A double-worst-case formulation for improving the robustness of an MPC-based obstacle avoidance algorithm to parametric uncertainty

Jiechao Liu, Paramsothy Jayakumar, Jeffrey L. Stein, Tulga Ersal. A double-worst-case formulation for improving the robustness of an MPC-based obstacle avoidance algorithm to parametric uncertainty. In 2017 American Control Conference, ACC 2017, Seattle, WA, USA, May 24-26, 2017. pages 5562-5567, IEEE, 2017. [doi]

@inproceedings{LiuJSE17,
  title = {A double-worst-case formulation for improving the robustness of an MPC-based obstacle avoidance algorithm to parametric uncertainty},
  author = {Jiechao Liu and Paramsothy Jayakumar and Jeffrey L. Stein and Tulga Ersal},
  year = {2017},
  doi = {10.23919/ACC.2017.7963820},
  url = {https://doi.org/10.23919/ACC.2017.7963820},
  researchr = {https://researchr.org/publication/LiuJSE17},
  cites = {0},
  citedby = {0},
  pages = {5562-5567},
  booktitle = {2017 American Control Conference, ACC 2017, Seattle, WA, USA, May 24-26, 2017},
  publisher = {IEEE},
  isbn = {978-1-5090-5992-8},
}