Giulio Bottegal

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	All	Since 2016
Citations	481	409
h-index	12	10
i10-index	18	15

120

2013201420152016201720182019202020216 17 34 48 68 102 100 86 2

Co-authors

Håkan HjalmarssonCentre for Advanced Bioproduction, Linnaeus Centre ACCESS, School of EE and CSVerified email at ee.kth.se
Riccardo Sven RisuleoMachine learning researcher, KlarnaVerified email at kth.se
Gianluigi PillonettoProfessor of Automatic Control, University of PadovaVerified email at dei.unipd.it
Karl H. JohanssonElectrical Engineering and Computer Science, KTH Royal Institute of Technology, StockholmVerified email at kth.se
Damiano VaragnoloDepartment of Engineering Cybernetics, NTNU - Norwegian University of Science and TechnologyVerified email at ntnu.no
Bo WahlbergProfessor Automatic Control, KTH Royal Institute of TechnologyVerified email at ee.kth.se
Afrooz EbadatKTH Royal Institute of TechnologyVerified email at kth.se
Paul M.J. Van den HofProfessor Eindhoven University of TechnologyVerified email at tue.nl
Niklas EverittPhd-studentVerified email at kth.se
Aleksandr AravkinUniversity of WashingtonVerified email at uw.edu
Cristian R. RojasAssociate Professor, Division of Decision and Control Systems, KTH Royal Institute of TechnologyVerified email at ee.kth.se
Karthik Raghavan RamaswamyPhD ResearcherVerified email at tue.nl
Mohsen ZamaniUniversity of NewcastleVerified email at newcastle.edu.au
Johan SuykensProfessor, KU LeuvenVerified email at esat.kuleuven.be
Brian AndersonAustralian National University, Hangzhou Dianzi University, Data61-CSIROVerified email at anu.edu.au
Arne DankersHifi EngineeringVerified email at hifieng.com
Shengling ShiEindhoven University of TechnologyVerified email at tue.nl
Stefano PinzoniVerified email at dei.unipd.it
Iman ShamesUniversity of MelbourneVerified email at unimelb.edu.au
Farhad FarokhiThe University of Melbourne, AustraliaVerified email at unimelb.edu.au

Giulio Bottegal

ASML

Verified email at asml.com

System Identification Machine Learning Control Systems


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Estimation of building occupancy levels through environmental signals deconvolution A Ebadat, G Bottegal, D Varagnolo, B Wahlberg, KH Johansson Proceedings of the 5th ACM Workshop on Embedded Systems For Energy-Efficient …, 2013	65	2013
Robust EM kernel-based methods for linear system identification G Bottegal, AY Aravkin, H Hjalmarsson, G Pillonetto Automatica 67, 114-126, 2016	39	2016
Regularized deconvolution-based approaches for estimating room occupancies A Ebadat, G Bottegal, D Varagnolo, B Wahlberg, KH Johansson IEEE Transactions on Automation Science and Engineering 12 (4), 1157-1168, 2015	34	2015
An empirical Bayes approach to identification of modules in dynamic networks N Everitt, G Bottegal, H Hjalmarsson Automatica 91, 144-151, 2018	22	2018
Local module identification in dynamic networks using regularized kernel-based methods KR Ramaswamy, G Bottegal, PMJ Van den Hof 2018 IEEE Conference on Decision and Control (CDC), 4713-4718, 2018	21	2018
Regularized spectrum estimation using stable spline kernels G Bottegal, G Pillonetto Automatica 49 (11), 3199-3209, 2013	20	2013
A new kernel-based approach to system identification with quantized output data G Bottegal, H Hjalmarsson, G Pillonetto Automatica 85, 145-152, 2017	19	2017
A nonparametric kernel-based approach to Hammerstein system identification RS Risuleo, G Bottegal, H Hjalmarsson Automatica 85, 234-247, 2017	16	2017
A kernel-based approach to Hammerstein system identification RS Risuleo, G Bottegal, H Hjalmarsson IFAC-PapersOnLine 48 (28), 1011-1016, 2015	15	2015
Blind system identification using kernel-based methods G Bottegal, RS Risuleo, H Hjalmarsson IFAC-PapersOnLine 48 (28), 466-471, 2015	14	2015
Outlier robust system identification: A Bayesian kernel-based approach G Bottegal, AY Aravkin, H Hjalmarsson, G Pillonetto IFAC Proceedings Volumes 47 (3), 1073-1078, 2014	14	2014
Modeling complex systems by generalized factor analysis G Bottegal, G Picci IEEE Transactions on Automatic Control 60 (3), 759-774, 2014	13	2014
Local module identification in dynamic networks with correlated noise: the full input case PMJ Van den Hof, KR Ramaswamy, AG Dankers, G Bottegal 2019 IEEE 58th Conference on Decision and Control (CDC), 5494-5499, 2019	12	2019
A two-experiment approach to Wiener system identification G Bottegal, R Castro-Garcia, JAK Suykens Automatica 93, 282-289, 2018	10	2018
Identification of modules in dynamic networks: An empirical Bayes approach N Everitt, G Bottegal, CR Rojas, H Hjalmarsson 2016 IEEE 55th Conference on Decision and Control (CDC), 4612-4617, 2016	10	2016
Blind identification strategies for room occupancy estimation A Ebadat, G Bottegal, D Varagnolo, B Wahlberg, H Hjalmarsson, ... 2015 European control conference (ECC), 1315-1320, 2015	10	2015
Bayesian kernel-based system identification with quantized output data G Bottegal, G Pillonetto, H Hjalmarsson IFAC-PapersOnLine 48 (28), 455-460, 2015	10	2015
A benchmark for data-based office modeling: challenges related to CO2 dynamics RS Risuleo, M Molinari, G Bottegal, H Hjalmarsson, KH Johansson IFAC-PapersOnLine 48 (28), 1256-1261, 2015	10	2015
Bayesian topology identification of linear dynamic networks S Shi, G Bottegal, PMJ Van den Hof 2019 18th European Control Conference (ECC), 2814-2819, 2019	9	2019
Outlier robust kernel-based system identification using l1-Laplace techniques G Bottegal, H Hjalmarsson, AY Aravkin, G Pillonetto Decision and Control (CDC), 2015 IEEE 54th Annual Conference on, 2109-2114, 2015	9	2015

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