Learning-Based Onboard Guidance for Fuel-Optimal Powered Descent

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:Journal of guidance, control, and dynamics control, and dynamics, 2021-03, Vol.44 (3), p.601-613
Hauptverfasser: You, Sixiong, Wan, Changhuang, Dai, Ran, Rea, Jeremy R
Format: Artikel
Sprache:eng
Schlagworte:
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
container_end_page 613
container_issue 3
container_start_page 601
container_title Journal of guidance, control, and dynamics
container_volume 44
creator You, Sixiong
Wan, Changhuang
Dai, Ran
Rea, Jeremy R
description
doi_str_mv 10.2514/1.G004928
format Article
fullrecord <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_journals_2494680990</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>2494680990</sourcerecordid><originalsourceid>FETCH-LOGICAL-c320t-e4a166b62d0f8926433c64b8b4b7cf80b1ae41be6fb1e8833aa1edba140ba6ee3</originalsourceid><addsrcrecordid>eNp9kDFPwzAUhC0EEqUw8A8iMTGk-NmvjrMBhQakSGGA2bKTF5QqJMFOhPj3BLUDE9Pd8OlOd4xdAl-JNeANrDLOMRX6iC1gLWUstcbjP_6UnYWw4xykgmTBbnOyvmu69_jeBqqionO99VWUTU1lu5KiuvfRdqI2Loax-bBt9NJ_kZ_JBwoldeM5O6ltG-jioEv2tn183TzFeZE9b-7yuJSCjzGhBaWcEhWvdSoUSlkqdNqhS8pacweWEByp2gFpLaW1QJWzgNxZRSSX7GqfO_j-c6Iwml0_-W6uNAJTVJqnKf-fSiSiSDXM1PWeKn0fgqfaDH7e5r8NcPN7owFzuFH-AMEzYp0</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2473442981</pqid></control><display><type>article</type><title>Learning-Based Onboard Guidance for Fuel-Optimal Powered Descent</title><source>Alma/SFX Local Collection</source><creator>You, Sixiong ; Wan, Changhuang ; Dai, Ran ; Rea, Jeremy R</creator><creatorcontrib>You, Sixiong ; Wan, Changhuang ; Dai, Ran ; Rea, Jeremy R</creatorcontrib><identifier>ISSN: 1533-3884</identifier><identifier>ISSN: 0731-5090</identifier><identifier>EISSN: 1533-3884</identifier><identifier>DOI: 10.2514/1.G004928</identifier><language>eng</language><publisher>Reston: American Institute of Aeronautics and Astronautics</publisher><subject>Aeronautics ; Control theory ; Convex analysis ; Methods ; Neural networks ; Optimization</subject><ispartof>Journal of guidance, control, and dynamics, 2021-03, Vol.44 (3), p.601-613</ispartof><rights>Copyright © 2020 by the American Institute of Aeronautics and Astronautics, Inc. All rights reserved. All requests for copying and permission to reprint should be submitted to CCC at www.copyright.com; employ the eISSN 1533-3884 to initiate your request. See also AIAA Rights and Permissions www.aiaa.org/randp.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c320t-e4a166b62d0f8926433c64b8b4b7cf80b1ae41be6fb1e8833aa1edba140ba6ee3</citedby><cites>FETCH-LOGICAL-c320t-e4a166b62d0f8926433c64b8b4b7cf80b1ae41be6fb1e8833aa1edba140ba6ee3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,778,782,27911,27912</link.rule.ids></links><search><creatorcontrib>You, Sixiong</creatorcontrib><creatorcontrib>Wan, Changhuang</creatorcontrib><creatorcontrib>Dai, Ran</creatorcontrib><creatorcontrib>Rea, Jeremy R</creatorcontrib><title>Learning-Based Onboard Guidance for Fuel-Optimal Powered Descent</title><title>Journal of guidance, control, and dynamics</title><subject>Aeronautics</subject><subject>Control theory</subject><subject>Convex analysis</subject><subject>Methods</subject><subject>Neural networks</subject><subject>Optimization</subject><issn>1533-3884</issn><issn>0731-5090</issn><issn>1533-3884</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2021</creationdate><recordtype>article</recordtype><recordid>eNp9kDFPwzAUhC0EEqUw8A8iMTGk-NmvjrMBhQakSGGA2bKTF5QqJMFOhPj3BLUDE9Pd8OlOd4xdAl-JNeANrDLOMRX6iC1gLWUstcbjP_6UnYWw4xykgmTBbnOyvmu69_jeBqqionO99VWUTU1lu5KiuvfRdqI2Loax-bBt9NJ_kZ_JBwoldeM5O6ltG-jioEv2tn183TzFeZE9b-7yuJSCjzGhBaWcEhWvdSoUSlkqdNqhS8pacweWEByp2gFpLaW1QJWzgNxZRSSX7GqfO_j-c6Iwml0_-W6uNAJTVJqnKf-fSiSiSDXM1PWeKn0fgqfaDH7e5r8NcPN7owFzuFH-AMEzYp0</recordid><startdate>20210301</startdate><enddate>20210301</enddate><creator>You, Sixiong</creator><creator>Wan, Changhuang</creator><creator>Dai, Ran</creator><creator>Rea, Jeremy R</creator><general>American Institute of Aeronautics and Astronautics</general><scope>AAYXX</scope><scope>CITATION</scope><scope>7SC</scope><scope>7SP</scope><scope>7TB</scope><scope>8FD</scope><scope>FR3</scope><scope>H8D</scope><scope>JQ2</scope><scope>L7M</scope><scope>L~C</scope><scope>L~D</scope></search><sort><creationdate>20210301</creationdate><title>Learning-Based Onboard Guidance for Fuel-Optimal Powered Descent</title><author>You, Sixiong ; Wan, Changhuang ; Dai, Ran ; Rea, Jeremy R</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c320t-e4a166b62d0f8926433c64b8b4b7cf80b1ae41be6fb1e8833aa1edba140ba6ee3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2021</creationdate><topic>Aeronautics</topic><topic>Control theory</topic><topic>Convex analysis</topic><topic>Methods</topic><topic>Neural networks</topic><topic>Optimization</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>You, Sixiong</creatorcontrib><creatorcontrib>Wan, Changhuang</creatorcontrib><creatorcontrib>Dai, Ran</creatorcontrib><creatorcontrib>Rea, Jeremy R</creatorcontrib><collection>CrossRef</collection><collection>Computer and Information Systems Abstracts</collection><collection>Electronics &amp; Communications Abstracts</collection><collection>Mechanical &amp; Transportation Engineering Abstracts</collection><collection>Technology Research Database</collection><collection>Engineering Research Database</collection><collection>Aerospace Database</collection><collection>ProQuest Computer Science Collection</collection><collection>Advanced Technologies Database with Aerospace</collection><collection>Computer and Information Systems Abstracts – Academic</collection><collection>Computer and Information Systems Abstracts Professional</collection><jtitle>Journal of guidance, control, and dynamics</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>You, Sixiong</au><au>Wan, Changhuang</au><au>Dai, Ran</au><au>Rea, Jeremy R</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Learning-Based Onboard Guidance for Fuel-Optimal Powered Descent</atitle><jtitle>Journal of guidance, control, and dynamics</jtitle><date>2021-03-01</date><risdate>2021</risdate><volume>44</volume><issue>3</issue><spage>601</spage><epage>613</epage><pages>601-613</pages><issn>1533-3884</issn><issn>0731-5090</issn><eissn>1533-3884</eissn><cop>Reston</cop><pub>American Institute of Aeronautics and Astronautics</pub><doi>10.2514/1.G004928</doi><tpages>13</tpages><oa>free_for_read</oa></addata></record>
fulltext fulltext
identifier ISSN: 1533-3884
ispartof Journal of guidance, control, and dynamics, 2021-03, Vol.44 (3), p.601-613
issn 1533-3884
0731-5090
1533-3884
language eng
recordid cdi_proquest_journals_2494680990
source Alma/SFX Local Collection
subjects Aeronautics
Control theory
Convex analysis
Methods
Neural networks
Optimization
title Learning-Based Onboard Guidance for Fuel-Optimal Powered Descent
url https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-15T10%3A14%3A59IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_cross&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Learning-Based%20Onboard%20Guidance%20for%20Fuel-Optimal%20Powered%20Descent&rft.jtitle=Journal%20of%20guidance,%20control,%20and%20dynamics&rft.au=You,%20Sixiong&rft.date=2021-03-01&rft.volume=44&rft.issue=3&rft.spage=601&rft.epage=613&rft.pages=601-613&rft.issn=1533-3884&rft.eissn=1533-3884&rft_id=info:doi/10.2514/1.G004928&rft_dat=%3Cproquest_cross%3E2494680990%3C/proquest_cross%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=2473442981&rft_id=info:pmid/&rfr_iscdi=true