) as the controlled variable. Extensive simulations are performed using a model that simulates patient responses to the drug, surgical stimuli, and unexpected surgical events. Results of this comprehensive evaluation show that model-predictive and RTDA controllers provide better regulation of BIS, compared to the other controllers tested. En ligne : http://pubs.acs.org/doi/abs/10.1021/ie800927u [article] A comprehensive evaluation of PID, cascade, model-predictive, and RTDA controllers for regulation of hypnosis [texte imprimé] / Yelneedi Sreenivas, Auteur ; Tian Woon Yeng, Auteur ; G.P. Rangaiah, Auteur . - 2009 . - pp. 5719–5730. Chemical engineering Langues : Anglais (eng) in Industrial & engineering chemistry research > Vol. 48 N° 12 (Juin 2009) . - pp. 5719–5730 Mots-clés : Anesthesia Proportional-integral-derivative controller Closed-loop systems Résumé : Although manual control of anesthesia is still the dominant practice during surgery, an increasing number of studies have been conducted to investigate the possibility of automating this procedure. Several clinical studies that compare closed-loop to manual anesthesia control performance have been reported. These studies used proportional−integral−derivative (PID) controllers, as well as model-based controllers. However, there is a need for a comprehensive evaluation of closed-loop systems, to establish their safety, reliability, and efficacy for anesthesia regulation. This requires a detailed evaluation of promising and/or recent controllers for a range of patients and conditions via simulation. The present study investigates the performance of single-loop PID, cascade, model-predictive, and RTDA (Robustness, set point Tracking, Disturbance rejection, Aggressiveness) controllers for closed-loop regulation of hypnosis using isoflurane with bispectral index (BIS) as the controlled variable. Extensive simulations are performed using a model that simulates patient responses to the drug, surgical stimuli, and unexpected surgical events. Results of this comprehensive evaluation show that model-predictive and RTDA controllers provide better regulation of BIS, compared to the other controllers tested. En ligne : http://pubs.acs.org/doi/abs/10.1021/ie800927u

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