{"id":"https://openalex.org/W3212276600","doi":"https://doi.org/10.1109/taes.2021.3126569","title":"Learning-Based Sliding-Mode Control for Underactuated Deployment of Tethered Space Robot With Limited Input","display_name":"Learning-Based Sliding-Mode Control for Underactuated Deployment of Tethered Space Robot With Limited Input","publication_year":2021,"publication_date":"2021-11-09","ids":{"openalex":"https://openalex.org/W3212276600","doi":"https://doi.org/10.1109/taes.2021.3126569","mag":"3212276600"},"language":"en","primary_location":{"id":"doi:10.1109/taes.2021.3126569","is_oa":false,"landing_page_url":"https://doi.org/10.1109/taes.2021.3126569","pdf_url":null,"source":{"id":"https://openalex.org/S193624734","display_name":"IEEE Transactions on Aerospace and Electronic Systems","issn_l":"0018-9251","issn":["0018-9251","1557-9603","2371-9877"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Aerospace and Electronic Systems","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5028318732","display_name":"Zhiqiang Ma","orcid":"https://orcid.org/0000-0002-6791-1162"},"institutions":[{"id":"https://openalex.org/I17145004","display_name":"Northwestern Polytechnical University","ror":"https://ror.org/01y0j0j86","country_code":"CN","type":"education","lineage":["https://openalex.org/I17145004"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhiqiang Ma","raw_affiliation_strings":["Northwestern Polytechnical University, Xi&#x2019;an, China"],"raw_orcid":"https://orcid.org/0000-0002-6791-1162","affiliations":[{"raw_affiliation_string":"Northwestern Polytechnical University, Xi&#x2019;an, China","institution_ids":["https://openalex.org/I17145004"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5091127758","display_name":"Panfeng Huang","orcid":"https://orcid.org/0000-0002-5132-9602"},"institutions":[{"id":"https://openalex.org/I17145004","display_name":"Northwestern Polytechnical University","ror":"https://ror.org/01y0j0j86","country_code":"CN","type":"education","lineage":["https://openalex.org/I17145004"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Panfeng Huang","raw_affiliation_strings":["Northwestern Polytechnical University, Xi&#x2019;an, China"],"raw_orcid":"https://orcid.org/0000-0002-5132-9602","affiliations":[{"raw_affiliation_string":"Northwestern Polytechnical University, Xi&#x2019;an, China","institution_ids":["https://openalex.org/I17145004"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5004605886","display_name":"Yuxin Lin","orcid":"https://orcid.org/0000-0001-9887-140X"},"institutions":[{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuxin Lin","raw_affiliation_strings":["Beihang University, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0001-9887-140X","affiliations":[{"raw_affiliation_string":"Beihang University, Beijing, China","institution_ids":["https://openalex.org/I82880672"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":2045,"currency":"USD","value_usd":2045},"apc_paid":null,"fwci":2.6763,"has_fulltext":false,"cited_by_count":26,"citation_normalized_percentile":{"value":0.91228143,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":"58","issue":"3","first_page":"2026","last_page":"2038"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12794","display_name":"Adaptive Dynamic Programming Control","score":0.9993000030517578,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T12794","display_name":"Adaptive Dynamic Programming Control","score":0.9993000030517578,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10040","display_name":"Adaptive Control of Nonlinear Systems","score":0.9933000206947327,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10675","display_name":"Mechanical Circulatory Support Devices","score":0.9595000147819519,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/sliding-mode-control","display_name":"Sliding mode control","score":0.7059161067008972},{"id":"https://openalex.org/keywords/control-theory","display_name":"Control theory (sociology)","score":0.6903619766235352},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.6330428123474121},{"id":"https://openalex.org/keywords/reinforcement-learning","display_name":"Reinforcement learning","score":0.5787839293479919},{"id":"https://openalex.org/keywords/state-space","display_name":"State space","score":0.5448063611984253},{"id":"https://openalex.org/keywords/optimal-control","display_name":"Optimal control","score":0.49642711877822876},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4898504912853241},{"id":"https://openalex.org/keywords/nonlinear-system","display_name":"Nonlinear system","score":0.4833252429962158},{"id":"https://openalex.org/keywords/underactuation","display_name":"Underactuation","score":0.47016140818595886},{"id":"https://openalex.org/keywords/backstepping","display_name":"Backstepping","score":0.46038010716438293},{"id":"https://openalex.org/keywords/bellman-equation","display_name":"Bellman equation","score":0.43452197313308716},{"id":"https://openalex.org/keywords/function-approximation","display_name":"Function approximation","score":0.42126256227493286},{"id":"https://openalex.org/keywords/trajectory","display_name":"Trajectory","score":0.41665130853652954},{"id":"https://openalex.org/keywords/robot","display_name":"Robot","score":0.4156060516834259},{"id":"https://openalex.org/keywords/adaptive-control","display_name":"Adaptive control","score":0.348630428314209},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.32915669679641724},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.29315704107284546},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.17930209636688232},{"id":"https://openalex.org/keywords/control","display_name":"Control (management)","score":0.10125264525413513}],"concepts":[{"id":"https://openalex.org/C36662352","wikidata":"https://www.wikidata.org/wiki/Q6008560","display_name":"Sliding mode control","level":3,"score":0.7059161067008972},{"id":"https://openalex.org/C47446073","wikidata":"https://www.wikidata.org/wiki/Q5165890","display_name":"Control theory (sociology)","level":3,"score":0.6903619766235352},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.6330428123474121},{"id":"https://openalex.org/C97541855","wikidata":"https://www.wikidata.org/wiki/Q830687","display_name":"Reinforcement learning","level":2,"score":0.5787839293479919},{"id":"https://openalex.org/C72434380","wikidata":"https://www.wikidata.org/wiki/Q230930","display_name":"State space","level":2,"score":0.5448063611984253},{"id":"https://openalex.org/C91575142","wikidata":"https://www.wikidata.org/wiki/Q1971426","display_name":"Optimal control","level":2,"score":0.49642711877822876},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4898504912853241},{"id":"https://openalex.org/C158622935","wikidata":"https://www.wikidata.org/wiki/Q660848","display_name":"Nonlinear system","level":2,"score":0.4833252429962158},{"id":"https://openalex.org/C88337583","wikidata":"https://www.wikidata.org/wiki/Q7883433","display_name":"Underactuation","level":3,"score":0.47016140818595886},{"id":"https://openalex.org/C72218879","wikidata":"https://www.wikidata.org/wiki/Q4839759","display_name":"Backstepping","level":4,"score":0.46038010716438293},{"id":"https://openalex.org/C14646407","wikidata":"https://www.wikidata.org/wiki/Q1430750","display_name":"Bellman equation","level":2,"score":0.43452197313308716},{"id":"https://openalex.org/C91873725","wikidata":"https://www.wikidata.org/wiki/Q3445816","display_name":"Function approximation","level":3,"score":0.42126256227493286},{"id":"https://openalex.org/C13662910","wikidata":"https://www.wikidata.org/wiki/Q193139","display_name":"Trajectory","level":2,"score":0.41665130853652954},{"id":"https://openalex.org/C90509273","wikidata":"https://www.wikidata.org/wiki/Q11012","display_name":"Robot","level":2,"score":0.4156060516834259},{"id":"https://openalex.org/C107464732","wikidata":"https://www.wikidata.org/wiki/Q235781","display_name":"Adaptive control","level":3,"score":0.348630428314209},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.32915669679641724},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.29315704107284546},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.17930209636688232},{"id":"https://openalex.org/C2775924081","wikidata":"https://www.wikidata.org/wiki/Q55608371","display_name":"Control (management)","level":2,"score":0.10125264525413513},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C1276947","wikidata":"https://www.wikidata.org/wiki/Q333","display_name":"Astronomy","level":1,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/taes.2021.3126569","is_oa":false,"landing_page_url":"https://doi.org/10.1109/taes.2021.3126569","pdf_url":null,"source":{"id":"https://openalex.org/S193624734","display_name":"IEEE Transactions on Aerospace and Electronic Systems","issn_l":"0018-9251","issn":["0018-9251","1557-9603","2371-9877"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Aerospace and Electronic Systems","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G4320330719","display_name":null,"funder_award_id":"91848205","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5140357975","display_name":null,"funder_award_id":"62103333","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":32,"referenced_works":["https://openalex.org/W1964964021","https://openalex.org/W1977277930","https://openalex.org/W1977280078","https://openalex.org/W1980801308","https://openalex.org/W1983523797","https://openalex.org/W1984420709","https://openalex.org/W2013036394","https://openalex.org/W2059722814","https://openalex.org/W2086975818","https://openalex.org/W2122850819","https://openalex.org/W2156051490","https://openalex.org/W2171245641","https://openalex.org/W2214816543","https://openalex.org/W2327495330","https://openalex.org/W2337290239","https://openalex.org/W2593469813","https://openalex.org/W2782640720","https://openalex.org/W2790630269","https://openalex.org/W2795974647","https://openalex.org/W2886451764","https://openalex.org/W2887214314","https://openalex.org/W2926821366","https://openalex.org/W2944575527","https://openalex.org/W2944896470","https://openalex.org/W2980513282","https://openalex.org/W3005411308","https://openalex.org/W3009122075","https://openalex.org/W3040400506","https://openalex.org/W3055369556","https://openalex.org/W3088521775","https://openalex.org/W3092602896","https://openalex.org/W3164538285"],"related_works":["https://openalex.org/W2500162090","https://openalex.org/W2046770915","https://openalex.org/W2217718355","https://openalex.org/W3205444542","https://openalex.org/W1498122250","https://openalex.org/W2036311230","https://openalex.org/W1501190258","https://openalex.org/W4256087190","https://openalex.org/W4240668504","https://openalex.org/W2788366696"],"abstract_inverted_index":{"This":[0],"article":[1],"proposes":[2],"a":[3],"learning-based":[4],"adaptive":[5,93],"sliding-mode":[6],"control":[7],"for":[8,69,81],"the":[9,23,29,39,50,53,58,64,70,74,89,105,115,123,131,135,143,146],"underactuted":[10],"deployment":[11,136],"of":[12,60,78,99,134,137,145],"tethered":[13,138],"space":[14,139],"robot":[15,140],"with":[16],"limited":[17,79],"input.":[18],"The":[19,96,127],"reduced-order":[20],"system":[21],"on":[22,63],"sliding":[24,65],"surface":[25,66],"is":[26,56,67,102],"optimized":[27],"by":[28,88,114],"critic":[30],"neural":[31,91,117],"network-based":[32,92,118],"nearly":[33,75],"optimal":[34,76,106],"approximation":[35],"algorithm,":[36],"and":[37,41,73,109],"both":[38],"linear":[40],"nonlinear":[42],"situations":[43],"are":[44],"taken":[45],"into":[46,104],"account.":[47],"To":[48],"remove":[49],"assumption":[51],"that":[52],"state-dependent":[54],"disturbance":[55],"vanishing,":[57],"behavior":[59],"state":[61],"synchronization":[62],"revealed":[68],"first":[71],"time,":[72],"solution":[77],"input":[80,101],"generating":[82],"stable":[83],"trajectory":[84],"can":[85,111],"be":[86,112],"approximated":[87],"actor":[90],"dynamic":[94],"programming.":[95],"hyperbolic":[97],"tangent":[98],"desired":[100],"synthesized":[103],"value":[107],"function,":[108],"it":[110],"obtained":[113],"actor-critic":[116],"reinforcement":[119],"learning":[120],"algorithm":[121],"solving":[122],"corresponding":[124],"Hamilton\u2013Jacobi\u2013Bellman":[125],"equation.":[126],"numerical":[128,132],"simulation":[129],"takes":[130],"example":[133],"to":[141],"verify":[142],"effectiveness":[144],"proposed":[147],"method.":[148]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":5},{"year":2024,"cited_by_count":11},{"year":2023,"cited_by_count":8},{"year":2022,"cited_by_count":1}],"updated_date":"2026-08-28T12:50:07.497085","created_date":"2025-10-10T00:00:00"}
