Adrian M. Medioli
According to our database1,
Adrian M. Medioli
authored at least 14 papers
between 2005 and 2020.
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Bibliography
2020
A systematic stochastic design strategy achieving an optimal tradeoff between peak BGL and probability of hypoglycaemic events for individuals having type 1 diabetes mellitus.
Biomed. Signal Process. Control., 2020
2018
Autom., 2018
2016
A performance limitation for blood glucose regulation in type 1 diabetes accounting for insulin delivery delays.
Proceedings of the 55th IEEE Conference on Decision and Control, 2016
A methodology for the comparison of traditional MPC and stochastic MPC in the context of the regulation of blood glucose levels in Type 1 diabetics.
Proceedings of the Australian Control Conference, AuCC 2016, Newcastle, 2016
Individualization of stochastic models from population statistics for blood glucose regulation in Type 1 diabetes patients.
Proceedings of the Australian Control Conference, AuCC 2016, Newcastle, 2016
Application of MPC incorporating Stochastic Programming to Type 1 diabetes treatment.
Proceedings of the 2016 American Control Conference, 2016
2015
A fundamental control limitation for linear positive systems with application to Type 1 diabetes treatment.
Autom., 2015
2013
Scenario-based, closed-loop model predictive control with application to emergency vehicle scheduling.
Int. J. Control, 2013
2011
Emulation-Based Virtual Laboratories: A Low-Cost Alternative to Physical Experiments in Control Engineering Education.
IEEE Trans. Educ., 2011
Maximal controllability of input constrained unstable systems by the addition of implicit constraints.
Autom., 2011
2009
Proceedings of the 10th European Control Conference, 2009
Reduced parameterisation MPC for input-constrained unstable linear systems Part 2: Properties.
Proceedings of the 10th European Control Conference, 2009
Reduced parameterisation MPC for input-constrained unstable linear systems Part 1: Implementation.
Proceedings of the 10th European Control Conference, 2009
2005
Best Possible Region of Attraction for a Class of Unstable Systems Using Short Horizon MPC Concepts.
Proceedings of the 44th IEEE IEEE Conference on Decision and Control and 8th European Control Conference Control, 2005