NextGen Synergy: Control Theory and Machine Learning

Name: NextGen Synergy: Control Theory and Machine Learning
Start: 2026-04-27T08:30:00+02:00
End: 2026-04-30T20:00:00+02:00
Location: Faculty of Economics and Management, Czech University of Life Sciences

Apr 27 – 30, 2026

Faculty of Economics and Management, Czech University of Life Sciences

Europe/Prague timezone

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klepkova@utia.cas.cz

Linear quadratic control of nonlinear systems with Koopman operator learning and the Nyström method

Apr 27, 2026, 2:40 PM

20m

Accept as Oral presentation with Reimbursement Machine Leaning for Control Theory SESSION III

Affiliation of the corresponding author	Istituto Italiano di Tecnologia
Keywords	Koopman operator, kernel methods, Nyström method, linear quadratic regulator, data-driven methods
Preferred type of presentation	Oral
Are you a member of COST Action CA24136?	Yes, I am a member of COST Action CA24136.
Are you applying for reimbursement?	Yes, I am applying for reimbursement

Edoardo Caldarelli (Istituto Italiano di Tecnologia)

Adrià Colomé Antoine Chatalic Carlos Ocampo-Martinez Carme Torras Cesare Molinari Lorenzo Rosasco

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NextGen Synergy: Control Theory and Machine Learning

Local Organiser Contacts

Linear quadratic control of nonlinear systems with Koopman operator learning and the Nyström method

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NextGen Synergy: Control Theory and Machine Learning

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Presentation materials