Design and Flight Test of an Intelligent Flight Control System-Reference-Cited by-同舟云学术

登录注册会员服务联系我们

Design and Flight Test of an Intelligent Flight Control System

Published:2010 Issue: Volume: Page:57-76
ISSN:1860-949X
Container-title:Studies in Computational Intelligence
language:
Short-container-title:

Author:

Smith Tim,Barhorst Jim,Urnes James M.

Publisher

Springer Berlin Heidelberg

Link

http://link.springer.com/content/pdf/10.1007/978-3-642-10690-3_4

Reference14 articles.

1. Hageman, J., Smith, M., Stachowiak, S.: Integration of Online Parameter Identification and Neural Network for In-flight Adaptive Control. Technical Report TR-2003-212028, NASA (2003)

2. Williams-Hayes, P.S.: Selected Flight Test Results for Online Learning Neural Network-Based Flight Control System. Technical Report TR-2004-212857 (2004)

3. Burken, J., Williams-Hayes, P.S., Kaneshige, J., Stachowiak, S.: Reconfigurable Control with Neural Network Augmentation for a Modified F-15 Aircraft. Technical Report TR-2006-213678, NASA (2006)

4. Soares, F., Burken, J.: A Flight Test Demonstration of On-line Neural Network Applications in Advanced Aircraft Flight Control System. In: International Conference on Computational Intelligence for Modeling Control and Automation and International Conference on Intelligent Agents Web Technologies and International Commerce (CIMCA), p. 136 (2006)

5. Dryden Flight Research Center Policy. Dryden Centerwide Procedure. Code S, Software Assurance, DCP-S-007, Revision B

Cited by 2 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. Model Based Test Framework for verification of Flight Control Software;2023 International Conference on Computer, Electrical & Communication Engineering (ICCECE);2023-01-20

2. Development of software package for determination of dynamic characteristics of an automated control system with human participation;THE INTERNATIONAL CONFERENCE ON BATTERY FOR RENEWABLE ENERGY AND ELECTRIC VEHICLES (ICB-REV) 2022;2023

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