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Giulio Bottegal was born in 1984 in Italy. Currently he is a post doc at the Control Systems group of TU Eindhoven (The Netherlands), working on the ERC-granted project SYSDYNET, under the supervision of Paul Van den Hof. He obtained the MS degree and the PhD degree from the University of Padova in 2009 and 2013, respectively. After the Phd, he spent three years (2013-2016) as a post doc at the Automatic Control Lab of KTH (Sweden), under the supervision of Håkan Hjalmarsson, and one year (2016-2017) as a post doc at ESAT, KU Leuven (Belgium), working under the supervision of Johan Suykens. He was a visiting Phd student at the Australian National University for a six-month period (2011-2012), and a visiting fellow at the same university (2013). In 2015, he spent a one-month visit at the CSPLab of the University of Melbourne (Australia). His research interests are in the fields of system identification and machine learning.

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Identification (control systems) Engineering & Materials Science
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Splines Engineering & Materials Science
Linear systems Engineering & Materials Science
Maximum likelihood Engineering & Materials Science
Experiments Engineering & Materials Science
Covariance matrix Engineering & Materials Science
Markov processes Engineering & Materials Science

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Research Output 2011 2019

Local module identification in dynamic networks using regularized kernel-based methods

Ramaswamy, K. R., Bottegal, G. & Van den Hof, P. M. J., 18 Jan 2019, 2018 IEEE Conference on Decision and Control, CDC 2018. Piscataway: Institute of Electrical and Electronics Engineers (IEEE), p. 4713-4718 6 p. 8619436

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

Modeling and identification of uncertain-input systems

Risuleo, R. S., Bottegal, G. & Hjalmarsson, H., 1 Jul 2019, In : Automatica. 105, p. 130-141 12 p.

Research output: Contribution to journalArticleAcademicpeer-review

Linear systems
Identification (control systems)
Model structures
Computer simulation
3 Citations (Scopus)

An empirical Bayes approach to identification of modules in dynamic networks

Everitt, N., Bottegal, G. & Hjalmarsson, H., 1 May 2018, In : Automatica. 91, p. 144-151 8 p.

Research output: Contribution to journalArticleAcademicpeer-review

Covariance matrix
Splines
Markov processes
Topology
Feedback

Approximate maximum-likelihood identification of linear systems from quantized measurements

Risuleo, R. S., Bottegal, G. & Hjalmarsson, H., 1 Jan 2018, In : IFAC-PapersOnLine. 51, 15, p. 724-729 6 p.

Research output: Contribution to journalConference articleAcademicpeer-review

Open Access
Maximum likelihood
Linear systems
Identification (control systems)
Impulse response

Courses

Control systems

1/09/13 → …

Course

Student theses

Identification of continuous-time ARX-Models subject to missing data

Author: Song, Y., 14 Sep 2018

Supervisor: Donkers, T. (Supervisor 1) & Bottegal, G. (Supervisor 2)

Student thesis: Master