SimTech EXC 2075 Project Network 4 "Data-integrated control systems design with guarantees"
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Tabular Data - 753.6 KB - 12 Variables, 3601 Observations - UNF:6:c5nzWKSgwz1IzkwRFqGjZw==
Tabular Data - 751.6 KB - 12 Variables, 3601 Observations - UNF:6:WDPoiFNUpmid6ElkMBDJSQ==
Plain Text - 1009 B - MD5: a6515592a421863f2de445c1e769480d
Documentation
PN 4-7(Universität Stuttgart)
May 16, 2022
Combining First Principles and Neural Network Models for Interpretable, High-Precision Multi-Step Predictions (InMotion)
Adobe PDF - 2.2 MB - MD5: faaf50d668131d5792fc18dc263947ba
a short introduction into the training data and its purpose
MATLAB Data - 754.8 KB - MD5: 77f69e59ded4a67acc231c28e451b569
training data set 1
MATLAB Data - 745.8 KB - MD5: 104873a233e7f2a7126c88073fa3aa22
training data set 2
Plain Text - 1.0 KB - MD5: 4e8c9364d65d846be139ff83b1ff28b6
MATLAB Data - 157.0 KB - MD5: d9470a6e04918ad406bf32e50e917413
reference data (figure eight trajectory)
PN 4-4(Institute of Engineering and Computational Mechanics, Universität Stuttgart)
May 10, 2021
Bridging the gap between theoretic research in distributed and learning-based model predictive control and multi-agent applications.
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