{"id":"https://openalex.org/W1596753317","doi":"https://doi.org/10.1109/cdc.2002.1184780","title":"Two alternative stability criteria for discrete-time RMLP","display_name":"Two alternative stability criteria for discrete-time RMLP","publication_year":2003,"publication_date":"2003-08-27","ids":{"openalex":"https://openalex.org/W1596753317","doi":"https://doi.org/10.1109/cdc.2002.1184780","mag":"1596753317"},"language":"en","primary_location":{"id":"doi:10.1109/cdc.2002.1184780","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cdc.2002.1184780","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 41st IEEE Conference on Decision and Control, 2002.","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/A5038576809","display_name":"Nikita Barabanov","orcid":"https://orcid.org/0000-0003-2131-1572"},"institutions":[{"id":"https://openalex.org/I41518628","display_name":"Saint Petersburg State Electrotechnical University","ror":"https://ror.org/023bq8521","country_code":"RU","type":"education","lineage":["https://openalex.org/I41518628"]}],"countries":["RU"],"is_corresponding":false,"raw_author_name":"N.E. Barabanov","raw_affiliation_strings":["Department of Software Engineering, Saint Petersburg Electrotechnical University, Russia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Software Engineering, Saint Petersburg Electrotechnical University, Russia","institution_ids":["https://openalex.org/I41518628"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5061971606","display_name":"Danil Prokhorov","orcid":"https://orcid.org/0000-0002-6208-4233"},"institutions":[{"id":"https://openalex.org/I1292974536","display_name":"Ford Motor Company (United States)","ror":"https://ror.org/00g2tkw06","country_code":"US","type":"company","lineage":["https://openalex.org/I1292974536"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"D.V. Prokhorov","raw_affiliation_strings":["The Group of Artificial Neural Systems and Fuzzy Logic, Ford Research Laboratory, Dearborn, MI, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The Group of Artificial Neural Systems and Fuzzy Logic, Ford Research Laboratory, Dearborn, MI, USA","institution_ids":["https://openalex.org/I1292974536"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.4688,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.72549907,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"2","issue":null,"first_page":"1776","last_page":"1779"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10320","display_name":"Neural Networks and Applications","score":0.9983999729156494,"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"}},"topics":[{"id":"https://openalex.org/T10320","display_name":"Neural Networks and Applications","score":0.9983999729156494,"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"}},{"id":"https://openalex.org/T11347","display_name":"Neural Networks Stability and Synchronization","score":0.9919999837875366,"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/T10244","display_name":"Chaos control and synchronization","score":0.9771000146865845,"subfield":{"id":"https://openalex.org/subfields/3109","display_name":"Statistical and Nonlinear Physics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/stability","display_name":"Stability (learning theory)","score":0.7126078605651855},{"id":"https://openalex.org/keywords/exponential-stability","display_name":"Exponential stability","score":0.6170230507850647},{"id":"https://openalex.org/keywords/applied-mathematics","display_name":"Applied mathematics","score":0.5100269913673401},{"id":"https://openalex.org/keywords/perceptron","display_name":"Perceptron","score":0.49543750286102295},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4812578856945038},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.4708252251148224},{"id":"https://openalex.org/keywords/computational-complexity-theory","display_name":"Computational complexity theory","score":0.4290492534637451},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.42095035314559937},{"id":"https://openalex.org/keywords/control-theory","display_name":"Control theory (sociology)","score":0.4012531042098999},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3114941716194153},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2401701807975769},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.17916738986968994},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.175946444272995},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.07855463027954102},{"id":"https://openalex.org/keywords/nonlinear-system","display_name":"Nonlinear system","score":0.056873708963394165},{"id":"https://openalex.org/keywords/control","display_name":"Control (management)","score":0.053084105253219604}],"concepts":[{"id":"https://openalex.org/C112972136","wikidata":"https://www.wikidata.org/wiki/Q7595718","display_name":"Stability (learning theory)","level":2,"score":0.7126078605651855},{"id":"https://openalex.org/C167964875","wikidata":"https://www.wikidata.org/wiki/Q17011487","display_name":"Exponential stability","level":3,"score":0.6170230507850647},{"id":"https://openalex.org/C28826006","wikidata":"https://www.wikidata.org/wiki/Q33521","display_name":"Applied mathematics","level":1,"score":0.5100269913673401},{"id":"https://openalex.org/C60908668","wikidata":"https://www.wikidata.org/wiki/Q690207","display_name":"Perceptron","level":3,"score":0.49543750286102295},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4812578856945038},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.4708252251148224},{"id":"https://openalex.org/C179799912","wikidata":"https://www.wikidata.org/wiki/Q205084","display_name":"Computational complexity theory","level":2,"score":0.4290492534637451},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.42095035314559937},{"id":"https://openalex.org/C47446073","wikidata":"https://www.wikidata.org/wiki/Q5165890","display_name":"Control theory (sociology)","level":3,"score":0.4012531042098999},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3114941716194153},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2401701807975769},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.17916738986968994},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.175946444272995},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.07855463027954102},{"id":"https://openalex.org/C158622935","wikidata":"https://www.wikidata.org/wiki/Q660848","display_name":"Nonlinear system","level":2,"score":0.056873708963394165},{"id":"https://openalex.org/C2775924081","wikidata":"https://www.wikidata.org/wiki/Q55608371","display_name":"Control (management)","level":2,"score":0.053084105253219604},{"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/cdc.2002.1184780","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cdc.2002.1184780","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 41st IEEE Conference on Decision and Control, 2002.","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":8,"referenced_works":["https://openalex.org/W1494912895","https://openalex.org/W1565956482","https://openalex.org/W2100295588","https://openalex.org/W2119158876","https://openalex.org/W2158773148","https://openalex.org/W2160152676","https://openalex.org/W2562735242","https://openalex.org/W6683634923"],"related_works":["https://openalex.org/W2082756648","https://openalex.org/W3194278305","https://openalex.org/W2289648981","https://openalex.org/W1565459987","https://openalex.org/W1593898832","https://openalex.org/W2142048021","https://openalex.org/W45198419","https://openalex.org/W2001427828","https://openalex.org/W2383529437","https://openalex.org/W2134075948"],"abstract_inverted_index":{"Two":[0],"criteria":[1,20],"for":[2],"analysis":[3],"of":[4,8,25],"global":[5],"asymptotic":[6],"stability":[7],"recurrent":[9],"multilayered":[10],"perceptrons":[11],"(RMLP)":[12],"are":[13,21],"presented":[14],"in":[15,22],"the":[16,23],"unperturbed":[17],"setting.":[18],"Both":[19],"form":[24],"LMI.":[26],"They":[27],"differ":[28],"by":[29],"their":[30],"strength":[31],"and":[32],"computational":[33],"complexity.":[34]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
