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Solving chance constrained optimal control problems in aerospace via kernel density estimation

Research article (Optimal Control Applications and Methods, 2018) · cited 30× · AI/ML
academia openalex:W2606245104
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Solving chance constrained optimal control problems in aerospace via kernel density estimation

Summary

Solving chance constrained optimal control problems in aerospace via kernel density estimation is a scholarly article[1].

Key Facts

  • Solving chance constrained optimal control problems in aerospace via kernel density estimation's instance of is recorded as scholarly article[2].

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Direct Wikidata claims

  1. [2] ↑ . wikidata.org.

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  1. [1] ↑ . Wikidata. wikidata.org.

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APA 4ort.xyz Knowledge Graph. (2026). Solving chance constrained optimal control problems in aerospace via kernel density estimation. Retrieved May 24, 2026, from https://4ort.xyz/entity/solving-chance-constrained-optimal-control-problems-in-aerospace-via-kernel-density-estimation
MLA “Solving chance constrained optimal control problems in aerospace via kernel density estimation.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/solving-chance-constrained-optimal-control-problems-in-aerospace-via-kernel-density-estimation.
BibTeX @misc{4ortxyz_solving-chance-constrained-optimal-control-problems-in-aerospace-via-kernel-density-estimation_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Solving chance constrained optimal control problems in aerospace via kernel density estimation}}, year = {2026}, url = {https://4ort.xyz/entity/solving-chance-constrained-optimal-control-problems-in-aerospace-via-kernel-density-estimation}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Solving chance constrained optimal control problems in aerospace via kernel density estimation — https://4ort.xyz/entity/solving-chance-constrained-optimal-control-problems-in-aerospace-via-kernel-density-estimation (retrieved 2026-05-24)

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