{"id":"https://openalex.org/W4210617022","doi":"https://doi.org/10.1109/cdc45484.2021.9683774","title":"Distributed Learning-based Stability Assessment for Large Scale Networks of Dissipative Systems","display_name":"Distributed Learning-based Stability Assessment for Large Scale Networks of Dissipative Systems","publication_year":2021,"publication_date":"2021-12-14","ids":{"openalex":"https://openalex.org/W4210617022","doi":"https://doi.org/10.1109/cdc45484.2021.9683774"},"language":"en","primary_location":{"id":"doi:10.1109/cdc45484.2021.9683774","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cdc45484.2021.9683774","pdf_url":null,"source":{"id":"https://openalex.org/S4363607724","display_name":"2021 60th IEEE 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":"2021 60th IEEE Conference on Decision and Control (CDC)","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/A5017447101","display_name":"Amit Jena","orcid":"https://orcid.org/0000-0003-0786-6010"},"institutions":[{"id":"https://openalex.org/I91045830","display_name":"Texas A&M University","ror":"https://ror.org/01f5ytq51","country_code":"US","type":"education","lineage":["https://openalex.org/I91045830"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Amit Jena","raw_affiliation_strings":["Texas A&M University, College Station, TX, USA"],"affiliations":[{"raw_affiliation_string":"Texas A&M University, College Station, TX, USA","institution_ids":["https://openalex.org/I91045830"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5051963490","display_name":"Tong Huang","orcid":"https://orcid.org/0000-0002-2630-4825"},"institutions":[{"id":"https://openalex.org/I91045830","display_name":"Texas A&M University","ror":"https://ror.org/01f5ytq51","country_code":"US","type":"education","lineage":["https://openalex.org/I91045830"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Tong Huang","raw_affiliation_strings":["Texas A&M University, College Station, TX, USA"],"affiliations":[{"raw_affiliation_string":"Texas A&M University, College Station, TX, USA","institution_ids":["https://openalex.org/I91045830"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5040417385","display_name":"S. Sivaranjani","orcid":null},"institutions":[{"id":"https://openalex.org/I91045830","display_name":"Texas A&M University","ror":"https://ror.org/01f5ytq51","country_code":"US","type":"education","lineage":["https://openalex.org/I91045830"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"S. Sivaranjani","raw_affiliation_strings":["Texas A&M University, College Station, TX, USA"],"affiliations":[{"raw_affiliation_string":"Texas A&M University, College Station, TX, USA","institution_ids":["https://openalex.org/I91045830"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5053096993","display_name":"Dileep Kalathil","orcid":"https://orcid.org/0000-0001-7968-5185"},"institutions":[{"id":"https://openalex.org/I91045830","display_name":"Texas A&M University","ror":"https://ror.org/01f5ytq51","country_code":"US","type":"education","lineage":["https://openalex.org/I91045830"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Dileep Kalathil","raw_affiliation_strings":["Texas A&M University, College Station, TX, USA"],"affiliations":[{"raw_affiliation_string":"Texas A&M University, College Station, TX, USA","institution_ids":["https://openalex.org/I91045830"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5048219277","display_name":"Le Xie","orcid":"https://orcid.org/0000-0002-9810-948X"},"institutions":[{"id":"https://openalex.org/I91045830","display_name":"Texas A&M University","ror":"https://ror.org/01f5ytq51","country_code":"US","type":"education","lineage":["https://openalex.org/I91045830"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Le Xie","raw_affiliation_strings":["Texas A&M University, College Station, TX, USA"],"affiliations":[{"raw_affiliation_string":"Texas A&M University, College Station, TX, USA","institution_ids":["https://openalex.org/I91045830"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5017447101"],"corresponding_institution_ids":["https://openalex.org/I91045830"],"apc_list":null,"apc_paid":null,"fwci":0.8725,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.69866418,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"1509","last_page":"1514"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10223","display_name":"Microgrid Control and Optimization","score":0.9983000159263611,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10223","display_name":"Microgrid Control and Optimization","score":0.9983000159263611,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems 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/T12772","display_name":"Control and Stability of Dynamical Systems","score":0.996399998664856,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems 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/T11187","display_name":"Nonlinear Dynamics and Pattern Formation","score":0.9961000084877014,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/dissipative-system","display_name":"Dissipative system","score":0.8023266792297363},{"id":"https://openalex.org/keywords/lyapunov-function","display_name":"Lyapunov function","score":0.5721046924591064},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5563870668411255},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4733082056045532},{"id":"https://openalex.org/keywords/stability","display_name":"Stability (learning theory)","score":0.46514785289764404},{"id":"https://openalex.org/keywords/function","display_name":"Function (biology)","score":0.4577369689941406},{"id":"https://openalex.org/keywords/function-approximation","display_name":"Function approximation","score":0.4514925479888916},{"id":"https://openalex.org/keywords/modulo","display_name":"Modulo","score":0.4350247085094452},{"id":"https://openalex.org/keywords/solver","display_name":"Solver","score":0.4236510694026947},{"id":"https://openalex.org/keywords/control-theory","display_name":"Control theory (sociology)","score":0.40827399492263794},{"id":"https://openalex.org/keywords/nonlinear-system","display_name":"Nonlinear system","score":0.3931204080581665},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2864919900894165},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.15787187218666077},{"id":"https://openalex.org/keywords/control","display_name":"Control (management)","score":0.09371715784072876},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.07466521859169006}],"concepts":[{"id":"https://openalex.org/C99692599","wikidata":"https://www.wikidata.org/wiki/Q596577","display_name":"Dissipative system","level":2,"score":0.8023266792297363},{"id":"https://openalex.org/C60640748","wikidata":"https://www.wikidata.org/wiki/Q2337858","display_name":"Lyapunov function","level":3,"score":0.5721046924591064},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5563870668411255},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4733082056045532},{"id":"https://openalex.org/C112972136","wikidata":"https://www.wikidata.org/wiki/Q7595718","display_name":"Stability (learning theory)","level":2,"score":0.46514785289764404},{"id":"https://openalex.org/C14036430","wikidata":"https://www.wikidata.org/wiki/Q3736076","display_name":"Function (biology)","level":2,"score":0.4577369689941406},{"id":"https://openalex.org/C91873725","wikidata":"https://www.wikidata.org/wiki/Q3445816","display_name":"Function approximation","level":3,"score":0.4514925479888916},{"id":"https://openalex.org/C54732982","wikidata":"https://www.wikidata.org/wiki/Q1415345","display_name":"Modulo","level":2,"score":0.4350247085094452},{"id":"https://openalex.org/C2778770139","wikidata":"https://www.wikidata.org/wiki/Q1966904","display_name":"Solver","level":2,"score":0.4236510694026947},{"id":"https://openalex.org/C47446073","wikidata":"https://www.wikidata.org/wiki/Q5165890","display_name":"Control theory (sociology)","level":3,"score":0.40827399492263794},{"id":"https://openalex.org/C158622935","wikidata":"https://www.wikidata.org/wiki/Q660848","display_name":"Nonlinear system","level":2,"score":0.3931204080581665},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2864919900894165},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.15787187218666077},{"id":"https://openalex.org/C2775924081","wikidata":"https://www.wikidata.org/wiki/Q55608371","display_name":"Control (management)","level":2,"score":0.09371715784072876},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.07466521859169006},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C78458016","wikidata":"https://www.wikidata.org/wiki/Q840400","display_name":"Evolutionary biology","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/cdc45484.2021.9683774","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cdc45484.2021.9683774","pdf_url":null,"source":{"id":"https://openalex.org/S4363607724","display_name":"2021 60th IEEE 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":"2021 60th IEEE Conference on Decision and Control (CDC)","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":29,"referenced_works":["https://openalex.org/W431400460","https://openalex.org/W1496681274","https://openalex.org/W1530960252","https://openalex.org/W2001965107","https://openalex.org/W2024068876","https://openalex.org/W2044351700","https://openalex.org/W2095477585","https://openalex.org/W2098331956","https://openalex.org/W2116586985","https://openalex.org/W2133404041","https://openalex.org/W2158976814","https://openalex.org/W2166280160","https://openalex.org/W2167019375","https://openalex.org/W2325551207","https://openalex.org/W2590808074","https://openalex.org/W2624761220","https://openalex.org/W2895840090","https://openalex.org/W2921226743","https://openalex.org/W2970795963","https://openalex.org/W2999054007","https://openalex.org/W3081595874","https://openalex.org/W3109544485","https://openalex.org/W3118009092","https://openalex.org/W3126685252","https://openalex.org/W6679392325","https://openalex.org/W6760679162","https://openalex.org/W6767277667","https://openalex.org/W6772931863","https://openalex.org/W6786381681"],"related_works":["https://openalex.org/W2371200319","https://openalex.org/W2367609594","https://openalex.org/W2070252991","https://openalex.org/W2350320737","https://openalex.org/W2807449856","https://openalex.org/W2391455523","https://openalex.org/W2739518152","https://openalex.org/W238211858","https://openalex.org/W2015853617","https://openalex.org/W2091416718"],"abstract_inverted_index":{"We":[0,43,69,166],"propose":[1],"a":[2,11,28,31,47,54,65,72,131,135,152,162,175],"new":[3],"distributed":[4,29,132],"learning-based":[5],"framework":[6],"for":[7,39,57,139],"stability":[8,111,137],"assessment":[9],"of":[10,13,37,85,92,118,127,142,164],"class":[12],"networked":[14,41],"nonlinear":[15],"systems,":[16],"where":[17],"each":[18,58,86,128],"subsystem":[19,59,63,87,129],"is":[20,24,145],"dissipative.":[21],"The":[22],"aim":[23],"to":[25,52,122,151,160],"learn,":[26],"in":[27,130],"manner,":[30],"Lyapunov":[32,154],"function":[33,50,56,126,155],"and":[34,171],"associated":[35],"region":[36,163],"attraction":[38],"the":[40,62,82,96,103,124,140,168],"system.":[42],"begin":[44],"by":[45,88,102,112],"using":[46,113],"neural":[48,104],"network":[49,105,141],"approximation":[51],"learn":[53],"storage":[55,125],"such":[60],"that":[61,80,94,156],"satisfies":[64],"local":[66,83,97],"dissipativity":[67,84,98],"property.":[68],"next":[70],"use":[71,159],"satisfiability":[73],"modulo":[74],"theories":[75],"(SMT)":[76],"solver":[77],"based":[78],"falsifier":[79],"verifies":[81],"determining":[89],"an":[90,114],"absence":[91],"counterexamples":[93],"violate":[95],"property,":[99],"as":[100],"established":[101],"approximation.":[106],"Finally,":[107],"we":[108,157],"verify":[109],"network-level":[110,153],"alternating":[115],"direction":[116],"method":[117],"multipliers":[119],"(ADMM)":[120],"approach":[121],"update":[123],"manner":[133],"until":[134],"global":[136],"condition":[138],"dissipative":[143],"subsystems":[144],"satisfied.":[146],"This":[147],"step":[148],"also":[149],"leads":[150],"then":[158],"estimate":[161],"attraction.":[165],"illustrate":[167],"proposed":[169],"algorithm":[170],"its":[172],"advantages":[173],"on":[174],"microgrid":[176],"interconnection":[177],"with":[178],"power":[179],"electronics":[180],"interfaces.":[181]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":2}],"updated_date":"2026-02-28T09:26:25.869077","created_date":"2025-10-10T00:00:00"}