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Pfefferkorn, Maik
8  results:
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1

Learning a Gaussian Process Approximation of a Model Predic..:

, In: 2023 62nd IEEE Conference on Decision and Control (CDC),
Rose, Alexander ; Pfefferkorn, Maik ; Nguyen, Hoang Hai. - p. 4094-4099 , 2023
Link: https://doi.org/10.1109/..
 
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2

Exact Multiple-Step Predictions in Gaussian Process-based M..:

, In: 2022 American Control Conference (ACC),
Pfefferkorn, Maik ; Maiworm, Michael ; Findeisen, Rolf - p. 2829-2836 , 2022
Link: https://doi.org/10.23919..
 
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3

Learning secure corridors for model predictive path followi..:

, In: 2022 European Control Conference (ECC),
Holzmann, Philipp ; Matschek, Janine ; Pfefferkorn, Maik. - p. 1772-1777 , 2022
Link: https://doi.org/10.23919..
 
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4

High-probability stable Gaussian process-supported model pr..:

Nguyen, Hoang Hai ; Pfefferkorn, Maik ; Findeisen, Rolf
European Journal of Control.  68 (2022)  - p. 100695 , 2022
Link: https://doi.org/10.1016/..
 
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5

Fusing Online Gaussian Process-Based Learning and Control f..:

, In: 2020 59th IEEE Conference on Decision and Control (CDC),
Pfefferkorn, Maik ; Maiworm, Michael ; Wagner, Christian.. - p. 5525-5531 , 2020
Link: https://doi.org/10.1109/..
 
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6

Regret and Conservatism of Distributionally Robust Constrai..:

Pfefferkorn, Maik ; Renganathan, Venkatraman ; Findeisen, Rolf
http://arxiv.org/abs/2309.12190.  , 2023
Link: http://arxiv.org/abs/230..
 
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7

Model Predictive Control with Gaussian-Process-Supported Dy..:

Bethge, Johanna ; Pfefferkorn, Maik ; Rose, Alexander..
http://arxiv.org/abs/2303.04725.  , 2023
Link: http://arxiv.org/abs/230..
 
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8

Fusing Online Gaussian Process-Based Learning and Control f..:

Pfefferkorn, Maik ; Maiworm, Michael ; Wagner, Christian..
http://arxiv.org/abs/2004.02488.  , 2020
Link: http://arxiv.org/abs/200..
 
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