⌘+K

Pulse Explore Communities Researchers Journals

Home Communities Explore

February 14, 2026Journal of Japan Society for Fuzzy Theory and Intelligent InformaticsOpen Access

Optimization of Flight Paths for Mars Exploration Aircraft Considering Uncertainty Due to Wind Disturbance

Shoshi KUDO Yuji Takubo Masahiro KANAZAKI

View Full Paper

Ask AI

Bookmark

Share

Key Points

Strong tailwinds promote nose-up attitudes, thus increasing flight duration and affecting overall flight paths.
Significant headwinds hinder nose-up attitudes, leading to reduced flight time and distance traversed during missions.
Robust optimization applies evolutionary algorithms and polynomial chaos expansion to address uncertainties in flight.
Findings guide future planning and control profiles for Mars exploration missions based on aerodynamic data.

Implication

Observational analysis reveals how wind disturbance affects flight paths for Mars exploration aircraft, suggesting optimized control strategies.

Abstract

No abstract yet. The journal hasn't published one we can show.

Discussion

No takes yet. Share an insight, caveat, or question.

Cite This Study

KUDO et al. (2026) studied this question.

synapsesocial.com/papers/69a76118c6e9836116a2eb10 https://doi.org/10.3156/jsoft.38.1_555

View Full Paper

Ask AI

Bookmark

Share

Keep reading

Synapse has enriched 5 related papers. Consider them for comparative context:

1Design of the ARES Mars Airplane and Mission ArchitectureOriginal Research · 2006 · 119 citations
2A fast and elitist multiobjective genetic algorithm: NSGA-IIOriginal Research · 2002 · 49,918 citations
3Collective Intelligence + Evolutionary ComputationJournal of Japan Society for Fuzzy Theory and Intelligent Informatics · 2026
4Dynamic Time Warping in GPDM Latent Space for Motion AnalysisJournal of Japan Society for Fuzzy Theory and Intelligent Informatics · 2026
5Motor Rotational Speed Estimation for Mini 4WD AI Using a Novel Frequency Interpolation Algorithm with a Hanning WindowJournal of Japan Society for Fuzzy Theory and Intelligent Informatics · 2026

Extraction of Onomatopoeia Co-Occurrence Patterns and Analysis of Sales Trends in C2C Product DescriptionsJournal of Japan Society for Fuzzy Theory and Intelligent Informatics · 2026
Fuzzy Clustering-Induced Switching Reinforcement Learning with Deterministic AnnealingJournal of Japan Society for Fuzzy Theory and Intelligent Informatics · 2026
Knowledge Transfer from Human to Animal Pose Estimation Using Task Editing in Small-Scale DatasetsJournal of Japan Society for Fuzzy Theory and Intelligent Informatics · 2026
Analyzing Interest Structures of Regional Railways by Demand Type with LLMJournal of Japan Society for Fuzzy Theory and Intelligent Informatics · 2026
Development of a Species Classification Model Using Infrared Images for Smart Wildlife Damage ManagementJournal of Japan Society for Fuzzy Theory and Intelligent Informatics · 2026

More from Journal of Japan Society for Fuzzy Theory and Intelligent Informatics