{"id":"https://openalex.org/W4315488906","doi":"https://doi.org/10.1109/cdc51059.2022.9992525","title":"Control of Misbehaving Multiagent Networks through Driver Nodes: The Directed Graph Case","display_name":"Control of Misbehaving Multiagent Networks through Driver Nodes: The Directed Graph Case","publication_year":2022,"publication_date":"2022-12-06","ids":{"openalex":"https://openalex.org/W4315488906","doi":"https://doi.org/10.1109/cdc51059.2022.9992525"},"language":"en","primary_location":{"id":"doi:10.1109/cdc51059.2022.9992525","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cdc51059.2022.9992525","pdf_url":null,"source":{"id":"https://openalex.org/S4363607710","display_name":"2022 IEEE 61st Conference on Decision and Control (CDC)","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":"2022 IEEE 61st Conference on Decision and Control (CDC)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5055826062","display_name":"Emre Yildirim","orcid":"https://orcid.org/0000-0002-3645-5168"},"institutions":[{"id":"https://openalex.org/I2613432","display_name":"University of South Florida","ror":"https://ror.org/032db5x82","country_code":"US","type":"education","lineage":["https://openalex.org/I2613432"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Emre Yildirim","raw_affiliation_strings":["University of South Florida,Department of Mechanical Engineering,Tampa,FL,USA,33620"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of South Florida,Department of Mechanical Engineering,Tampa,FL,USA,33620","institution_ids":["https://openalex.org/I2613432"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5004807234","display_name":"Tansel Yucelen","orcid":"https://orcid.org/0000-0003-1156-1877"},"institutions":[{"id":"https://openalex.org/I2613432","display_name":"University of South Florida","ror":"https://ror.org/032db5x82","country_code":"US","type":"education","lineage":["https://openalex.org/I2613432"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Tansel Yucelen","raw_affiliation_strings":["University of South Florida,Department of Mechanical Engineering,Tampa,FL,USA,33620"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of South Florida,Department of Mechanical Engineering,Tampa,FL,USA,33620","institution_ids":["https://openalex.org/I2613432"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I2613432"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"3908","last_page":"3913"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10249","display_name":"Distributed Control Multi-Agent Systems","score":0.9994000196456909,"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":0.9994000196456909,"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/T11347","display_name":"Neural Networks Stability and Synchronization","score":0.9983999729156494,"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":0.9944000244140625,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/laplacian-matrix","display_name":"Laplacian matrix","score":0.7526089549064636},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7182992696762085},{"id":"https://openalex.org/keywords/node","display_name":"Node (physics)","score":0.569558322429657},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.560985803604126},{"id":"https://openalex.org/keywords/state","display_name":"State (computer science)","score":0.45986413955688477},{"id":"https://openalex.org/keywords/graph-theory","display_name":"Graph theory","score":0.4560645818710327},{"id":"https://openalex.org/keywords/directed-graph","display_name":"Directed graph","score":0.4241552948951721},{"id":"https://openalex.org/keywords/stability","display_name":"Stability (learning theory)","score":0.4157017469406128},{"id":"https://openalex.org/keywords/network-topology","display_name":"Network topology","score":0.41343390941619873},{"id":"https://openalex.org/keywords/topology","display_name":"Topology (electrical circuits)","score":0.38223060965538025},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.3090371787548065},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.2750003933906555},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1474454700946808},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.11644777655601501},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.09268525242805481}],"concepts":[{"id":"https://openalex.org/C115178988","wikidata":"https://www.wikidata.org/wiki/Q772067","display_name":"Laplacian matrix","level":3,"score":0.7526089549064636},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7182992696762085},{"id":"https://openalex.org/C62611344","wikidata":"https://www.wikidata.org/wiki/Q1062658","display_name":"Node (physics)","level":2,"score":0.569558322429657},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.560985803604126},{"id":"https://openalex.org/C48103436","wikidata":"https://www.wikidata.org/wiki/Q599031","display_name":"State (computer science)","level":2,"score":0.45986413955688477},{"id":"https://openalex.org/C88230418","wikidata":"https://www.wikidata.org/wiki/Q131476","display_name":"Graph theory","level":2,"score":0.4560645818710327},{"id":"https://openalex.org/C146380142","wikidata":"https://www.wikidata.org/wiki/Q1137726","display_name":"Directed graph","level":2,"score":0.4241552948951721},{"id":"https://openalex.org/C112972136","wikidata":"https://www.wikidata.org/wiki/Q7595718","display_name":"Stability (learning theory)","level":2,"score":0.4157017469406128},{"id":"https://openalex.org/C199845137","wikidata":"https://www.wikidata.org/wiki/Q145490","display_name":"Network topology","level":2,"score":0.41343390941619873},{"id":"https://openalex.org/C184720557","wikidata":"https://www.wikidata.org/wiki/Q7825049","display_name":"Topology (electrical circuits)","level":2,"score":0.38223060965538025},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.3090371787548065},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.2750003933906555},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1474454700946808},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.11644777655601501},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.09268525242805481},{"id":"https://openalex.org/C66938386","wikidata":"https://www.wikidata.org/wiki/Q633538","display_name":"Structural engineering","level":1,"score":0.0},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.0},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/cdc51059.2022.9992525","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cdc51059.2022.9992525","pdf_url":null,"source":{"id":"https://openalex.org/S4363607710","display_name":"2022 IEEE 61st Conference on Decision and Control (CDC)","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":"2022 IEEE 61st Conference on Decision and Control (CDC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":23,"referenced_works":["https://openalex.org/W613360614","https://openalex.org/W1630241696","https://openalex.org/W1966751197","https://openalex.org/W1980491877","https://openalex.org/W2013200328","https://openalex.org/W2162410018","https://openalex.org/W2478654971","https://openalex.org/W2512539698","https://openalex.org/W2522610349","https://openalex.org/W2576168630","https://openalex.org/W2586368570","https://openalex.org/W2592753643","https://openalex.org/W2610571404","https://openalex.org/W2623956239","https://openalex.org/W2789412930","https://openalex.org/W2893171771","https://openalex.org/W2904248772","https://openalex.org/W2972090218","https://openalex.org/W2980480493","https://openalex.org/W3032945526","https://openalex.org/W3039950975","https://openalex.org/W3043856421","https://openalex.org/W3172456168"],"related_works":["https://openalex.org/W2122332063","https://openalex.org/W4200372685","https://openalex.org/W1557246723","https://openalex.org/W2949380420","https://openalex.org/W2754379988","https://openalex.org/W4308477935","https://openalex.org/W2179631011","https://openalex.org/W4289538835","https://openalex.org/W2246482514","https://openalex.org/W3084398075"],"abstract_inverted_index":{"In":[0,23,68,124],"this":[1,160],"paper,":[2,161],"we":[3,47,108],"study":[4],"multiagent":[5,87,152],"networks":[6],"subject":[7,13],"to":[8,14,25,33,39,49,54,66,75,113,131,134,168,173,194],"misbehaving":[9,45,178],"nodes":[10,12,58,140,172,179],"(i.e.,":[11,59,97],"exogenous":[15],"disturbances)":[16],"over":[17],"fixed,":[18],"connected,":[19],"and":[20],"directed":[21],"graphs.":[22],"contrast":[24],"previous":[26],"studies,":[27],"which":[28,82],"apply":[29,50],"feedback":[30,51,71],"control":[31,52],"signals":[32,53],"every":[34],"node":[35,120],"in":[36,62,91,121,159],"the":[37,41,63,79,85,92,100,115,122,143,146,150,156,165,170,175,181,184,196,199],"network":[38,64,88],"suppress":[40],"adverse":[42],"effect":[43,176],"of":[44,57,94,118,138,145,149,177,183,198],"nodes,":[46,81],"propose":[48],"a":[55,110,126],"subset":[56],"driver":[60,80,171],"nodes)":[61],"due":[65],"constraints.":[67],"particular,":[69],"proportional-integral":[70],"controllers":[72],"are":[73,191],"proposed":[74,200],"be":[76],"executed":[77],"by":[78],"guarantee":[83],"that":[84,107],"overall":[86,151],"is":[89,129],"stable":[90],"sense":[93],"input-to-state":[95],"stability":[96],"they":[98],"make":[99],"resulting":[101],"closed-loop":[102],"system":[103],"matrix":[104,148],"Hurwitz).":[105],"Following":[106],"present":[109],"system-theoretical":[111],"approach":[112,128],"find":[114,135],"steady-state":[116,136],"value":[117],"each":[119],"network.":[123,153],"addition,":[125],"graph-theoretical":[127],"utilized":[130],"allow":[132],"users":[133],"values":[137],"critical":[139,185],"without":[141],"requiring":[142],"knowledge":[144],"Laplacian":[147],"Based":[154],"on":[155,180],"results":[157],"presented":[158,193],"one":[162],"can":[163],"gain":[164],"understanding":[166],"how":[167],"select":[169],"negate":[174],"neighborhood":[182],"nodes.":[186],"Finally,":[187],"illustrative":[188],"numerical":[189],"examples":[190],"also":[192],"demonstrate":[195],"efficacy":[197],"approaches.":[201]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2026-07-15T18:14:33.161393","created_date":"2025-10-10T00:00:00"}
