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Quantification of the multiplicative uncertainty in the linearized minimally parameterized parsimonious Wiener model for the neuromuscular blockade in closed-loop anesthesia.

, , , and . MED, page 703-708. IEEE, (2013)

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Design of depth of anesthesia controllers in the presence of model uncertainty., , , , and . MED, page 213-218. IEEE, (2013)Self-calibrating total-mass controller for the neuromuscular blockade matching the anesthesiologists' mindset., , , and . MED, page 723-728. IEEE, (2013)Bifurcation analysis for PID-controller tuning based on a minimal neuromuscular blockade model in closed-loop anesthesia., , and . CDC, page 115-120. IEEE, (2013)An adaptive approach to Target Controlled Infusion., , , and . ECC, page 418-423. IEEE, (2009)Quantification of the multiplicative uncertainty in the linearized minimally parameterized parsimonious Wiener model for the neuromuscular blockade in closed-loop anesthesia., , , and . MED, page 703-708. IEEE, (2013)Automated total intravenous anesthesia (amTIVA) from induction to recovery., , , , and . MeMeA, page 102-107. IEEE, (2014)Modeling the Effect of Intravenous Anesthetics: A Path Toward Individualization., , , and . IEEE Des. Test, 32 (5): 17-26 (2015)Nonlinear dynamics in closed-loop anesthesia: Pharmacokinetic/pharmacodynamic model under PID-feedback., , and . ACC, page 5496-5501. IEEE, (2014)Automatic recovery from nonlinear oscillations in PID-controlled anesthetic drug delivery., , and . ECC, page 2725-2730. IEEE, (2015)Student2student: arduino project-based learning., , , and . TEEM, page 79-84. ACM, (2016)