Petar Bevanda

According to our database, Petar Bevanda authored at least 10 papers between 2021 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

Koopman-Equivariant Gaussian Processes.

Petar Bevanda, Max Beier, Armin Lederer, Alexandre Capone, Stefan Sosnowski, Sandra Hirche

CoRR, February, 2025

2024

Kernel-Based Optimal Control: An Infinitesimal Generator Approach.

Petar Bevanda, Nicolas Hoischen, Tobias Wittmann, Jan Brüdigam, Sandra Hirche, Boris Houska

CoRR, 2024

Data-Driven Optimal Feedback Laws via Kernel Mean Embeddings.

Petar Bevanda, Nicolas Hoischen, Stefan Sosnowski, Sandra Hirche, Boris Houska

CoRR, 2024

Nonparametric Control-Koopman Operator Learning: Flexible and Scalable Models for Prediction and Control.

Petar Bevanda, Bas Driessen, Lucian-Cristian Iacob, Roland Tóth, Stefan Sosnowski, Sandra Hirche

CoRR, 2024

2023

Koopman Kernel Regression.

Petar Bevanda, Max Beier, Armin Lederer, Stefan Sosnowski, Eyke Hüllermeier, Sandra Hirche

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2022

Diffeomorphically Learning Stable Koopman Operators.

Petar Bevanda, Max Beier, Sebastian Kerz, Armin Lederer, Stefan Sosnowski, Sandra Hirche

IEEE Control. Syst. Lett., 2022

Towards Data-driven LQR with KoopmanizingFlows.

Petar Bevanda, Max Beier, Shahab Heshmati-Alamdari, Stefan Sosnowski, Sandra Hirche

CoRR, 2022

Learning the Koopman Eigendecomposition: A Diffeomorphic Approach.

Petar Bevanda, Johannes Kirmayr, Stefan Sosnowski, Sandra Hirche

Proceedings of the American Control Conference, 2022

2021

KoopmanizingFlows: Diffeomorphically Learning Stable Koopman Operators.

Petar Bevanda, Max Beier, Sebastian Kerz, Armin Lederer, Stefan Sosnowski, Sandra Hirche

CoRR, 2021

Koopman operator dynamical models: Learning, analysis and control.

Petar Bevanda, Stefan Sosnowski, Sandra Hirche

Annu. Rev. Control., 2021