Giulio Bottegal
Giulio Bottegal
ASML
Verifierad e-postadress på asml.com
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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
692013
Robust EM kernel-based methods for linear system identification
G Bottegal, AY Aravkin, H Hjalmarsson, G Pillonetto
Automatica 67, 114-126, 2016
392016
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
352015
An empirical Bayes approach to identification of modules in dynamic networks
N Everitt, G Bottegal, H Hjalmarsson
Automatica 91, 144-151, 2018
252018
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
212018
A new kernel-based approach to system identification with quantized output data
G Bottegal, H Hjalmarsson, G Pillonetto
Automatica 85, 145-152, 2017
202017
Regularized spectrum estimation using stable spline kernels
G Bottegal, G Pillonetto
Automatica 49 (11), 3199-3209, 2013
202013
A nonparametric kernel-based approach to Hammerstein system identification
RS Risuleo, G Bottegal, H Hjalmarsson
Automatica 85, 234-247, 2017
182017
A kernel-based approach to Hammerstein system identification
RS Risuleo, G Bottegal, H Hjalmarsson
IFAC-PapersOnLine 48 (28), 1011-1016, 2015
172015
Blind system identification using kernel-based methods
G Bottegal, RS Risuleo, H Hjalmarsson
IFAC-PapersOnLine 48 (28), 466-471, 2015
152015
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
152014
A two-experiment approach to Wiener system identification
G Bottegal, R Castro-Garcia, JAK Suykens
Automatica 93, 282-289, 2018
142018
Modeling complex systems by generalized factor analysis
G Bottegal, G Picci
IEEE Transactions on Automatic Control 60 (3), 759-774, 2014
142014
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
122019
Bayesian topology identification of linear dynamic networks
S Shi, G Bottegal, PMJ Van den Hof
2019 18th European Control Conference (ECC), 2814-2819, 2019
112019
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
112016
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
112015
A new kernel-based approach for overparameterized Hammerstein system identification
RS Risuleo, G Bottegal, H Hjalmarsson
Decision and Control (CDC), 2015 IEEE 54th Annual Conference on, 115 - 120, 2015
102015
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
102015
Bayesian kernel-based system identification with quantized output data
G Bottegal, G Pillonetto, H Hjalmarsson
IFAC-PapersOnLine 48 (28), 455-460, 2015
102015
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Artiklar 1–20