A robust fault detection and isolation filter for a horizontal axis variable speed wind turbine. - Bratislav Svetozarevic; Peyman Mohajerin Esfahani; Maryam Kamgarpour; John Lygeros (ACC, 2013)

Toward Anthropomimetic Robotics: Development, Simulation, and Control of a Musculoskeletal Torso. - Steffen Wittmeier; Cristiano Alessandro; Nenad Bascarevic; Konstantinos Dalamagkidis; David Devereux; Alan Diamond; Michael Jäntsch; Kosta Jovanovic; Rob Knight 001; Hugo Gravato Marques; Predrag Milosavljevic; Bhargav Mitra; et al. (Artif. Life, 2013)

SoRo-Track: A two-axis soft robotic platform for solar tracking and building-integrated photovoltaic applications. - Bratislav Svetozarevic; Zoltán Nagy 002; Johannes Hofer; Dominic Jacob; Moritz Begle; Eleni N. Chatzi; Arno Schlueter (ICRA, 2016)

Data-driven MIMO control of room temperature and bidirectional EV charging using deep reinforcement learning: simulation and experiments. - Bratislav Svetozarevic; Christian Baumann; Simon Muntwiler; Loris Di Natale; Philipp Heer; Melanie N. Zeilinger (CoRR, 2021)

Physically Consistent Neural Networks for building thermal modeling: theory and analysis. - Loris Di Natale; Bratislav Svetozarevic; Philipp Heer; Colin N. Jones (CoRR, 2021)

VABO: Violation-Aware Bayesian Optimization for Closed-Loop Control Performance Optimization with Unmodeled Constraints. - Wenjie Xu; Colin N. Jones; Bratislav Svetozarevic; Christopher R. Laughman; Ankush Chakrabarty (ACC, 2022)

Near-optimal Deep Reinforcement Learning Policies from Data for Zone Temperature Control. - Loris Di Natale; Bratislav Svetozarevic; Philipp Heer; Colin N. Jones (ICCA, 2022)

Physically Consistent Neural ODEs for Learning Multi-Physics Systems. - Muhammad Zakwan; Loris Di Natale; Bratislav Svetozarevic; Philipp Heer; Colin N. Jones; Giancarlo Ferrari-Trecate (CoRR, 2022)

CONFIG: Constrained Efficient Global Optimization for Closed-Loop Control System Optimization with Unmodeled Constraints. - Wenjie Xu; Yuning Jiang 002; Bratislav Svetozarevic; Colin N. Jones (CoRR, 2022)

Efficient Reinforcement Learning (ERL): Targeted Exploration Through Action Saturation. - Loris Di Natale; Bratislav Svetozarevic; Philipp Heer; Colin N. Jones (CoRR, 2022)

Towards Scalable Physically Consistent Neural Networks: an Application to Data-driven Multi-zone Thermal Building Models. - Loris Di Natale; Bratislav Svetozarevic; Philipp Heer; Colin Neil Jones (CoRR, 2022)

Computationally Efficient Reinforcement Learning: Targeted Exploration leveraging Simple Rules. - Loris Di Natale; Bratislav Svetozarevic; Philipp Heer; Colin N. Jones (CDC, 2023)

Primal-Dual Contextual Bayesian Optimization for Control System Online Optimization with Time-Average Constraints. - Wenjie Xu; Yuning Jiang 002; Bratislav Svetozarevic; Colin N. Jones (CDC, 2023)

Constrained Efficient Global Optimization of Expensive Black-box Functions. - Wenjie Xu; Yuning Jiang 002; Bratislav Svetozarevic; Colin N. Jones (ICML, 2023)

Violation-Aware Contextual Bayesian Optimization for Controller Performance Optimization with Unmodeled Constraints. - Wenjie Xu; Colin N. Jones; Bratislav Svetozarevic; Christopher R. Laughman; Ankush Chakrabarty (CoRR, 2023)

Bayesian Optimization of Expensive Nested Grey-Box Functions. - Wenjie Xu; Yuning Jiang 002; Bratislav Svetozarevic; Colin N. Jones (CoRR, 2023)

Data-driven adaptive building thermal controller tuning with constraints: A primal-dual contextual Bayesian optimization approach. - Wenjie Xu; Bratislav Svetozarevic; Loris Di Natale; Philipp Heer; Colin N. Jones (CoRR, 2023)

Multi-Agent Bayesian Optimization with Coupled Black-Box and Affine Constraints. - Wenjie Xu; Yuning Jiang 002; Bratislav Svetozarevic; Colin N. Jones (CoRR, 2023)

Stable Linear Subspace Identification: A Machine Learning Approach. - Loris Di Natale; Muhammad Zakwan; Bratislav Svetozarevic; Philipp Heer; Giancarlo Ferrari-Trecate; Colin N. Jones (ECC, 2024)

Principled Preferential Bayesian Optimization. - Wenjie Xu; Wenbin Wang; Yuning Jiang 002; Bratislav Svetozarevic; Colin N. Jones (ICML, 2024)