InMotion (EXC)

Project Website: https://www.ki.uni-stuttgart.de/departments/ac/research/projects/inmotion/

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91 to 99 of 99 Results

system_analysis.py Feb 26, 2025 - Code for statesim - a python package to simulate dynamical systems from ordinary differential equations. Python Source Code - 1.9 KB - MD5: 84456e1b36a18633a9f4072c19ef2708
unit_test.py Feb 26, 2025 - Code for statesim - a python package to simulate dynamical systems from ordinary differential equations. Python Source Code - 11.5 KB - MD5: 68bbf1b7d9b03add1439eb9a0b71aec1
utils.m Feb 26, 2025 - Code for statesim - a python package to simulate dynamical systems from ordinary differential equations. MATLAB Source Code - 453 B - MD5: 0b11c44ca1a9f8dff3619bb3004d5225
utils.py Feb 26, 2025 - Code for statesim - a python package to simulate dynamical systems from ordinary differential equations. Python Source Code - 2.5 KB - MD5: dce08372ef09a910a70c23a39f09029d
utils.py Feb 26, 2025 - Code for statesim - a python package to simulate dynamical systems from ordinary differential equations. Python Source Code - 5.0 KB - MD5: 7735e7befc40b347e8132413eac4f325
Damped pendulum for nonlinear system identification - inputs are sampled from a multivariate-normal distribution - synthetically generated Feb 26, 2025 Frank, Daniel, 2025, "Damped pendulum for nonlinear system identification - inputs are sampled from a multivariate-normal distribution - synthetically generated", https://doi.org/10.18419/DARUS-4770, DaRUS, V1 Overview This dataset contains input-output data of a damped nonlinear pendulum that is actuated at the mounting point. The data was generated with statesim [1], a python package for simulating linear and nonlinear ODEs, for the system actuated pendulum. The configuration .json files for the corresponding datasets (in-distribution and out-of-distri...
Damped pendulum.zip Feb 26, 2025 - Damped pendulum for nonlinear system identification - inputs are sampled from a multivariate-normal distribution - synthetically generated ZIP Archive - 238.5 MB - MD5: 7df4c7e80fb59c820db4aab409c13c67
Coupled mass-spring-damper system for nonlinear system identification - actuated with random static inputs - synthetically generated Feb 26, 2025 Frank, Daniel, 2025, "Coupled mass-spring-damper system for nonlinear system identification - actuated with random static inputs - synthetically generated", https://doi.org/10.18419/DARUS-4768, DaRUS, V1 Overview This dataset contains input-output data of a coupled mass-spring-damper system with a nonlinear force profile. The data was generated with statesim [1], a python package for simulating linear and nonlinear ODEs, for the system coupled-msd. The configuration .json files for the corresponding datasets (in-distribution and out-of-distribution...
Coupled mass-spring-damper system.zip Feb 26, 2025 - Coupled mass-spring-damper system for nonlinear system identification - actuated with random static inputs - synthetically generated ZIP Archive - 751.7 MB - MD5: 04949dfadc2bd01a404223ca93e7d789

system_analysis.py

Feb 26, 2025 - Code for statesim - a python package to simulate dynamical systems from ordinary differential equations.

Python Source Code - 1.9 KB -

unit_test.py

Feb 26, 2025 - Code for statesim - a python package to simulate dynamical systems from ordinary differential equations.

Python Source Code - 11.5 KB -

utils.m

Feb 26, 2025 - Code for statesim - a python package to simulate dynamical systems from ordinary differential equations.

MATLAB Source Code - 453 B -

utils.py

Feb 26, 2025 - Code for statesim - a python package to simulate dynamical systems from ordinary differential equations.

Python Source Code - 2.5 KB -

utils.py

Feb 26, 2025 - Code for statesim - a python package to simulate dynamical systems from ordinary differential equations.

Python Source Code - 5.0 KB -

Damped pendulum for nonlinear system identification - inputs are sampled from a multivariate-normal distribution - synthetically generated

Feb 26, 2025

Frank, Daniel, 2025, "Damped pendulum for nonlinear system identification - inputs are sampled from a multivariate-normal distribution - synthetically generated", https://doi.org/10.18419/DARUS-4770, DaRUS, V1

Overview This dataset contains input-output data of a damped nonlinear pendulum that is actuated at the mounting point. The data was generated with statesim [1], a python package for simulating linear and nonlinear ODEs, for the system actuated pendulum. The configuration .json files for the corresponding datasets (in-distribution and out-of-distri...

Damped pendulum.zip

Feb 26, 2025 - Damped pendulum for nonlinear system identification - inputs are sampled from a multivariate-normal distribution - synthetically generated

ZIP Archive - 238.5 MB -

Coupled mass-spring-damper system for nonlinear system identification - actuated with random static inputs - synthetically generated

Feb 26, 2025

Frank, Daniel, 2025, "Coupled mass-spring-damper system for nonlinear system identification - actuated with random static inputs - synthetically generated", https://doi.org/10.18419/DARUS-4768, DaRUS, V1

Overview This dataset contains input-output data of a coupled mass-spring-damper system with a nonlinear force profile. The data was generated with statesim [1], a python package for simulating linear and nonlinear ODEs, for the system coupled-msd. The configuration .json files for the corresponding datasets (in-distribution and out-of-distribution...

Coupled mass-spring-damper system.zip

Feb 26, 2025 - Coupled mass-spring-damper system for nonlinear system identification - actuated with random static inputs - synthetically generated

ZIP Archive - 751.7 MB -

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