Dario Piga

Cited by

	All	Since 2016
Citations	1450	1113
h-index	20	17
i10-index	37	27

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Co-authors

Diego RegrutoAssociate Professor of Control Theory, Politecnico di TorinoVerified email at polito.it
Alberto BemporadProfessor of Control Systems, IMT Lucca, ItalyVerified email at imtlucca.it
Roland TothAssociate Professor, Eindhoven University of TechnologyVerified email at tue.nl
Andrea CastellettiProfessor, Politecnico di MilanoVerified email at polimi.it
Andrea CominolaAssistant Professor | Einstein Center Digital Future - Technische Universität BerlinVerified email at tu-berlin.de
Lorenzo FagianoAssociate Professor, Politecnico di MilanoVerified email at polimi.it
Simone FormentinAssociate Professor, Politecnico di MilanoVerified email at polimi.it
Matteo GiulianiAssistant Professor, Politecnico di MilanoVerified email at polimi.it
Manas MejariPostdoctoral researcher, IDSIA/SUPSI, Lugano, SwitzerlandVerified email at idsia.ch
Andrea-Emilio RizzoliIDSIA - USI/SUPSI Istituto Dalle Molle di Studi sull'Intelligenza ArtificialeVerified email at idsia.ch
Marco ForgioneDalle Molle Institute for ArtificiaI Intelligence, SUPSI-USI, LuganoVerified email at idsia.ch
Alessio BenavoliAssociate Professor in Statistics, SCSS, Trinity College DublinVerified email at tcd.ie
Sergio Matteo Savaresipolitecnico milanoVerified email at polimi.it
John LataireVrije Universiteit BrusselVerified email at vub.ac.be
Jean B. LasserreLAAS-CNRS, Toulouse France, ANITIVerified email at laas.fr
Stephen BoydProfessor of Electrical Engineering, Computer Science, and Management Science, StanfordVerified email at stanford.edu
Rik PintelonProfessor in electrical engineering, Vrije Universiteit Brussel, dept. ELECVerified email at vub.ac.be

Dario Piga

Senior Researcher at IDSIA - Dalle Molle Institute for ArtificiaI Intelligence, SUPSI-USI, Lugano

Verified email at supsi.ch - Homepage

System Identification Machine Learning Control theory


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Benefits and challenges of using smart meters for advancing residential water demand modeling and management: A review A Cominola, M Giuliani, D Piga, A Castelletti, AE Rizzoli Environmental Modelling & Software 72, 198-214, 2015	180	2015
High-altitude wind power generation L Fagiano, M Milanese, D Piga IEEE Transactions on Energy Conversion 25 (1), 168-180, 2009	108	2009
Optimization of airborne wind energy generators L Fagiano, M Milanese, D Piga International Journal of robust and nonlinear control 22 (18), 2055-2083, 2012	103	2012
A hybrid signature-based iterative disaggregation algorithm for non-intrusive load monitoring A Cominola, M Giuliani, D Piga, A Castelletti, AE Rizzoli Applied Energy 185, 331-344, 2017	93	2017
Set-membership error-in-variables identification through convex relaxation techniques V Cerone, D Piga, D Regruto IEEE Transactions on Automatic Control 57 (2), 517-522, 2011	58	2011
Sparse optimization for automated energy end use disaggregation D Piga, A Cominola, M Giuliani, A Castelletti, AE Rizzoli IEEE Transactions on Control Systems Technology 24 (3), 1044-1051, 2015	54	2015
Piecewise affine regression via recursive multiple least squares and multicategory discrimination V Breschi, D Piga, A Bemporad Automatica 73, 155-162, 2016	52	2016
Direct data-driven control of constrained systems D Piga, S Formentin, A Bemporad IEEE Transactions on Control Systems Technology 26 (4), 1422-1429, 2017	44	2017
An instrumental least squares support vector machine for nonlinear system identification V Laurain, R Tóth, D Piga, WX Zheng Automatica 54, 340-347, 2015	39	2015
Direct learning of LPV controllers from data S Formentin, D Piga, R Tóth, SM Savaresi Automatica 65, 98-110, 2016	36	2016
LPV system identification under noise corrupted scheduling and output signal observations D Piga, P Cox, R Toth, V Laurain Automatica 53, 329-338, 2015	34	2015
Set-membership LPV model identification of vehicle lateral dynamics V Cerone, D Piga, D Regruto Automatica 47 (8), 1794-1799, 2011	32	2011
An SDP approach for ℓ0-minimization: Application to ARX model segmentation D Piga, R Tóth Automatica 49 (12), 3646-3653, 2013	28	2013
A unified framework for solving a general class of conditional and robust set-membership estimation problems V Cerone, JB Lasserre, D Piga, D Regruto IEEE Transactions on Automatic Control 59 (11), 2897-2909, 2014	27	2014
Bounded error identification of Hammerstein systems through sparse polynomial optimization V Cerone, D Piga, D Regruto Automatica 48 (10), 2693-2698, 2012	27	2012
Enforcing stability constraints in set-membership identification of linear dynamic systems V Cerone, D Piga, D Regruto Automatica 47 (11), 2488-2494, 2011	27	2011
Improved parameter bounds for set‐membership EIV problems V Cerone, D Piga, D Regruto International Journal of Adaptive Control and Signal Processing 25 (3), 208-227, 2011	27	2011
Performance-oriented model learning for data-driven MPC design D Piga, M Forgione, S Formentin, A Bemporad IEEE control systems letters 3 (3), 577-582, 2019	22	2019
Fitting jump models A Bemporad, V Breschi, D Piga, SP Boyd Automatica 96, 11-21, 2018	21	2018
LPV model order selection in an LS-SVM setting D Piga, R Tóth 52nd IEEE Conference on Decision and Control, 4128-4133, 2013	20	2013

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