Emilio T. Maddalena
Emilio T. Maddalena
Catastrophe Researcher, Zurich Insurance Group
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Cited by
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Data-driven methods for building control—A review and promising future directions
ET Maddalena, Y Lian, CN Jones
Control Engineering Practice 95, 104211, 2020
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
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
Deterministic error bounds for kernel-based learning techniques under bounded noise
ET Maddalena, P Scharnhorst, CN Jones
Automatica 134, 109896, 2021
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
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
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
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
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
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
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
Learning non-parametric models with guarantees: A smooth Lipschitz regression approach
ET Maddalena, CN Jones
IFAC-PapersOnLine 53 (2), 965-970, 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
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
Robust region elimination for piecewise affine control laws
ET Maddalena, RKH Galvão, RJM Afonso
Automatica 99, 333-337, 2019
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
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
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
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
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
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