{"id":"https://openalex.org/W4390357750","doi":"https://doi.org/10.1109/lcsys.2023.3347809","title":"Safety-Guaranteed Learning-Based Flocking Control Design","display_name":"Safety-Guaranteed Learning-Based Flocking Control Design","publication_year":2023,"publication_date":"2023-12-28","ids":{"openalex":"https://openalex.org/W4390357750","doi":"https://doi.org/10.1109/lcsys.2023.3347809"},"language":"en","primary_location":{"id":"doi:10.1109/lcsys.2023.3347809","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lcsys.2023.3347809","pdf_url":null,"source":{"id":"https://openalex.org/S4306422535","display_name":"IEEE Control Systems Letters","issn_l":"2475-1456","issn":["2475-1456"],"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 Control Systems Letters","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/A5100674094","display_name":"Mingzhe Liu","orcid":"https://orcid.org/0000-0001-7054-997X"},"institutions":[{"id":"https://openalex.org/I55732556","display_name":"Arizona State University","ror":"https://ror.org/03efmqc40","country_code":"US","type":"education","lineage":["https://openalex.org/I55732556"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Mingzhe Liu","raw_affiliation_strings":["Polytechnic School, Arizona State University, Mesa, AZ, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Polytechnic School, Arizona State University, Mesa, AZ, USA","institution_ids":["https://openalex.org/I55732556"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5039958900","display_name":"Yan Chen","orcid":"https://orcid.org/0000-0003-3429-904X"},"institutions":[{"id":"https://openalex.org/I55732556","display_name":"Arizona State University","ror":"https://ror.org/03efmqc40","country_code":"US","type":"education","lineage":["https://openalex.org/I55732556"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yan Chen","raw_affiliation_strings":["Polytechnic School, Arizona State University, Mesa, AZ, USA"],"raw_orcid":"https://orcid.org/0000-0003-3429-904X","affiliations":[{"raw_affiliation_string":"Polytechnic School, Arizona State University, Mesa, AZ, USA","institution_ids":["https://openalex.org/I55732556"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I55732556"],"apc_list":null,"apc_paid":null,"fwci":1.607,"has_fulltext":false,"cited_by_count":12,"citation_normalized_percentile":{"value":0.83674367,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":96,"max":99},"biblio":{"volume":"8","issue":null,"first_page":"19","last_page":"24"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10249","display_name":"Distributed Control Multi-Agent Systems","score":0.9973000288009644,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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/T10249","display_name":"Distributed Control Multi-Agent Systems","score":0.9973000288009644,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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":0.9926000237464905,"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/T10711","display_name":"Target Tracking and Data Fusion in Sensor Networks","score":0.9824000000953674,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/flocking","display_name":"Flocking (texture)","score":0.9774563908576965},{"id":"https://openalex.org/keywords/collision","display_name":"Collision","score":0.6696847081184387},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.638325035572052},{"id":"https://openalex.org/keywords/reinforcement-learning","display_name":"Reinforcement learning","score":0.4394863247871399},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3931957185268402},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.16375315189361572}],"concepts":[{"id":"https://openalex.org/C2781220375","wikidata":"https://www.wikidata.org/wiki/Q814208","display_name":"Flocking (texture)","level":2,"score":0.9774563908576965},{"id":"https://openalex.org/C121704057","wikidata":"https://www.wikidata.org/wiki/Q352070","display_name":"Collision","level":2,"score":0.6696847081184387},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.638325035572052},{"id":"https://openalex.org/C97541855","wikidata":"https://www.wikidata.org/wiki/Q830687","display_name":"Reinforcement learning","level":2,"score":0.4394863247871399},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3931957185268402},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.16375315189361572},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.0},{"id":"https://openalex.org/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/lcsys.2023.3347809","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lcsys.2023.3347809","pdf_url":null,"source":{"id":"https://openalex.org/S4306422535","display_name":"IEEE Control Systems Letters","issn_l":"2475-1456","issn":["2475-1456"],"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 Control Systems Letters","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G5374656097","display_name":null,"funder_award_id":"N00014-21-1-2403","funder_id":"https://openalex.org/F4320337345","funder_display_name":"Office of Naval Research"}],"funders":[{"id":"https://openalex.org/F4320337345","display_name":"Office of Naval Research","ror":"https://ror.org/00rk2pe57"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":25,"referenced_works":["https://openalex.org/W1508718255","https://openalex.org/W2105850748","https://openalex.org/W2145339207","https://openalex.org/W2172498959","https://openalex.org/W2345097924","https://openalex.org/W2403130913","https://openalex.org/W2560504659","https://openalex.org/W2588802774","https://openalex.org/W2905966811","https://openalex.org/W2966735560","https://openalex.org/W3002604519","https://openalex.org/W3003676835","https://openalex.org/W3028390007","https://openalex.org/W3035458768","https://openalex.org/W3038780833","https://openalex.org/W3056510116","https://openalex.org/W3119686839","https://openalex.org/W3196562632","https://openalex.org/W3209562766","https://openalex.org/W4234406933","https://openalex.org/W4285119242","https://openalex.org/W4312324560","https://openalex.org/W4315488739","https://openalex.org/W4389609808","https://openalex.org/W6760725535"],"related_works":["https://openalex.org/W2748952813","https://openalex.org/W3196562632","https://openalex.org/W2530977643","https://openalex.org/W4318822799","https://openalex.org/W1989157904","https://openalex.org/W3099149755","https://openalex.org/W1481047111","https://openalex.org/W2357545018","https://openalex.org/W2033806705","https://openalex.org/W2886925251"],"abstract_inverted_index":{"This":[0],"letter":[1],"aims":[2],"to":[3,32,42,72,85,111],"develop":[4],"a":[5,20,26,60,100],"new":[6],"learning-based":[7],"flocking":[8,22,38,56,114],"control":[9,23,90,101,149],"framework":[10,91,120],"that":[11],"ensures":[12],"inter-agent":[13,51,64],"free":[14],"collision.":[15],"To":[16,96],"achieve":[17],"this":[18,98],"goal,":[19],"leader-following":[21,55],"based":[24],"on":[25,94],"deep":[27],"Q-network":[28],"(DQN)":[29],"is":[30,92,105],"designed":[31],"comply":[33],"with":[34,67,121],"the":[35,43,47,54,88,108,117,128,139,144],"three":[36],"Reynolds\u2019":[37],"rules.":[39],"However,":[40],"due":[41],"inherent":[44],"conflict":[45],"between":[46],"navigation":[48],"attraction":[49],"and":[50,126,134,141,148],"repulsion":[52],"in":[53,80],"scenario,":[57],"there":[58],"exists":[59],"potential":[61],"risk":[62],"of":[63,130,143],"collisions,":[65],"particularly":[66],"limited":[68],"training":[69,81,124],"episodes.":[70],"Failure":[71],"prevent":[73],"such":[74],"collision":[75],"not":[76],"only":[77],"caused":[78],"penalties":[79],"but":[82],"could":[83],"lead":[84],"damage":[86],"when":[87],"proposed":[89,118,145],"executed":[93],"hardware.":[95],"address":[97],"issue,":[99],"barrier":[102],"function":[103,132],"(CBF)":[104],"incorporated":[106],"into":[107],"learning":[109,119,146],"strategy":[110],"ensure":[112],"collision-free":[113],"behavior.":[115],"Moreover,":[116],"CBF":[122],"enhances":[123],"efficiency":[125],"reduces":[127],"complexity":[129],"reward":[131],"design":[133],"tuning.":[135],"Simulation":[136],"results":[137],"demonstrate":[138],"effectiveness":[140],"benefits":[142],"methodology":[147],"framework.":[150]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":6},{"year":2024,"cited_by_count":3}],"updated_date":"2026-07-15T18:14:33.161393","created_date":"2025-10-10T00:00:00"}
