Update README.md
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README.md
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README.md
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@ -14,10 +14,26 @@ If you find this project useful in your work, please consider citing following w
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title={Safety-critical model predictive control with discrete-time control barrier function},
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title={Safety-critical model predictive control with discrete-time control barrier function},
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author={Zeng, Jun and Zhang, Bike and Sreenath, Koushil},
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author={Zeng, Jun and Zhang, Bike and Sreenath, Koushil},
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booktitle={2021 American Control Conference (ACC)},
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booktitle={2021 American Control Conference (ACC)},
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year={2021}
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year={2021},
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volume={},
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number={},
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pages={3882-3889}
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}
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}
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```
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```
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For analysis of feasibility, safety and computational complexity, please check out the following paper:
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```
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@inproceedings{zeng2021mpccbf-feasibility,
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title={Enhancing feasibility and safety of nonlinear model predictive control with discrete-time control barrier functions},
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author={Zeng, Jun and Li, Zhongyu and Sreenath, Koushil},
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booktitle={2021 Conference on Decision and Control (CDC)},
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year={2021},
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volume={},
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number={},
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pages={6137-6144}
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}
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```
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#### Instructions
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#### Instructions
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The 2D double integrator is assigned to reach the target position at origin while avoiding obstacles. We have three classes for different controllers: `DCLFDCBF.m` (DCLF-DCBF), `MPCCBF.m` (MPC-CBF) and `MPCDC` (MPC-DC), respectively.
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The 2D double integrator is assigned to reach the target position at origin while avoiding obstacles. We have three classes for different controllers: `DCLFDCBF.m` (DCLF-DCBF), `MPCCBF.m` (MPC-CBF) and `MPCDC` (MPC-DC), respectively.
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