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https://github.com/OpenOCL/OpenOCL

Open Optimal Control Library for Matlab. Trajectory Optimization and non-linear Model Predictive Control (MPC) toolbox.
https://github.com/OpenOCL/OpenOCL

control-theory machine-learning model-predictive-control numerical-optimization optimal-control robotics trajectory-optimization

Last synced: 3 months ago
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Open Optimal Control Library for Matlab. Trajectory Optimization and non-linear Model Predictive Control (MPC) toolbox.

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README

        

# Open Optimal Control Library

Visit the website [openocl.github.io](https://openocl.github.io) to [download](https://openocl.github.io/get-started/) the toolbox, and have a look at the [API Docs](https://openocl.github.io/api-docs/) and the [examples](https://github.com/OpenOCL/OpenOCL/tree/master/%2Bocl/%2Bexamples).

## Get started

```m
doc ocl
ocl.examples.cartpole
open ocl.examples.cartpole
```

## Contribute

If you would like to participate in the project, you are very welcome! [Contribution guidelines](https://openocl.github.io/contribute/)

## Some Models

* robotics: https://github.com/jkoendev/openocl_models (very experimental)
* airborne wind energy: https://openawe.github.io/ (outdated, very experimental)

## Citing and publications

If you use OpenOCL, please [cite us](https://openocl.github.io/publications/) and consider giving us a **star** on this repository.

## Legal notice

Please see license information in the LICENSE file in the github project.

This program is distributed in the hope that it will be useful,
but WITHOUT ANY WARRANTY; without even the implied warranty of
MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.

This project has received funding from the European Union’s Horizon 2020 research and innovation programme under the Marie Sklodowska-Curie grant agreement No 642682.

Use without warranty.

info [at] openocl.org