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Emilio T. Maddalena
Emilio T. Maddalena
Catastrophe Researcher, Zurich Insurance Group
Verified email at zurich.com
Title
Cited by
Cited by
Year
Data-driven methods for building control—A review and promising future directions
ET Maddalena, Y Lian, CN Jones
Control Engineering Practice 95, 104211, 2020
1162020
A neural network architecture to learn explicit MPC controllers from data
ET Maddalena, CGS Moraes, G Waltrich, CN Jones
IFAC-PapersOnLine 53 (2), 11362-11367, 2020
562020
A battery-less photovoltaic water-pumping system with low decoupling capacitance
ET Maddalena, CG da Silva Moraes, G Braganca, LG Junior, RB Godoy, ...
IEEE Transactions on Industry Applications 55 (3), 2263-2271, 2019
432019
Deterministic error bounds for kernel-based learning techniques under bounded noise
ET Maddalena, P Scharnhorst, CN Jones
Automatica 134, 109896, 2021
382021
Scalable Bayesian optimization for model calibration: Case study on coupled building and HVAC dynamics
A Chakrabarty, E Maddalena, H Qiao, C Laughman
Energy and Buildings 253, 111460, 2021
372021
Experimental data-driven model predictive control of a hospital HVAC system during regular use
ET Maddalena, SA Mueller, RM dos Santos, C Salzmann, CN Jones
Energy and Buildings 271, 112316, 2022
242022
KPC: Learning-based model predictive control with deterministic guarantees
ET Maddalena, P Scharnhorst, Y Jiang, CN Jones
Learning for Dynamics and Control, 1015-1026, 2021
172021
Embedded PWM predictive control of DC-DC power converters via piecewise-affine neural networks
ET Maddalena, MWF Specq, VL Wisniewski, CN Jones
IEEE Open Journal of the Industrial Electronics Society 2, 199-206, 2021
142021
Lessons Learned from Data-Driven Building Control Experiments: Contrasting Gaussian Process-based MPC, Bilevel DeePC, and Deep Reinforcement Learning
LD Natale, Y Lian, E Maddalena, J Shi, CN Jones
2022 IEEE 61st Conference on Decision and Control (CDC), 2023
132023
Discrete-time regional pole-placement using convex approximations: Theory and application to a boost converter
VL Wisniewski, ET Maddalena, RB Godoy
Control Engineering Practice 91, 104102, 2019
132019
Robust uncertainty bounds in reproducing kernel hilbert spaces: A convex optimization approach
P Scharnhorst, ET Maddalena, Y Jiang, CN Jones
IEEE Transactions on Automatic Control, 2022
122022
Learning non-parametric models with guarantees: A smooth Lipschitz regression approach
ET Maddalena, CN Jones
IFAC-PapersOnLine 53 (2), 965-970, 2020
11*2020
Wireless charging system with a non-conventional compensation topology for electric vehicles and other applications
RB Godoy, ET Maddalena, G de Freitas Lima, LF Ferrari, VLV Torres, ...
Eletrônica de Potência 21 (1), 42-51, 2016
112016
Lower Bounds on the Noiseless Worst-Case Complexity of Efficient Global Optimization
W Xu, Y Jiang, ET Maddalena, CN Jones
Journal of Optimization Theory and Applications 201 (2), 583-608, 2024
9*2024
Robust region elimination for piecewise affine control laws
ET Maddalena, RKH Galvão, RJM Afonso
Automatica 99, 333-337, 2019
92019
On the Optimality and Convergence Properties of the Iterative Learning Model Predictive Controller
U Rosolia, Y Lian, E Maddalena, G Ferrari-Trecate, CN Jones
IEEE Transactions on Automatic Control, 2022
7*2022
A straightforward closed-loop wireless power transfer battery charger
ET Maddalena, VLV Torres, RB Godoy
IECON 2016-42nd Annual Conference of the IEEE Industrial Electronics Society …, 2016
62016
Mapping the Insomnia Severity index instrument to EQ-5D health state utilities: a United Kingdom perspective
FX Chalet, T Bujaroska, E Germeni, N Ghandri, ET Maddalena, K Modi, ...
PharmacoEconomics-Open 7 (1), 149-161, 2023
52023
State-space models for assisting loosely coupled inductive power transfer systems analysis
ET Maddalena, RB Godoy
Journal of Control, Automation and Electrical Systems 29, 119-124, 2018
52018
Model derivation and dynamic analysis of the SPS compensated wireless power transfer system
ET Maddalena, RB Godoy
2017 IEEE 8th International Symposium on Power Electronics for Distributed …, 2017
52017
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