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Riccardo Vignali
Riccardo Vignali
Ricerca sul Sistema Energetico - RSE S.p.A.
Verified email at polimi.it - Homepage
Title
Cited by
Cited by
Year
Energy management of a building cooling system with thermal storage: An approximate dynamic programming solution
RM Vignali, F Borghesan, L Piroddi, M Strelec, M Prandini
IEEE Transactions on Automation Science and Engineering 14 (2), 619-633, 2017
322017
Approximate dynamic programming-based control of a building cooling system with thermal storage
F Borghesan, R Vignali, L Piroddi, M Prandini, M Strelec
IEEE PES ISGT Europe 2013, 1-5, 2013
262013
An approximate dynamic programming approach to the energy management of a building cooling system
N Ceriani, R Vignali, L Piroddi, M Prandini
2013 European Control Conference (ECC), 2026-2031, 2013
212013
Towards a comprehensive framework for V2G optimal operation in presence of uncertainty
R Vignali, A Falsone, F Ruiz, G Gruosso
Sustainable Energy, Grids and Networks 31, 100740, 2022
142022
Set-based control for disturbed piecewise affine systems with state and actuation constraints
B Schürmann, R Vignali, M Prandini, M Althoff
Nonlinear Analysis: Hybrid Systems 36, 100826, 2020
132020
Performance assessment and design of abstracted models for stochastic hybrid systems through a randomized approach
M Prandini, S Garatti, R Vignali
Automatica 50 (11), 2852-2860, 2014
112014
Control input design: detecting non influential inputs while satisfying a reachability specification
R Vignali, L Deori, M Prandini
IFAC Proceedings Volumes 47 (3), 1416-1421, 2014
72014
A stochastic optimization approach to the aggregation of electric vehicles for the provision of ancillary services
M Rossini, C Sandroni, R Vignali
IFAC-PapersOnLine 53 (2), 7431-7438, 2020
62020
An investigation of V2G profitability with robust optimization and bidding price heuristics
R Vignali, L Pellegrino, A Gatti, S Canevese
2020 AEIT International Annual Conference (AEIT), 1-6, 2020
52020
A data-driven approach to stochastic constrained control of piecewise affine systems
RM Vignali, D Ioli, M Prandini
2018 Annual American Control Conference (ACC), 1424-1429, 2018
42018
Micro-grid energy management: a computational approach based on simulation and approximate discrete abstraction
F Borghesan, R Vignali, L Piroddi, M Strelec, M Prandini
52nd IEEE Conference on Decision and Control, 7125-7130, 2013
42013
Input design for a cascading system: An approach based on system decomposition and non-influential input detection
R Vignali, M Prandini
2014 IEEE Conference on Control Applications (CCA), 1515-1520, 2014
32014
Automatic verification and input design for dynamical systems: an optimization-based approach to the detection of non-inflential inputs
R Vignali
Politecnico di Milano, 2016
22016
Optimal control to reduce emissions in gasoline engines: an iterative learning control approach for ECU calibration maps improvement
D Caporale, L Deori, R Mura, A Falsone, R Vignali, L Giulioni, M Pirotta, ...
2015 European Control Conference (ECC), 1420-1425, 2015
22015
An innovative short-term congestion management algorithm for the Italian subtransmission grid: the Zonal-EMS Demo of the OSMOSE Project
L Orrù, G Lisciandrello, S Gliozzi, M De Ieso, A Aita, R Vignali, G Coletta
2021 AEIT International Annual Conference (AEIT), 1-5, 2021
12021
Optimal hierarchical control of dc microgrids: modelling and experimental validation
MP Kwaye, RM Vignali, R Lazzari
IFAC-PapersOnLine 53 (2), 12992-12998, 2020
12020
A method for detecting relevant inputs while satisfying a reachability specification for piecewise affine systems
R Vignali, M Prandini
2016 IEEE Conference on Control Applications (CCA), 538-543, 2016
12016
Minimum resource commitment for reachability specifications in a discrete time linear setting
R Vignali, M Prandini
IEEE Transactions on Automatic Control 62 (6), 3021-3028, 2016
12016
Vehicle-to-Grid and ancillary services: a profitability analysis under uncertainty
F Bianchi, A Falsone, R Vignali
IFAC-PapersOnLine 56 (2), 7077-7083, 2023
2023
Goal 12 Garantire modelli sostenibili di produzione e di consumo
M Migliore, F Rappelli, R Vignali
Rapporto Lombardia 2021. Un New Normal ancora da costruire, 219-236, 2021
2021
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