{"id":"https://openalex.org/W2109583010","doi":"https://doi.org/10.1109/tac.2014.2314223","title":"Algorithms for Leader Selection in Stochastically Forced Consensus Networks","display_name":"Algorithms for Leader Selection in Stochastically Forced Consensus Networks","publication_year":2014,"publication_date":"2014-03-28","ids":{"openalex":"https://openalex.org/W2109583010","doi":"https://doi.org/10.1109/tac.2014.2314223","mag":"2109583010"},"language":"en","primary_location":{"id":"doi:10.1109/tac.2014.2314223","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tac.2014.2314223","pdf_url":null,"source":{"id":"https://openalex.org/S184954342","display_name":"IEEE Transactions on Automatic Control","issn_l":"0018-9286","issn":["0018-9286","1558-2523","2334-3303"],"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 Automatic Control","raw_type":"journal-article"},"type":"article","indexed_in":["arxiv","crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/1302.0450","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Fu Lin","orcid":null},"institutions":[{"id":"https://openalex.org/I1282105669","display_name":"Argonne National Laboratory","ror":"https://ror.org/05gvnxz63","country_code":"US","type":"facility","lineage":["https://openalex.org/I1282105669","https://openalex.org/I1330989302","https://openalex.org/I39565521","https://openalex.org/I40347166"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Fu Lin","raw_affiliation_strings":["Mathematics and Computer Science Division, Argonne National Laboratory, Argonne, IL, USA"],"affiliations":[{"raw_affiliation_string":"Mathematics and Computer Science Division, Argonne National Laboratory, Argonne, IL, USA","institution_ids":["https://openalex.org/I1282105669"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Makan Fardad","orcid":null},"institutions":[{"id":"https://openalex.org/I70983195","display_name":"Syracuse University","ror":"https://ror.org/025r5qe02","country_code":"US","type":"education","lineage":["https://openalex.org/I70983195"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Makan Fardad","raw_affiliation_strings":["Department of Electrical Engineering and Computer Science, Syracuse University, NY, USA"],"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering and Computer Science, Syracuse University, NY, USA","institution_ids":["https://openalex.org/I70983195"]}]},{"author_position":"last","author":{"id":null,"display_name":"Mihailo R. Jovanovic","orcid":null},"institutions":[{"id":"https://openalex.org/I130238516","display_name":"University of Minnesota","ror":"https://ror.org/017zqws13","country_code":"US","type":"education","lineage":["https://openalex.org/I130238516"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Mihailo R. Jovanovic","raw_affiliation_strings":["Department of Electrical and Computer Engineering, University of Minnesota, Minneapolis, MN, USA"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, University of Minnesota, Minneapolis, MN, USA","institution_ids":["https://openalex.org/I130238516"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I1282105669"],"apc_list":null,"apc_paid":null,"fwci":21.9429,"has_fulltext":false,"cited_by_count":124,"citation_normalized_percentile":{"value":0.99583524,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":100},"biblio":{"volume":"59","issue":"7","first_page":"1789","last_page":"1802"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10249","display_name":"Distributed Control Multi-Agent Systems","score":0.9333000183105469,"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":0.9333000183105469,"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/T10621","display_name":"Gene Regulatory Network Analysis","score":0.009399999864399433,"subfield":{"id":"https://openalex.org/subfields/1312","display_name":"Molecular Biology"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T11031","display_name":"Game Theory and Applications","score":0.006899999920278788,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/upper-and-lower-bounds","display_name":"Upper and lower bounds","score":0.5281999707221985},{"id":"https://openalex.org/keywords/rank","display_name":"Rank (graph theory)","score":0.49709999561309814},{"id":"https://openalex.org/keywords/constraint","display_name":"Constraint (computer-aided design)","score":0.47859999537467957},{"id":"https://openalex.org/keywords/relaxation","display_name":"Relaxation (psychology)","score":0.46860000491142273},{"id":"https://openalex.org/keywords/node","display_name":"Node (physics)","score":0.4587000012397766},{"id":"https://openalex.org/keywords/convex-hull","display_name":"Convex hull","score":0.45190000534057617},{"id":"https://openalex.org/keywords/semidefinite-programming","display_name":"Semidefinite programming","score":0.42340001463890076},{"id":"https://openalex.org/keywords/regular-polygon","display_name":"Regular polygon","score":0.420199990272522},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.4106000065803528}],"concepts":[{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.573199987411499},{"id":"https://openalex.org/C77553402","wikidata":"https://www.wikidata.org/wiki/Q13222579","display_name":"Upper and lower bounds","level":2,"score":0.5281999707221985},{"id":"https://openalex.org/C164226766","wikidata":"https://www.wikidata.org/wiki/Q7293202","display_name":"Rank (graph theory)","level":2,"score":0.49709999561309814},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4916999936103821},{"id":"https://openalex.org/C2776036281","wikidata":"https://www.wikidata.org/wiki/Q48769818","display_name":"Constraint (computer-aided design)","level":2,"score":0.47859999537467957},{"id":"https://openalex.org/C2776029896","wikidata":"https://www.wikidata.org/wiki/Q3935810","display_name":"Relaxation (psychology)","level":2,"score":0.46860000491142273},{"id":"https://openalex.org/C62611344","wikidata":"https://www.wikidata.org/wiki/Q1062658","display_name":"Node (physics)","level":2,"score":0.4587000012397766},{"id":"https://openalex.org/C206194317","wikidata":"https://www.wikidata.org/wiki/Q1138624","display_name":"Convex hull","level":3,"score":0.45190000534057617},{"id":"https://openalex.org/C101901036","wikidata":"https://www.wikidata.org/wiki/Q2269096","display_name":"Semidefinite programming","level":2,"score":0.42340001463890076},{"id":"https://openalex.org/C112680207","wikidata":"https://www.wikidata.org/wiki/Q714886","display_name":"Regular polygon","level":2,"score":0.420199990272522},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.4106000065803528},{"id":"https://openalex.org/C2780586882","wikidata":"https://www.wikidata.org/wiki/Q7520643","display_name":"Simple (philosophy)","level":2,"score":0.40939998626708984},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4027000069618225},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.4025000035762787},{"id":"https://openalex.org/C51823790","wikidata":"https://www.wikidata.org/wiki/Q504353","display_name":"Greedy algorithm","level":2,"score":0.3995000123977661},{"id":"https://openalex.org/C129844170","wikidata":"https://www.wikidata.org/wiki/Q41299","display_name":"Quadratic equation","level":2,"score":0.3986999988555908},{"id":"https://openalex.org/C2780980858","wikidata":"https://www.wikidata.org/wiki/Q110022","display_name":"Dual (grammatical number)","level":2,"score":0.35030001401901245},{"id":"https://openalex.org/C157972887","wikidata":"https://www.wikidata.org/wiki/Q463359","display_name":"Convex optimization","level":3,"score":0.336899995803833},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.3133000135421753},{"id":"https://openalex.org/C145446738","wikidata":"https://www.wikidata.org/wiki/Q319913","display_name":"Convex function","level":3,"score":0.311599999666214},{"id":"https://openalex.org/C148764684","wikidata":"https://www.wikidata.org/wiki/Q621751","display_name":"Approximation algorithm","level":2,"score":0.301800012588501},{"id":"https://openalex.org/C156884757","wikidata":"https://www.wikidata.org/wiki/Q798554","display_name":"Backtracking","level":2,"score":0.2989000082015991},{"id":"https://openalex.org/C44616089","wikidata":"https://www.wikidata.org/wiki/Q30158686","display_name":"Constraint satisfaction","level":3,"score":0.2896000146865845},{"id":"https://openalex.org/C93693863","wikidata":"https://www.wikidata.org/wiki/Q897659","display_name":"Branch and bound","level":2,"score":0.2870999872684479},{"id":"https://openalex.org/C137836250","wikidata":"https://www.wikidata.org/wiki/Q984063","display_name":"Optimization problem","level":2,"score":0.28450000286102295},{"id":"https://openalex.org/C2775924081","wikidata":"https://www.wikidata.org/wiki/Q55608371","display_name":"Control (management)","level":2,"score":0.27489998936653137},{"id":"https://openalex.org/C187455244","wikidata":"https://www.wikidata.org/wiki/Q942353","display_name":"Boolean function","level":2,"score":0.2711000144481659},{"id":"https://openalex.org/C81845259","wikidata":"https://www.wikidata.org/wiki/Q290117","display_name":"Quadratic programming","level":2,"score":0.2660999894142151},{"id":"https://openalex.org/C115051666","wikidata":"https://www.wikidata.org/wiki/Q6522493","display_name":"Ranging","level":2,"score":0.2628999948501587},{"id":"https://openalex.org/C149441793","wikidata":"https://www.wikidata.org/wiki/Q200726","display_name":"Probability distribution","level":2,"score":0.25440001487731934},{"id":"https://openalex.org/C182306322","wikidata":"https://www.wikidata.org/wiki/Q1779371","display_name":"Order (exchange)","level":2,"score":0.251800000667572}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tac.2014.2314223","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tac.2014.2314223","pdf_url":null,"source":{"id":"https://openalex.org/S184954342","display_name":"IEEE Transactions on Automatic Control","issn_l":"0018-9286","issn":["0018-9286","1558-2523","2334-3303"],"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 Automatic Control","raw_type":"journal-article"},{"id":"pmh:oai:arXiv.org:1302.0450","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1302.0450","pdf_url":"https://arxiv.org/pdf/1302.0450","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:1302.0450","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1302.0450","pdf_url":"https://arxiv.org/pdf/1302.0450","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G275943680","display_name":null,"funder_award_id":"CMMI-09-27720","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G2812808548","display_name":null,"funder_award_id":"CMMI-0927509","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G7582620943","display_name":null,"funder_award_id":"CMMI-06-44793","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":47,"referenced_works":["https://openalex.org/W613360614","https://openalex.org/W1963649370","https://openalex.org/W1964234880","https://openalex.org/W1968160731","https://openalex.org/W1971386559","https://openalex.org/W1987717935","https://openalex.org/W1996215314","https://openalex.org/W1997155281","https://openalex.org/W2007842057","https://openalex.org/W2015953751","https://openalex.org/W2024995587","https://openalex.org/W2040114800","https://openalex.org/W2050096026","https://openalex.org/W2050962703","https://openalex.org/W2052317337","https://openalex.org/W2067153340","https://openalex.org/W2077076780","https://openalex.org/W2086645750","https://openalex.org/W2090360864","https://openalex.org/W2093356327","https://openalex.org/W2098523806","https://openalex.org/W2099689250","https://openalex.org/W2105434744","https://openalex.org/W2109468658","https://openalex.org/W2116673134","https://openalex.org/W2123610102","https://openalex.org/W2126826802","https://openalex.org/W2126828700","https://openalex.org/W2129248505","https://openalex.org/W2129488612","https://openalex.org/W2131181636","https://openalex.org/W2138624490","https://openalex.org/W2145291156","https://openalex.org/W2151685478","https://openalex.org/W2154588446","https://openalex.org/W2161455936","https://openalex.org/W2165744313","https://openalex.org/W2166417226","https://openalex.org/W2169207653","https://openalex.org/W2332701672","https://openalex.org/W2963300745","https://openalex.org/W4231542018","https://openalex.org/W4250134109","https://openalex.org/W4250589301","https://openalex.org/W4292363360","https://openalex.org/W6675881135","https://openalex.org/W6758920291"],"related_works":[],"abstract_inverted_index":{"We":[0,86],"are":[1,62,163],"interested":[2],"in":[3,12,21,28,38,121],"assigning":[4],"a":[5,57,60,78,89,125,140,147],"pre-specified":[6],"number":[7],"of":[8,33,66,119,124,129,135,169],"nodes":[9],"as":[10],"leaders":[11,44,97,107],"order":[13],"to":[14,46,72,95,99,160,165],"minimize":[15],"the":[16,51,63,82,122,130,136,167,170],"mean-square":[17],"deviation":[18],"from":[19,157],"consensus":[20],"stochastically":[22],"forced":[23],"networks.":[24,40,153],"This":[25],"problem":[26],"arises":[27],"several":[29],"applications":[30],"including":[31],"control":[32],"vehicular":[34],"formations":[35],"and":[36,98,133],"localization":[37],"sensor":[39],"For":[41,104],"networks":[42,105],"with":[43,106],"subject":[45],"noise,":[47],"we":[48,76,114,145],"show":[49],"that":[50,108],"Boolean":[52,137],"constraints":[53,71,138],"(which":[54],"indicate":[55],"whether":[56],"node":[58],"is":[59],"leader)":[61],"only":[64],"source":[65,118],"nonconvexity.":[67],"By":[68],"relaxing":[69],"these":[70],"their":[73,111],"convex":[74],"hull":[75],"obtain":[77],"lower":[79],"bound":[80],"on":[81],"global":[83],"optimal":[84],"value.":[85],"also":[87],"use":[88],"simple":[90],"but":[91],"efficient":[92],"greedy":[93],"algorithm":[94,149],"identify":[96,115],"compute":[100],"an":[101,116],"upper":[102],"bound.":[103],"perfectly":[109],"follow":[110],"desired":[112],"trajectories,":[113],"additional":[117],"nonconvexity":[120],"form":[123],"rank":[126,131],"constraint.":[127],"Removal":[128],"constraint":[132],"relaxation":[134],"yields":[139],"semidefinite":[141],"program":[142],"for":[143,151],"which":[144],"develop":[146],"customized":[148],"well-suited":[150],"large":[152],"Several":[154],"examples":[155],"ranging":[156],"regular":[158],"lattices":[159],"random":[161],"graphs":[162],"provided":[164],"illustrate":[166],"effectiveness":[168],"developed":[171],"algorithms.":[172]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":10},{"year":2024,"cited_by_count":5},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":7},{"year":2021,"cited_by_count":4},{"year":2020,"cited_by_count":8},{"year":2019,"cited_by_count":8},{"year":2018,"cited_by_count":15},{"year":2017,"cited_by_count":24},{"year":2016,"cited_by_count":16},{"year":2015,"cited_by_count":19},{"year":2014,"cited_by_count":2},{"year":2013,"cited_by_count":1}],"updated_date":"2026-04-09T08:11:56.329763","created_date":"2016-06-24T00:00:00"}