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

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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]

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