{"id":"https://openalex.org/W3090955629","doi":"https://doi.org/10.1109/ccta41146.2020.9206318","title":"Cooperative Target Tracking in Balanced Circular and Elliptical Formations","display_name":"Cooperative Target Tracking in Balanced Circular and Elliptical Formations","publication_year":2020,"publication_date":"2020-08-01","ids":{"openalex":"https://openalex.org/W3090955629","doi":"https://doi.org/10.1109/ccta41146.2020.9206318","mag":"3090955629"},"language":"en","primary_location":{"id":"doi:10.1109/ccta41146.2020.9206318","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ccta41146.2020.9206318","pdf_url":null,"source":{"id":"https://openalex.org/S4306498667","display_name":"2020 IEEE Conference on Control Technology and Applications (CCTA)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE Conference on Control Technology and Applications (CCTA)","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/A5101105149","display_name":"Lili Ma","orcid":"https://orcid.org/0000-0003-2892-7257"},"institutions":[{"id":"https://openalex.org/I76513827","display_name":"New York City College of Technology","ror":"https://ror.org/021a7pw18","country_code":"US","type":"education","lineage":["https://openalex.org/I76513827"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Lili Ma","raw_affiliation_strings":["Dept. of Computer Engineering Technology, New York City College of Technology, Brooklyn, NY"],"affiliations":[{"raw_affiliation_string":"Dept. of Computer Engineering Technology, New York City College of Technology, Brooklyn, NY","institution_ids":["https://openalex.org/I76513827"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5029998748","display_name":"Naira Hovakimyan","orcid":"https://orcid.org/0000-0003-3850-1073"},"institutions":[{"id":"https://openalex.org/I157725225","display_name":"University of Illinois Urbana-Champaign","ror":"https://ror.org/047426m28","country_code":"US","type":"education","lineage":["https://openalex.org/I157725225"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Naira Hovakimyan","raw_affiliation_strings":["Mechanical Science and Engineering, Univ. of Illinois at Urbana-Champaign, Urbana, IL"],"affiliations":[{"raw_affiliation_string":"Mechanical Science and Engineering, Univ. of Illinois at Urbana-Champaign, Urbana, IL","institution_ids":["https://openalex.org/I157725225"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5101105149"],"corresponding_institution_ids":["https://openalex.org/I76513827"],"apc_list":null,"apc_paid":null,"fwci":0.5546,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.58321546,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":96},"biblio":{"volume":"2","issue":null,"first_page":"49","last_page":"56"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10249","display_name":"Distributed Control Multi-Agent Systems","score":0.9998999834060669,"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":0.9998999834060669,"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/T12158","display_name":"Guidance and Control Systems","score":0.9991000294685364,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace 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/T11133","display_name":"UAV Applications and Optimization","score":0.9983999729156494,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace 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/radius","display_name":"RADIUS","score":0.7205290198326111},{"id":"https://openalex.org/keywords/double-integrator","display_name":"Double integrator","score":0.6892410516738892},{"id":"https://openalex.org/keywords/tracking","display_name":"Tracking (education)","score":0.6651612520217896},{"id":"https://openalex.org/keywords/integrator","display_name":"Integrator","score":0.6651223301887512},{"id":"https://openalex.org/keywords/mobile-robot","display_name":"Mobile robot","score":0.6215969920158386},{"id":"https://openalex.org/keywords/control-theory","display_name":"Control theory (sociology)","score":0.5737495422363281},{"id":"https://openalex.org/keywords/robot","display_name":"Robot","score":0.5198686122894287},{"id":"https://openalex.org/keywords/transformation","display_name":"Transformation (genetics)","score":0.46281898021698},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.43394726514816284},{"id":"https://openalex.org/keywords/transformation-matrix","display_name":"Transformation matrix","score":0.41762539744377136},{"id":"https://openalex.org/keywords/matrix","display_name":"Matrix (chemical analysis)","score":0.4174359142780304},{"id":"https://openalex.org/keywords/control","display_name":"Control (management)","score":0.3513445258140564},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.22987321019172668},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.1988016963005066},{"id":"https://openalex.org/keywords/kinematics","display_name":"Kinematics","score":0.13978582620620728},{"id":"https://openalex.org/keywords/classical-mechanics","display_name":"Classical mechanics","score":0.12354651093482971},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.1198890209197998},{"id":"https://openalex.org/keywords/materials-science","display_name":"Materials science","score":0.10467556118965149}],"concepts":[{"id":"https://openalex.org/C178635117","wikidata":"https://www.wikidata.org/wiki/Q747499","display_name":"RADIUS","level":2,"score":0.7205290198326111},{"id":"https://openalex.org/C2779323837","wikidata":"https://www.wikidata.org/wiki/Q5300045","display_name":"Double integrator","level":3,"score":0.6892410516738892},{"id":"https://openalex.org/C2775936607","wikidata":"https://www.wikidata.org/wiki/Q466845","display_name":"Tracking (education)","level":2,"score":0.6651612520217896},{"id":"https://openalex.org/C79518650","wikidata":"https://www.wikidata.org/wiki/Q2081431","display_name":"Integrator","level":3,"score":0.6651223301887512},{"id":"https://openalex.org/C19966478","wikidata":"https://www.wikidata.org/wiki/Q4810574","display_name":"Mobile robot","level":3,"score":0.6215969920158386},{"id":"https://openalex.org/C47446073","wikidata":"https://www.wikidata.org/wiki/Q5165890","display_name":"Control theory (sociology)","level":3,"score":0.5737495422363281},{"id":"https://openalex.org/C90509273","wikidata":"https://www.wikidata.org/wiki/Q11012","display_name":"Robot","level":2,"score":0.5198686122894287},{"id":"https://openalex.org/C204241405","wikidata":"https://www.wikidata.org/wiki/Q461499","display_name":"Transformation (genetics)","level":3,"score":0.46281898021698},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.43394726514816284},{"id":"https://openalex.org/C165443888","wikidata":"https://www.wikidata.org/wiki/Q1482183","display_name":"Transformation matrix","level":3,"score":0.41762539744377136},{"id":"https://openalex.org/C106487976","wikidata":"https://www.wikidata.org/wiki/Q685816","display_name":"Matrix (chemical analysis)","level":2,"score":0.4174359142780304},{"id":"https://openalex.org/C2775924081","wikidata":"https://www.wikidata.org/wiki/Q55608371","display_name":"Control (management)","level":2,"score":0.3513445258140564},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.22987321019172668},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.1988016963005066},{"id":"https://openalex.org/C39920418","wikidata":"https://www.wikidata.org/wiki/Q11476","display_name":"Kinematics","level":2,"score":0.13978582620620728},{"id":"https://openalex.org/C74650414","wikidata":"https://www.wikidata.org/wiki/Q11397","display_name":"Classical mechanics","level":1,"score":0.12354651093482971},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.1198890209197998},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.10467556118965149},{"id":"https://openalex.org/C19417346","wikidata":"https://www.wikidata.org/wiki/Q7922","display_name":"Pedagogy","level":1,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C2776257435","wikidata":"https://www.wikidata.org/wiki/Q1576430","display_name":"Bandwidth (computing)","level":2,"score":0.0},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0},{"id":"https://openalex.org/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","level":1,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/ccta41146.2020.9206318","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ccta41146.2020.9206318","pdf_url":null,"source":{"id":"https://openalex.org/S4306498667","display_name":"2020 IEEE Conference on Control Technology and Applications (CCTA)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE Conference on Control Technology and Applications (CCTA)","raw_type":"proceedings-article"},{"id":"pmh:oai:academicworks.cuny.edu:ny_pubs-1845","is_oa":false,"landing_page_url":"https://academicworks.cuny.edu/ny_pubs/824","pdf_url":null,"source":{"id":"https://openalex.org/S4377196304","display_name":"CUNY Academic Works (City University of New York)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I174216632","host_organization_name":"City University of New York","host_organization_lineage":["https://openalex.org/I174216632"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Publications and Research","raw_type":"article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":50,"referenced_works":["https://openalex.org/W119042164","https://openalex.org/W615006660","https://openalex.org/W622964856","https://openalex.org/W1512235915","https://openalex.org/W1544032329","https://openalex.org/W1881161544","https://openalex.org/W1981209947","https://openalex.org/W2022787452","https://openalex.org/W2023981780","https://openalex.org/W2029279623","https://openalex.org/W2031895010","https://openalex.org/W2033388390","https://openalex.org/W2037853458","https://openalex.org/W2060179679","https://openalex.org/W2067373847","https://openalex.org/W2089038211","https://openalex.org/W2090160766","https://openalex.org/W2090881423","https://openalex.org/W2092101756","https://openalex.org/W2102573371","https://openalex.org/W2121451926","https://openalex.org/W2130379316","https://openalex.org/W2130519480","https://openalex.org/W2132534337","https://openalex.org/W2133754447","https://openalex.org/W2139504267","https://openalex.org/W2140929789","https://openalex.org/W2148424094","https://openalex.org/W2148719714","https://openalex.org/W2149469814","https://openalex.org/W2160631274","https://openalex.org/W2193606309","https://openalex.org/W2207909404","https://openalex.org/W2254979702","https://openalex.org/W2287483882","https://openalex.org/W2491874087","https://openalex.org/W2498687887","https://openalex.org/W2499597001","https://openalex.org/W2527565459","https://openalex.org/W2557827245","https://openalex.org/W2594748701","https://openalex.org/W2604810840","https://openalex.org/W2606357582","https://openalex.org/W2612914963","https://openalex.org/W2918230221","https://openalex.org/W6673276053","https://openalex.org/W6679399592","https://openalex.org/W6681937600","https://openalex.org/W6723939510","https://openalex.org/W7062071732"],"related_works":["https://openalex.org/W2080488015","https://openalex.org/W2897121470","https://openalex.org/W2347533678","https://openalex.org/W4248598780","https://openalex.org/W3213086587","https://openalex.org/W2469303921","https://openalex.org/W2116395142","https://openalex.org/W2369204337","https://openalex.org/W2507282821","https://openalex.org/W2883723259"],"abstract_inverted_index":{"This":[0],"paper":[1],"extends":[2],"our":[3],"earlier":[4],"results":[5],"on":[6],"cooperative":[7],"target":[8],"tracking":[9],"in":[10,46],"cyclic":[11],"pursuit":[12],"using":[13],"a":[14,36,44,62],"group":[15],"of":[16,35,75],"mobile":[17],"robots":[18],"by":[19,42,81],"further":[20],"prescribing":[21],"the":[22,32,47,76],"formation":[23,29,33,39,57],"radius":[24,34],"and":[25,67],"achieving":[26],"an":[27],"elliptical":[28,56],"pattern.":[30],"Prescribing":[31],"balanced":[37],"circular":[38],"is":[40,59,79],"achieved":[41],"adjusting":[43],"parameter":[45],"existing":[48],"control":[49],"input":[50],"to":[51],"each":[52],"robot.":[53],"The":[54,73],"new":[55],"pattern":[58],"obtained":[60],"via":[61],"transformation":[63],"matrix.":[64],"Both":[65],"single-integrator":[66],"double-integrator":[68],"robot":[69],"models":[70],"are":[71],"considered.":[72],"effectiveness":[74],"proposed":[77],"schemes":[78],"demonstrated":[80],"simulation":[82],"examples.":[83]},"counts_by_year":[{"year":2023,"cited_by_count":2}],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-10T00:00:00"}