{"id":"https://openalex.org/W2990367444","doi":"https://doi.org/10.1109/access.2019.2953244","title":"Dissipativity Analysis of Complex-Valued Stochastic Neural Networks With Time-Varying Delays","display_name":"Dissipativity Analysis of Complex-Valued Stochastic Neural Networks With Time-Varying Delays","publication_year":2019,"publication_date":"2019-01-01","ids":{"openalex":"https://openalex.org/W2990367444","doi":"https://doi.org/10.1109/access.2019.2953244","mag":"2990367444"},"language":"en","primary_location":{"id":"doi:10.1109/access.2019.2953244","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2019.2953244","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8600701/08897640.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://ieeexplore.ieee.org/ielx7/6287639/8600701/08897640.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5053337653","display_name":"Meijuan Liu","orcid":"https://orcid.org/0000-0003-0905-8818"},"institutions":[{"id":"https://openalex.org/I80143920","display_name":"Shandong University of Science and Technology","ror":"https://ror.org/04gtjhw98","country_code":"CN","type":"education","lineage":["https://openalex.org/I80143920"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Meijuan Liu","raw_affiliation_strings":["College of Mathematics and Systems Science, Shandong University of Science and Technology, Qingdao, China"],"raw_orcid":"https://orcid.org/0000-0003-0905-8818","affiliations":[{"raw_affiliation_string":"College of Mathematics and Systems Science, Shandong University of Science and Technology, Qingdao, China","institution_ids":["https://openalex.org/I80143920"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100609657","display_name":"Xiangrong Wang","orcid":"https://orcid.org/0000-0002-0209-1503"},"institutions":[{"id":"https://openalex.org/I80143920","display_name":"Shandong University of Science and Technology","ror":"https://ror.org/04gtjhw98","country_code":"CN","type":"education","lineage":["https://openalex.org/I80143920"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiangrong Wang","raw_affiliation_strings":["College of Mathematics and Systems Science, Shandong University of Science and Technology, Qingdao, China"],"raw_orcid":"https://orcid.org/0000-0002-0209-1503","affiliations":[{"raw_affiliation_string":"College of Mathematics and Systems Science, Shandong University of Science and Technology, Qingdao, China","institution_ids":["https://openalex.org/I80143920"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5033923105","display_name":"Ziye Zhang","orcid":"https://orcid.org/0000-0002-5099-5486"},"institutions":[{"id":"https://openalex.org/I80143920","display_name":"Shandong University of Science and Technology","ror":"https://ror.org/04gtjhw98","country_code":"CN","type":"education","lineage":["https://openalex.org/I80143920"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ziye Zhang","raw_affiliation_strings":["College of Mathematics and Systems Science, Shandong University of Science and Technology, Qingdao, China"],"raw_orcid":"https://orcid.org/0000-0002-5099-5486","affiliations":[{"raw_affiliation_string":"College of Mathematics and Systems Science, Shandong University of Science and Technology, Qingdao, China","institution_ids":["https://openalex.org/I80143920"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100422268","display_name":"Zhen Wang","orcid":"https://orcid.org/0000-0001-7188-5828"},"institutions":[{"id":"https://openalex.org/I80143920","display_name":"Shandong University of Science and Technology","ror":"https://ror.org/04gtjhw98","country_code":"CN","type":"education","lineage":["https://openalex.org/I80143920"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhen Wang","raw_affiliation_strings":["College of Mathematics and Systems Science, Shandong University of Science and Technology, Qingdao, China"],"raw_orcid":"https://orcid.org/0000-0001-7188-5828","affiliations":[{"raw_affiliation_string":"College of Mathematics and Systems Science, Shandong University of Science and Technology, Qingdao, China","institution_ids":["https://openalex.org/I80143920"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I80143920"],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":0.7803,"has_fulltext":true,"cited_by_count":5,"citation_normalized_percentile":{"value":0.7724323,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":97},"biblio":{"volume":"7","issue":null,"first_page":"165076","last_page":"165087"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11347","display_name":"Neural Networks Stability and Synchronization","score":1.0,"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/T11347","display_name":"Neural Networks Stability and Synchronization","score":1.0,"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/T10046","display_name":"Stability and Control of Uncertain Systems","score":0.9922999739646912,"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":0.9909999966621399,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.657196044921875},{"id":"https://openalex.org/keywords/stochastic-neural-network","display_name":"Stochastic neural network","score":0.6089268326759338},{"id":"https://openalex.org/keywords/lyapunov-function","display_name":"Lyapunov function","score":0.48730790615081787},{"id":"https://openalex.org/keywords/applied-mathematics","display_name":"Applied mathematics","score":0.47707855701446533},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.4666478633880615},{"id":"https://openalex.org/keywords/linear-matrix-inequality","display_name":"Linear matrix inequality","score":0.4568222165107727},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.45673489570617676},{"id":"https://openalex.org/keywords/control-theory","display_name":"Control theory (sociology)","score":0.451504111289978},{"id":"https://openalex.org/keywords/work","display_name":"Work (physics)","score":0.4303285479545593},{"id":"https://openalex.org/keywords/matrix","display_name":"Matrix (chemical analysis)","score":0.42294076085090637},{"id":"https://openalex.org/keywords/stochastic-process","display_name":"Stochastic process","score":0.41193053126335144},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.2701747417449951},{"id":"https://openalex.org/keywords/recurrent-neural-network","display_name":"Recurrent neural network","score":0.2692447304725647},{"id":"https://openalex.org/keywords/nonlinear-system","display_name":"Nonlinear system","score":0.14191922545433044},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.0819966197013855},{"id":"https://openalex.org/keywords/control","display_name":"Control (management)","score":0.07147446274757385}],"concepts":[{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.657196044921875},{"id":"https://openalex.org/C86582703","wikidata":"https://www.wikidata.org/wiki/Q7617824","display_name":"Stochastic neural network","level":4,"score":0.6089268326759338},{"id":"https://openalex.org/C60640748","wikidata":"https://www.wikidata.org/wiki/Q2337858","display_name":"Lyapunov function","level":3,"score":0.48730790615081787},{"id":"https://openalex.org/C28826006","wikidata":"https://www.wikidata.org/wiki/Q33521","display_name":"Applied mathematics","level":1,"score":0.47707855701446533},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.4666478633880615},{"id":"https://openalex.org/C201829737","wikidata":"https://www.wikidata.org/wiki/Q2022760","display_name":"Linear matrix inequality","level":2,"score":0.4568222165107727},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.45673489570617676},{"id":"https://openalex.org/C47446073","wikidata":"https://www.wikidata.org/wiki/Q5165890","display_name":"Control theory (sociology)","level":3,"score":0.451504111289978},{"id":"https://openalex.org/C18762648","wikidata":"https://www.wikidata.org/wiki/Q42213","display_name":"Work (physics)","level":2,"score":0.4303285479545593},{"id":"https://openalex.org/C106487976","wikidata":"https://www.wikidata.org/wiki/Q685816","display_name":"Matrix (chemical analysis)","level":2,"score":0.42294076085090637},{"id":"https://openalex.org/C8272713","wikidata":"https://www.wikidata.org/wiki/Q176737","display_name":"Stochastic process","level":2,"score":0.41193053126335144},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.2701747417449951},{"id":"https://openalex.org/C147168706","wikidata":"https://www.wikidata.org/wiki/Q1457734","display_name":"Recurrent neural network","level":3,"score":0.2692447304725647},{"id":"https://openalex.org/C158622935","wikidata":"https://www.wikidata.org/wiki/Q660848","display_name":"Nonlinear system","level":2,"score":0.14191922545433044},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.0819966197013855},{"id":"https://openalex.org/C2775924081","wikidata":"https://www.wikidata.org/wiki/Q55608371","display_name":"Control (management)","level":2,"score":0.07147446274757385},{"id":"https://openalex.org/C78519656","wikidata":"https://www.wikidata.org/wiki/Q101333","display_name":"Mechanical engineering","level":1,"score":0.0},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","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/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2019.2953244","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2019.2953244","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8600701/08897640.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:ab28ad0a569d43ddbe21482a5d074323","is_oa":true,"landing_page_url":"https://doaj.org/article/ab28ad0a569d43ddbe21482a5d074323","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","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":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, Vol 7, Pp 165076-165087 (2019)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2019.2953244","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2019.2953244","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8600701/08897640.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities","score":0.4300000071525574}],"awards":[{"id":"https://openalex.org/G3796888210","display_name":null,"funder_award_id":"61503222)","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320311026","display_name":"Shandong University","ror":"https://ror.org/0207yh398"},{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320322522","display_name":"Shandong University of Science and Technology","ror":"https://ror.org/04gtjhw98"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2990367444.pdf","grobid_xml":"https://content.openalex.org/works/W2990367444.grobid-xml"},"referenced_works_count":55,"referenced_works":["https://openalex.org/W1823937713","https://openalex.org/W1972262258","https://openalex.org/W1972510095","https://openalex.org/W1981673401","https://openalex.org/W1990179652","https://openalex.org/W2000303153","https://openalex.org/W2001951765","https://openalex.org/W2016562720","https://openalex.org/W2020298866","https://openalex.org/W2029769505","https://openalex.org/W2037686415","https://openalex.org/W2042024731","https://openalex.org/W2057271850","https://openalex.org/W2069546115","https://openalex.org/W2072338133","https://openalex.org/W2081837399","https://openalex.org/W2090279330","https://openalex.org/W2095477585","https://openalex.org/W2110610296","https://openalex.org/W2112211334","https://openalex.org/W2112985045","https://openalex.org/W2124214538","https://openalex.org/W2136567646","https://openalex.org/W2138438518","https://openalex.org/W2156489053","https://openalex.org/W2189910507","https://openalex.org/W2489829012","https://openalex.org/W2494215613","https://openalex.org/W2509835289","https://openalex.org/W2526548677","https://openalex.org/W2550850944","https://openalex.org/W2562378697","https://openalex.org/W2606767684","https://openalex.org/W2609751201","https://openalex.org/W2614570124","https://openalex.org/W2619118201","https://openalex.org/W2741758940","https://openalex.org/W2754630447","https://openalex.org/W2762552068","https://openalex.org/W2768032929","https://openalex.org/W2794036203","https://openalex.org/W2796053841","https://openalex.org/W2803820553","https://openalex.org/W2807820314","https://openalex.org/W2899125647","https://openalex.org/W2902255553","https://openalex.org/W2902419951","https://openalex.org/W2902860349","https://openalex.org/W2910033929","https://openalex.org/W2924845864","https://openalex.org/W2948800568","https://openalex.org/W2970853634","https://openalex.org/W2978484465","https://openalex.org/W4248510537","https://openalex.org/W6664889354"],"related_works":["https://openalex.org/W2384699447","https://openalex.org/W4327639156","https://openalex.org/W2137494678","https://openalex.org/W1979227290","https://openalex.org/W2143379689","https://openalex.org/W207380334","https://openalex.org/W4238983073","https://openalex.org/W2167063264","https://openalex.org/W4224283474","https://openalex.org/W2115101923"],"abstract_inverted_index":{"This":[0],"paper":[1],"considers":[2],"the":[3,18,32,40,54,82],"dissipativity":[4,34],"analysis":[5,26],"problem":[6],"for":[7,31,66],"complex-valued":[8],"stochastic":[9,25],"neural":[10],"networks":[11],"(CVSNNs)":[12],"with":[13,53,68],"time-varying":[14,69],"delays.":[15],"By":[16],"constructing":[17],"Lyapunov":[19],"functions,":[20],"using":[21],"Jensen":[22],"inequality":[23],"and":[24,35,84],"techniques,":[27],"several":[28],"sufficient":[29],"conditions":[30],"exponential":[33],"(Q,":[36],"R,":[37],"S)-dissipativity":[38],"in":[39,45,57],"mean":[41],"square":[42],"are":[43,63,72,78],"obtained":[44],"terms":[46],"of":[47,86],"linear":[48],"matrix":[49],"inequalities":[50],"(LMIs).":[51],"Compared":[52],"existing":[55],"ones,":[56],"our":[58,87],"work,":[59],"some":[60],"results":[61],"which":[62],"more":[64],"applicable":[65],"CVSNNs":[67],"delays":[70],"case":[71],"derived.":[73],"Finally,":[74],"two":[75],"numerical":[76],"examples":[77],"provided":[79],"to":[80],"illustrate":[81],"effectiveness":[83],"improvement":[85],"theoretical":[88],"results.":[89]},"counts_by_year":[{"year":2022,"cited_by_count":2},{"year":2020,"cited_by_count":3}],"updated_date":"2026-08-01T09:00:35.917206","created_date":"2025-10-10T00:00:00"}
