Data-Driven Method for Flow Sensing of Aerodynamic Parameters Using Distributed Pressure Measurements-Reference-Cited by-同舟云学术

登录注册会员服务联系我们

Data-Driven Method for Flow Sensing of Aerodynamic Parameters Using Distributed Pressure Measurements

Published:2021-09 Issue:9 Volume:59 Page:3504-3516
ISSN:0001-1452
Container-title:AIAA Journal
language:en
Short-container-title:AIAA Journal

Author:

Zhou Kaiwen¹,Zhou Luanliang¹,Zhao Simeng¹,Qiang Xingyu¹,Liu Yingzheng¹,Wen Xin¹

Affiliation:

1. Shanghai Jiao Tong University, 200240 Shanghai, People’s Republic of China

Funder

National Natural Science Foundation of China

Science and Technology Commission of Shanghai Municipality

Key Laboratory of Aerodynamic Noise Control

Publisher

American Institute of Aeronautics and Astronautics (AIAA)

Subject

Aerospace Engineering

Link

https://arc.aiaa.org/doi/pdf/10.2514/1.J060118

Reference33 articles.

1. On‐line system identification for aircraft with distributed control effectors

2. Aerodynamic benefits of adaptive wing technology

3. Autonomous Sensor Nodes for Aircraft Structural Health Monitoring

4. Application of a flush airdata sensing system to a wing leading edge(LE-FADS)

Cited by 11 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Angle-of-attack and angle-of-sideslip estimation and complementary filter design for civil aircraft;ISA Transactions;2024-08

2. Bioinspired Artificial Hair Sensors for Flight-by-Feel of Unmanned Aerial Vehicles: A Review;AIAA Journal;2023-12

3. Fault-tolerant FADS system development for a hypersonic vehicle via neural network algorithms;Theoretical and Applied Mechanics Letters;2023-09

4. Parallel crosschecking neural network based fault-tolerant flight parameter estimation and faulty sensor identification;Engineering Applications of Artificial Intelligence;2023-08

5. Parametric unsteady flow modeling by using meta learning;Engineering Applications of Artificial Intelligence;2023-05

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线，采集、加工和组织学术论文而形成的新型学术文献查询和分析系统，可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容，当前同舟云学术共收录了国内外主流学术期刊6万余种，收集的期刊论文及会议论文总量共计约1.5亿篇，并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询！咨询电话：010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号京ICP备18003416号-3