L4acados: Learning-based models for acados, applied to Gaussian process-based predictive control

被引：0
|
作者：
Lahr, Amon [1 ]
Näf, Joshua [1 ]
Wabersich, Kim P. [2 ]
Frey, Jonathan [3 ]
Siehl, Pascal [2 ]
Carron, Andrea [1 ]
Diehl, Moritz [3 ]
Zeilinger, Melanie N. [1 ]
机构：
[1] ETH Zürich, Switzerland
[2] Robert Bosch GmbH, Corporate Research, Stuttgart, Germany
[3] Department of Microsystems Engineering (IMTEK), Department of Mathematics, University of Freiburg Freiburg, Germany
来源：
arXiv |
关键词：
Benchmarking - Gaussian distribution - Gaussian noise (electronic) - Invariance - Modular robots - Open source software - Optimal control systems - Predictive control systems - Problem oriented languages - Robot learning;
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