{"id":"https://openalex.org/W2555965222","doi":"https://doi.org/10.1109/ijcnn.2016.7727256","title":"Asteroid landing via onboard optimal guidance based on bidirectional extreme learning machine","display_name":"Asteroid landing via onboard optimal guidance based on bidirectional extreme learning machine","publication_year":2016,"publication_date":"2016-07-01","ids":{"openalex":"https://openalex.org/W2555965222","doi":"https://doi.org/10.1109/ijcnn.2016.7727256","mag":"2555965222"},"language":"en","primary_location":{"id":"doi:10.1109/ijcnn.2016.7727256","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn.2016.7727256","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 International Joint Conference on Neural Networks (IJCNN)","raw_type":"proceedings-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/A5100364058","display_name":"Peng Zhang","orcid":"https://orcid.org/0000-0001-9157-543X"},"institutions":[{"id":"https://openalex.org/I194450716","display_name":"Jilin University","ror":"https://ror.org/00js3aw79","country_code":"CN","type":"education","lineage":["https://openalex.org/I194450716"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Peng Zhang","raw_affiliation_strings":["Department of Control Science and Engineering, Jilin University, Changchun, China"],"affiliations":[{"raw_affiliation_string":"Department of Control Science and Engineering, Jilin University, Changchun, China","institution_ids":["https://openalex.org/I194450716"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100754427","display_name":"Xiaosong Liu","orcid":"https://orcid.org/0000-0001-6158-5928"},"institutions":[{"id":"https://openalex.org/I194450716","display_name":"Jilin University","ror":"https://ror.org/00js3aw79","country_code":"CN","type":"education","lineage":["https://openalex.org/I194450716"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaosong Liu","raw_affiliation_strings":["Department of Control Science and Engineering, Jilin University, Changchun, China"],"affiliations":[{"raw_affiliation_string":"Department of Control Science and Engineering, Jilin University, Changchun, China","institution_ids":["https://openalex.org/I194450716"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5074387543","display_name":"Bo Zhao","orcid":"https://orcid.org/0000-0002-7684-7342"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"funder","lineage":["https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bo Zhao","raw_affiliation_strings":["Laboratory of Management and Control for Complex Systems, Chinese Academy of Sciences, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Laboratory of Management and Control for Complex Systems, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102249968","display_name":"Mujun Xie","orcid":null},"institutions":[{"id":"https://openalex.org/I4385474403","display_name":"Changchun University of Technology","ror":"https://ror.org/052pakb34","country_code":null,"type":"education","lineage":["https://openalex.org/I4385474403"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Mujun Xie","raw_affiliation_strings":["Department of Control Engineering, Changchun University of Technology, Changchun, China"],"affiliations":[{"raw_affiliation_string":"Department of Control Engineering, Changchun University of Technology, Changchun, China","institution_ids":["https://openalex.org/I4385474403","https://openalex.org/I4385474403"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5023077721","display_name":"Keping Liu","orcid":"https://orcid.org/0000-0003-2787-4763"},"institutions":[{"id":"https://openalex.org/I4385474403","display_name":"Changchun University of Technology","ror":"https://ror.org/052pakb34","country_code":null,"type":"education","lineage":["https://openalex.org/I4385474403"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Keping Liu","raw_affiliation_strings":["Department of Control Engineering, Changchun University of Technology, Changchun, China"],"affiliations":[{"raw_affiliation_string":"Department of Control Engineering, Changchun University of Technology, Changchun, China","institution_ids":["https://openalex.org/I4385474403","https://openalex.org/I4385474403"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100628297","display_name":"Yuanchun Li","orcid":"https://orcid.org/0000-0002-0989-6312"},"institutions":[{"id":"https://openalex.org/I4385474403","display_name":"Changchun University of Technology","ror":"https://ror.org/052pakb34","country_code":null,"type":"education","lineage":["https://openalex.org/I4385474403"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuanchun Li","raw_affiliation_strings":["Department of Control Engineering, Changchun University of Technology, Changchun, China"],"affiliations":[{"raw_affiliation_string":"Department of Control Engineering, Changchun University of Technology, Changchun, China","institution_ids":["https://openalex.org/I4385474403","https://openalex.org/I4385474403"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5100364058"],"corresponding_institution_ids":["https://openalex.org/I194450716"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.07989465,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"609","last_page":"615"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12676","display_name":"Machine Learning and ELM","score":0.9994999766349792,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T12676","display_name":"Machine Learning and ELM","score":0.9994999766349792,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T10502","display_name":"Advanced Memory and Neural Computing","score":0.9857000112533569,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic 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/T10409","display_name":"Fuel Cells and Related Materials","score":0.9674999713897705,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic 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/extreme-learning-machine","display_name":"Extreme learning machine","score":0.8355181217193604},{"id":"https://openalex.org/keywords/trajectory","display_name":"Trajectory","score":0.6747363209724426},{"id":"https://openalex.org/keywords/trajectory-optimization","display_name":"Trajectory optimization","score":0.6519192457199097},{"id":"https://openalex.org/keywords/spacecraft","display_name":"Spacecraft","score":0.6049104928970337},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5939676761627197},{"id":"https://openalex.org/keywords/soft-landing","display_name":"Soft landing","score":0.5769174695014954},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5525413751602173},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.46399566531181335},{"id":"https://openalex.org/keywords/monte-carlo-method","display_name":"Monte Carlo method","score":0.43270188570022583},{"id":"https://openalex.org/keywords/control-theory","display_name":"Control theory (sociology)","score":0.4090762734413147},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.39044249057769775},{"id":"https://openalex.org/keywords/simulation","display_name":"Simulation","score":0.3415428400039673},{"id":"https://openalex.org/keywords/aerospace-engineering","display_name":"Aerospace engineering","score":0.3270612359046936},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.20897582173347473},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.164610356092453},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.13083872199058533}],"concepts":[{"id":"https://openalex.org/C2780150128","wikidata":"https://www.wikidata.org/wiki/Q21948731","display_name":"Extreme learning machine","level":3,"score":0.8355181217193604},{"id":"https://openalex.org/C13662910","wikidata":"https://www.wikidata.org/wiki/Q193139","display_name":"Trajectory","level":2,"score":0.6747363209724426},{"id":"https://openalex.org/C173246807","wikidata":"https://www.wikidata.org/wiki/Q7833062","display_name":"Trajectory optimization","level":3,"score":0.6519192457199097},{"id":"https://openalex.org/C29829512","wikidata":"https://www.wikidata.org/wiki/Q40218","display_name":"Spacecraft","level":2,"score":0.6049104928970337},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5939676761627197},{"id":"https://openalex.org/C65424074","wikidata":"https://www.wikidata.org/wiki/Q2221605","display_name":"Soft landing","level":2,"score":0.5769174695014954},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5525413751602173},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.46399566531181335},{"id":"https://openalex.org/C19499675","wikidata":"https://www.wikidata.org/wiki/Q232207","display_name":"Monte Carlo method","level":2,"score":0.43270188570022583},{"id":"https://openalex.org/C47446073","wikidata":"https://www.wikidata.org/wiki/Q5165890","display_name":"Control theory (sociology)","level":3,"score":0.4090762734413147},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.39044249057769775},{"id":"https://openalex.org/C44154836","wikidata":"https://www.wikidata.org/wiki/Q45045","display_name":"Simulation","level":1,"score":0.3415428400039673},{"id":"https://openalex.org/C146978453","wikidata":"https://www.wikidata.org/wiki/Q3798668","display_name":"Aerospace engineering","level":1,"score":0.3270612359046936},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.20897582173347473},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.164610356092453},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.13083872199058533},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C2775924081","wikidata":"https://www.wikidata.org/wiki/Q55608371","display_name":"Control (management)","level":2,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"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/C139719470","wikidata":"https://www.wikidata.org/wiki/Q39680","display_name":"Macroeconomics","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ijcnn.2016.7727256","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn.2016.7727256","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 International Joint Conference on Neural Networks (IJCNN)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":14,"referenced_works":["https://openalex.org/W1973372614","https://openalex.org/W1973433968","https://openalex.org/W1992322443","https://openalex.org/W1993717606","https://openalex.org/W2013307926","https://openalex.org/W2030486851","https://openalex.org/W2069910549","https://openalex.org/W2082136960","https://openalex.org/W2111072639","https://openalex.org/W2120675186","https://openalex.org/W2141695047","https://openalex.org/W2160468281","https://openalex.org/W2170225438","https://openalex.org/W2216749783"],"related_works":["https://openalex.org/W4385832323","https://openalex.org/W2356996864","https://openalex.org/W4244391535","https://openalex.org/W2015393961","https://openalex.org/W2904060783","https://openalex.org/W2378339670","https://openalex.org/W2359353485","https://openalex.org/W2139910871","https://openalex.org/W2361427670","https://openalex.org/W2103358058"],"abstract_inverted_index":{"In":[0],"order":[1],"to":[2,64,77],"autonomously":[3],"design":[4,65],"the":[5,21,47,66,79,82,86,90,103,106,111,114],"optimal":[6,67],"descending":[7,68],"trajectory":[8,69],"for":[9],"spacecraft":[10],"soft":[11,115],"landing":[12,116],"on":[13,20,46],"an":[14,16],"asteroid,":[15],"onboard":[17],"guidance":[18,104],"based":[19,45],"bidirectional":[22],"extreme":[23],"learning":[24,87,120],"machine":[25],"(B-ELM)":[26],"is":[27,32,62,92],"proposed.":[28],"The":[29],"optimization":[30],"problem":[31,41],"formulated":[33],"and":[34,121],"transformed":[35],"into":[36],"a":[37,52,118],"two-point":[38],"boundary":[39],"value":[40],"(TPBVP).":[42],"And":[43],"then,":[44],"sample":[48],"trajectories":[49],"obtained":[50],"off-line,":[51],"single-hidden":[53],"layer":[54],"feed-forward":[55],"neural":[56],"network":[57],"(SLFN)":[58],"trained":[59,108],"by":[60],"B-ELM":[61,91,107],"employed":[63],"onboard.":[70],"Finally,":[71],"Monte":[72],"Carlo":[73],"simulations":[74],"are":[75],"performed":[76],"verify":[78],"effectiveness":[80],"of":[81,89,113],"proposed":[83],"guidance.":[84],"Also,":[85],"process":[88],"compared":[93],"with":[94],"traditional":[95],"algorithms":[96],"in":[97,117],"simulations.":[98],"Simulation":[99],"results":[100],"show":[101],"that":[102],"via":[105],"SLFN":[109],"meets":[110],"requirement":[112],"lower":[119],"implementation":[122],"cost.":[123]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2020,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}