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

SIMONet: a deep learning framework for learning set-valued maps. Application to Control

Apr 30, 2026, 10:50 AM

20m

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

Affiliation of the corresponding author	Polytechnic University of Cartagena
Keywords	Set-valued exact control operator, deep operator network, curse of dimensionality, numerical simulations
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

Prof. FRANCISCO PERIAGO ESPARZA (TECHNICAL UNIVERSITY OF CARTAGENA)

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NextGen Synergy: Control Theory and Machine Learning

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SIMONet: a deep learning framework for learning set-valued maps. Application to Control

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NextGen Synergy: Control Theory and Machine Learning

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