Project Website: https://www.ki.uni-stuttgart.de/departments/ac/research/projects/inmotion/
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21 to 30 of 96 Results
coupled_msd_4.slx
Feb 26, 2025 - Code for statesim - a python package to simulate dynamical systems from ordinary differential equations.
Unknown - 28.6 KB - MD5: 6d560b1381ba81d180551c58d068fadb
coupled_msd_4.slxc
Feb 26, 2025 - Code for statesim - a python package to simulate dynamical systems from ordinary differential equations.
Unknown - 5.0 KB - MD5: 85a104c8363fd1e40cfffefd1fea5e39
coupled_msd_initial_state-0_u-15_K-100_T-1200_config.json
Feb 26, 2025 - Code for statesim - a python package to simulate dynamical systems from ordinary differential equations.
JSON - 1.3 KB - MD5: 5dcfff4b096c26211d33eb99334e2f67
coupled_msd.py
Feb 26, 2025 - Code for statesim - a python package to simulate dynamical systems from ordinary differential equations.
Python Source Code - 6.7 KB - MD5: dca68e7c1a64c7f582927d6facaead66
create_train_split.py
Feb 26, 2025 - Code for statesim - a python package to simulate dynamical systems from ordinary differential equations.
Python Source Code - 2.8 KB - MD5: 9cec2ca4696496ec5333999648bbdf57
crnn.mat
Feb 26, 2025 - Code for statesim - a python package to simulate dynamical systems from ordinary differential equations.
MATLAB Data - 781.5 KB - MD5: 8e46287fd0b8971262e4f9ad1e972033
delta_tilde.m
Feb 26, 2025 - Code for statesim - a python package to simulate dynamical systems from ordinary differential equations.
MATLAB Source Code - 312 B - MD5: 6f0e3461226a7a59d878e2299f92fbf1
dh_analysis.m
Feb 26, 2025 - Code for statesim - a python package to simulate dynamical systems from ordinary differential equations.
MATLAB Source Code - 9.4 KB - MD5: 5da34e1ac7251568f0aaa5017ceb1d7e
dh_matrix.m
Feb 26, 2025 - Code for statesim - a python package to simulate dynamical systems from ordinary differential equations.
MATLAB Source Code - 568 B - MD5: 8d9bd942c9cb7594886e89d580f9f5e0
exponential_stability.ipynb
Feb 26, 2025 - Code for statesim - a python package to simulate dynamical systems from ordinary differential equations.
Jupyter Notebook - 38.1 KB - MD5: 09f7c1eca95830167ee0ac24368b7080
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