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Keeping Switzerland at the forefront of innovation in automation
People
Bratislav Svetozarevic
Bratislav Svetozarevic
Scientific Publications
Published
Stable Linear Subspace Identification: A Machine Learning Approach
ArXiv
Loris Di Natale
,
Muhammad Zakwan
,
Bratislav Svetozarevic
,
Philipp Heer
,
Giancarlo Ferrari-Trecate
,
Colin Jones
2023
Doi.org
Collection
Published
Primal-Dual Contextual Bayesian Optimization for Control System Online Optimization With Time-Average Constraints
ArXiv
Yuning Jiang
,
Bratislav Svetozarevic
,
Colin Jones
2023
Doi.org
Collection
Published
Computationally Efficient Reinforcement Learning: Targeted Exploration leveraging simple Rules
ArXiv
Loris Di Natale
,
Bratislav Svetozarevic
,
Philipp Heer
,
Colin Jones
2022
Doi.org
Collection
Arxiv.org
Published
CONFIG: Constrained Efficient Global Optimization for Closed-Loop Control System Optimization With Unmodeled Constraints
ArXiv
Yuning Jiang
,
Bratislav Svetozarevic
,
Colin Jones
2022
Doi.org
Collection
Published
Physically Consistent Neural ODEs for Learning Multi-Physics Systems
Proceedings of IFAC World congress 2023
Muhammad Zakwan
,
Loris Di Natale
,
Bratislav Svetozarevic
,
Philipp Heer
,
Colin Jones
,
Giancarlo Ferrari-Trecate
2022
Doi.org
Arxiv.org
to Appear
Physically Consistent Neural Networks for building thermal modeling: theory and analysis
Applied Energy
Vol 325
Loris Di Natale
,
Bratislav Svetozarevic
,
Philipp Heer
,
Colin Jones
2022
Doi.org
Collection
Published
Constrained Efficient Global Optimization of Expensive Black-Box Functions
ArXiv
Yuning Jiang
,
Bratislav Svetozarevic
,
Colin Jones
2022
Doi.org
Collection
to Appear
VABO: Violation-Aware Bayesian Optimization for Closed-Loop Control Performance Optimization with Unmodeled Constraints
arxiv
Wenjie Xu
,
Colin Jones
,
Bratislav Svetozarevic
,
Christopher Laughman
,
Ankush Chakrabarty
2022
Doi.org
Collection
Published
Near-optimal Deep Reinforcement Learning Policies from Data for Zone Temperature Control
IEEE 17th International Conference on Control & Automation (ICCA)
Pages 698-703
Loris Di Natale
,
Bratislav Svetozarevic
,
Philipp Heer
,
Colin Jones
2022
Doi.org
Collection
Published
Data-driven control of room temperature and bidirectional EV charging using deep reinforcement learning: Simulations and experiments
Applied Energy
Vol 307
Pages 118127
Bratislav Svetozarevic
,
C. Baumann
,
S. Muntwiler
,
Loris Di Natale
,
Melanie Zeilinger
,
Philipp Heer
2022
Doi.org
Collection
Published
Deep Reinforcement Learning for Room Temperature Control: A Black-box Pipeline from Data to Policies
CISBAT 2021 special issue of IOP's JOURNAL OF PHYSICS Conference Series
Vol 2042
Loris Di Natale
,
Bratislav Svetozarevic
,
Philipp Heer
,
Colin Jones
2021
Doi.org
Collection
The Potential of Vehicle-to-Grid to Support the Energy Transition: A Case Study on Switzerland
MDPI Energies
Vol 14
No 16
Loris Di Natale
,
Luca Funk
,
Martin Rüdisüli
,
Bratislav Svetozarevic
,
Ciacomo Pareschi
,
Philipp Heer
,
Giovanni Sansavini
2021
Collection