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Magni Lalo
Magni Lalo
Professor of Automatic Control at University of Pavia
Bestätigte E-Mail-Adresse bei unipv.it - Startseite
Titel
Zitiert von
Zitiert von
Jahr
Stability and robustness of nonlinear receding-horizon control
G De Nicolao, L Magni, R Scattolini
Nonlinear Model Predictive Control (Progress in Systems and Control Theory …, 2012
972*2012
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
5882009
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
4322001
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
3812007
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
3582012
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
3021998
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
2962003
Nonlinear model predictive control
L Magni, DM Raimondo, F Allgöwer
Lecture Notes in Control and Information Sciences 384, 2009
2872009
Lionsimba: a matlab framework based on a finite volume model suitable for li-ion battery design, simulation, and control
M Torchio, L Magni, RB Gopaluni, RD Braatz, DM Raimondo
Journal of The Electrochemical Society 163 (7), A1192, 2016
2792016
Min-max model predictive control of nonlinear systems: A unifying overview on stability
DM Raimondo, D Limon, M Lazar, L Magni, EF ndez Camacho
European Journal of Control 15 (1), 5-21, 2009
2622009
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
2562010
2 month evening and night closed-loop glucose control in patients with type 1 diabetes under free-living conditions: a randomised crossover trial
J Kropff, S Del Favero, J Place, C Toffanin, R Visentin, M Monaro, ...
The lancet Diabetes & endocrinology 3 (12), 939-947, 2015
2552015
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
2552008
Safety of outpatient closed-loop control: first randomized crossover trials of a wearable artificial pancreas
BP Kovatchev, E Renard, C Cobelli, HC Zisser, P Keith-Hynes, ...
Diabetes care 37 (7), 1789-1796, 2014
2202014
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
2192009
Stabilizing decentralized model predictive control of nonlinear systems
L Magni, R Scattolini
Automatica 42 (7), 1231-1236, 2006
2172006
Stability and robustness of nonlinear receding-horizon control
G De Nicolao, L Magni, R Scattolini
Nonlinear Model Predictive Control, Progress in Systems and Control Theory …, 2000
2142000
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
2122012
Robustness and robust design of MPC for nonlinear discrete-time systems
L Magni, R Scattolini
Assessment and future directions of nonlinear model predictive control, 239-254, 2007
2092007
Stability margins of nonlinear receding-horizon control via inverse optimality
L Magni, R Sepulchre
Systems & Control Letters 32 (4), 241-245, 1997
2081997
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