关注
Petar Bevanda
标题
引用次数
引用次数
年份
Koopman operator dynamical models: Learning, analysis and control
P Bevanda, S Sosnowski, S Hirche
Annual Reviews in Control 52, 197-212, 2021
1262021
Diffeomorphically Learning Stable Koopman Operators
P Bevanda, M Beier, S Kerz, A Lederer, S Sosnowski, S Hirche
IEEE Control Systems Letters 6, 3427-3432, 2022
30*2022
Koopman Kernel Regression
P Bevanda, M Beier, A Lederer, S Sosnowski, E Hüllermeier, S Hirche
Advances in Neural Information Processing Systems 36, 2024
112024
Learning the Koopman eigendecomposition: A diffeomorphic approach
P Bevanda, J Kirmayr, S Sosnowski, S Hirche
2022 American Control Conference (ACC), 2736-2741, 2022
112022
Towards Data-driven LQR with Koopmanizing Flows
P Bevanda, M Beier, S Heshmati-Alamdari, S Sosnowski, S Hirche
IFAC Conference on Intelligent Control and Automation Sciences (ICONS) 2022 …, 2022
92022
Nonparametric Control-Koopman Operator Learning: Flexible and Scalable Models for Prediction and Control
P Bevanda, B Driessen, LC Iacob, R Toth, S Sosnowski, S Hirche
arXiv preprint arXiv:2405.07312, 2024
22024
Data-Driven Optimal Feedback Laws via Kernel Mean Embeddings
P Bevanda, N Hoischen, S Sosnowski, S Hirche, B Houska
arXiv preprint arXiv:2407.16407, 2024
2024
Gaussian Process-Based Representation Learning via Timeseries Symmetries
P Bevanda, M Beier, A Lederer, A Capone, SG Sosnowski, S Hirche
ICML 2024 Workshop on Geometry-grounded Representation Learning and …, 0
系统目前无法执行此操作,请稍后再试。
文章 1–8