De Nicolao Giuseppe
Citado por
Citado por
The periodic Riccati equation
S Bittanti, P Colaneri, G De Nicolao
The Riccati Equation, 127-162, 1991
Kernel methods in system identification, machine learning and function estimation: A survey
G Pillonetto, F Dinuzzo, T Chen, G De Nicolao, L Ljung
Automatica 50 (3), 657-682, 2014
Diabetes: models, signals, and control
C Cobelli, C Dalla Man, G Sparacino, L Magni, G De Nicolao, ...
IEEE reviews in biomedical engineering 2, 54-96, 2009
Predictive pharmacokinetic-pharmacodynamic modeling of tumor growth kinetics in xenograft models after administration of anticancer agents
M Simeoni, P Magni, C Cammia, G De Nicolao, V Croci, E Pesenti, ...
Cancer research 64 (3), 1094-1101, 2004
A new kernel-based approach for linear system identification
G Pillonetto, G De Nicolao
Automatica 46 (1), 81-93, 2010
A stabilizing model-based predictive control algorithm for nonlinear systems
L Magni, G De Nicolao, L Magnani, R Scattolini
Automatica 37 (9), 1351-1362, 2001
Model predictive control of type 1 diabetes: an in silico trial
L Magni, DM Raimondo, L Bossi, C Dalla Man, G De Nicolao, ...
Journal of diabetes science and technology 1 (6), 804-812, 2007
Fully integrated artificial pancreas in type 1 diabetes: modular closed-loop glucose control maintains near normoglycemia
M Breton, A Farret, D Bruttomesso, S Anderson, L Magni, S Patek, ...
Diabetes 61 (9), 2230-2237, 2012
Stabilizing receding-horizon control of nonlinear time-varying systems
G De Nicolao, L Magni, R Scattolini
IEEE Transactions on Automatic Control 43 (7), 1030-1036, 1998
Robust model predictive control for nonlinear discrete‐time systems
L Magni, G De Nicolao, R Scattolini, F Allgöwer
International Journal of Robust and Nonlinear Control: IFAC‐Affiliated …, 2003
Evaluating the efficacy of closed-loop glucose regulation via control-variability grid analysis
L Magni, DM Raimondo, CD Man, M Breton, S Patek, G De Nicolao, ...
Journal of diabetes science and technology 2 (4), 630-635, 2008
Multinational study of subcutaneous model-predictive closed-loop control in type 1 diabetes mellitus: summary of the results
B Kovatchev, C Cobelli, E Renard, S Anderson, M Breton, S Patek, ...
Journal of diabetes science and technology 4 (6), 1374-1381, 2010
Nonparametric input estimation in physiological systems: problems, methods, and case studies
G De Nicolao, G Sparacino, C Cobelli
Automatica 33 (5), 851-870, 1997
Prediction error identification of linear systems: a nonparametric Gaussian regression approach
G Pillonetto, A Chiuso, G De Nicolao
Automatica 47 (2), 291-305, 2011
Markov jump linear systems with switching transition rates: Mean square stability with dwell-time
P Bolzern, P Colaneri, G De Nicolao
Automatica 46 (6), 1081-1088, 2010
Stochastic stability of positive Markov jump linear systems
P Bolzern, P Colaneri, G De Nicolao
Automatica 50 (4), 1181-1187, 2014
Model predictive control of glucose concentration in type I diabetic patients: An in silico trial
L Magni, DM Raimondo, C Dalla Man, G De Nicolao, B Kovatchev, ...
Biomedical Signal Processing and Control 4 (4), 338-346, 2009
Stability and robustness of nonlinear receding horizon control
G De Nicolao, L Magni, R Scattolini
Nonlinear model predictive control, 3-22, 2000
Modular closed-loop control of diabetes
SD Patek, L Magni, E Dassau, C Karvetski, C Toffanin, G De Nicolao, ...
IEEE Transactions on Biomedical Engineering 59 (11), 2986-2999, 2012
Modeling vaccination rollouts, SARS-CoV-2 variants and the requirement for non-pharmaceutical interventions in Italy
G Giordano, M Colaneri, A Di Filippo, F Blanchini, P Bolzern, ...
Nature medicine 27 (6), 993-998, 2021
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