Improving the robustness of an MPC-based obstacle avoidance algorithm to parametric uncertainty using worst-case scenarios

Research article (Vehicle System Dynamics, 2018) · cited 21× · AI/ML
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Improving the robustness of an MPC-based obstacle avoidance algorithm to parametric uncertainty using worst-case scenarios

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Improving the robustness of an MPC-based obstacle avoidance algorithm to parametric uncertainty using worst-case scenarios is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Improving the robustness of an MPC-based obstacle avoidance algorithm to parametric uncertainty using worst-case scenarios. Retrieved May 24, 2026, from https://4ort.xyz/entity/improving-the-robustness-of-an-mpc-based-obstacle-avoidance-algorithm-to-parametric-uncertainty-using-worst-case-scenari
MLA “Improving the robustness of an MPC-based obstacle avoidance algorithm to parametric uncertainty using worst-case scenarios.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/improving-the-robustness-of-an-mpc-based-obstacle-avoidance-algorithm-to-parametric-uncertainty-using-worst-case-scenari.
BibTeX @misc{4ortxyz_improving-the-robustness-of-an-mpc-based-obstacle-avoidance-algorithm-to-parametric-uncertainty-using-worst-case-scenari_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Improving the robustness of an MPC-based obstacle avoidance algorithm to parametric uncertainty using worst-case scenarios}}, year = {2026}, url = {https://4ort.xyz/entity/improving-the-robustness-of-an-mpc-based-obstacle-avoidance-algorithm-to-parametric-uncertainty-using-worst-case-scenari}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Improving the robustness of an MPC-based obstacle avoidance algorithm to parametric uncertainty using worst-case scenarios — https://4ort.xyz/entity/improving-the-robustness-of-an-mpc-based-obstacle-avoidance-algorithm-to-parametric-uncertainty-using-worst-case-scenari (retrieved 2026-05-24)

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