Control parameter tuning for aircraft crosswind landing via multi-solution particle swarm optimization

DOI10.1080/0305215X.2018.1435646OpenAlexW2795830849MaRDI QIDQ5058811

Qi Bian, Xinmin Wang, Brett Nener

Publication date: 23 December 2022

Published in: Engineering Optimization (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/0305215x.2018.1435646

zbMATH Keywords

control parameter optimizationcrosswind landingmulti-solution particle swarm optimization

Mathematics Subject Classification ID

Operations research, mathematical programming (90-XX)

Cites Work

• Grouping genetic algorithms. Advances and applications
• Innovative computational intelligence: a rough guide to 134 clever algorithms
• A comparison of selected modifications of the particle swarm optimization algorithm
• A review of particle swarm optimization. I: Background and development
• Application Of H₂/H_∞Technique To Aircraft Landing Control
• Automatic Control of Aircraft in Lateral-Directional Plane During Landing
• Particle Swarm Optimization
• Design of Full‐Order Observers for Systems with Unknown Inputs by Using the Eigenstructure Assignment

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