PN 4-7

Combining First Principles and Neural Network Models for Interpretable, High-Precision Multi-Step Predictions (InMotion)

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81 to 90 of 214 Results

run_experiment_industrial_robot.py May 15, 2023 - Supplements for "ReLiNet: Stable and Explainable Multistep Prediction with Recurrent Linear Parameter Varying Networks"" Python Source Code - 790 B - MD5: 7c104d5e2e4e119f1af0e5c9d5a9a066
run_experiment_ship_ind.py May 15, 2023 - Supplements for "ReLiNet: Stable and Explainable Multistep Prediction with Recurrent Linear Parameter Varying Networks"" Python Source Code - 798 B - MD5: 03c89d6fc4da10ff7e164b1726b05447
run_experiment_ship_ood.py May 15, 2023 - Supplements for "ReLiNet: Stable and Explainable Multistep Prediction with Recurrent Linear Parameter Varying Networks"" Python Source Code - 3.2 KB - MD5: 2061626de85058ffbc233707506a3e95
setup_environment.py May 15, 2023 - Supplements for "ReLiNet: Stable and Explainable Multistep Prediction with Recurrent Linear Parameter Varying Networks"" Python Source Code - 3.1 KB - MD5: 30c390367b82797419abc6ba9057eafa
ship.json May 15, 2023 - Supplements for "ReLiNet: Stable and Explainable Multistep Prediction with Recurrent Linear Parameter Varying Networks"" JSON - 4.6 KB - MD5: 52fba57c58e0b7b498a8ebc443cc2c3b
summarize_results.py May 15, 2023 - Supplements for "ReLiNet: Stable and Explainable Multistep Prediction with Recurrent Linear Parameter Varying Networks"" Python Source Code - 6.7 KB - MD5: c72cb36dcb6ca14b3d001e461e4cb3dd
utils.py May 15, 2023 - Supplements for "ReLiNet: Stable and Explainable Multistep Prediction with Recurrent Linear Parameter Varying Networks"" Python Source Code - 2.7 KB - MD5: 71fdd26d5fbf6ecbbcb93afe259e4809
A Simulated 4-DOF Ship Motion Dataset for System Identification under Environmental Disturbances Jun 20, 2022 Baier, Alexandra; Staab, Steffen, 2022, "A Simulated 4-DOF Ship Motion Dataset for System Identification under Environmental Disturbances", https://doi.org/10.18419/DARUS-2905, DaRUS, V1, UNF:6:Y083ZdO8GLwf/Iimyij+mQ== [fileUNF] This dataset contains data of 125 1-hour simulations of ship motion during various sea states performing random maneuvers in 4 degrees of freedom (surge-sway-yaw-roll). The original ship is a patrol ship developed by Perez et al. [1]. We have extended it with a set of two symmetrically placed rudder propellers. Additionally, we simulate wind forces...
20190805-095929.tab Jun 20, 2022 - A Simulated 4-DOF Ship Motion Dataset for System Identification under Environmental Disturbances Tabular Data - 756.9 KB - 12 Variables, 3601 Observations - UNF:6:elApnPwArW5//125o+aDDQ==
20190805-100028.tab Jun 20, 2022 - A Simulated 4-DOF Ship Motion Dataset for System Identification under Environmental Disturbances Tabular Data - 759.9 KB - 12 Variables, 3601 Observations - UNF:6:NvEznHcEdvtk/GE4hFA15g==

run_experiment_industrial_robot.py

May 15, 2023 - Supplements for "ReLiNet: Stable and Explainable Multistep Prediction with Recurrent Linear Parameter Varying Networks""

Python Source Code - 790 B -

run_experiment_ship_ind.py

May 15, 2023 - Supplements for "ReLiNet: Stable and Explainable Multistep Prediction with Recurrent Linear Parameter Varying Networks""

Python Source Code - 798 B -

run_experiment_ship_ood.py

May 15, 2023 - Supplements for "ReLiNet: Stable and Explainable Multistep Prediction with Recurrent Linear Parameter Varying Networks""

Python Source Code - 3.2 KB -

setup_environment.py

May 15, 2023 - Supplements for "ReLiNet: Stable and Explainable Multistep Prediction with Recurrent Linear Parameter Varying Networks""

Python Source Code - 3.1 KB -

ship.json

May 15, 2023 - Supplements for "ReLiNet: Stable and Explainable Multistep Prediction with Recurrent Linear Parameter Varying Networks""

JSON - 4.6 KB -

summarize_results.py

May 15, 2023 - Supplements for "ReLiNet: Stable and Explainable Multistep Prediction with Recurrent Linear Parameter Varying Networks""

Python Source Code - 6.7 KB -

utils.py

May 15, 2023 - Supplements for "ReLiNet: Stable and Explainable Multistep Prediction with Recurrent Linear Parameter Varying Networks""

Python Source Code - 2.7 KB -

A Simulated 4-DOF Ship Motion Dataset for System Identification under Environmental Disturbances

Jun 20, 2022

Baier, Alexandra; Staab, Steffen, 2022, "A Simulated 4-DOF Ship Motion Dataset for System Identification under Environmental Disturbances", https://doi.org/10.18419/DARUS-2905, DaRUS, V1, UNF:6:Y083ZdO8GLwf/Iimyij+mQ== [fileUNF]

This dataset contains data of 125 1-hour simulations of ship motion during various sea states performing random maneuvers in 4 degrees of freedom (surge-sway-yaw-roll). The original ship is a patrol ship developed by Perez et al. [1]. We have extended it with a set of two symmetrically placed rudder propellers. Additionally, we simulate wind forces...

20190805-095929.tab

Jun 20, 2022 - A Simulated 4-DOF Ship Motion Dataset for System Identification under Environmental Disturbances

Tabular Data - 756.9 KB - 12 Variables, 3601 Observations -

20190805-100028.tab

Jun 20, 2022 - A Simulated 4-DOF Ship Motion Dataset for System Identification under Environmental Disturbances

Tabular Data - 759.9 KB - 12 Variables, 3601 Observations -

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