{"id":"https://openalex.org/W2010921063","doi":"https://doi.org/10.1109/icinfa.2013.6720361","title":"Stochastic model predictive control of Markov jump linear systems based on a two-layer recurrent neural network","display_name":"Stochastic model predictive control of Markov jump linear systems based on a two-layer recurrent neural network","publication_year":2013,"publication_date":"2013-08-01","ids":{"openalex":"https://openalex.org/W2010921063","doi":"https://doi.org/10.1109/icinfa.2013.6720361","mag":"2010921063"},"language":"en","primary_location":{"id":"doi:10.1109/icinfa.2013.6720361","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icinfa.2013.6720361","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 IEEE International Conference on Information and Automation (ICIA)","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/A5102936263","display_name":"Zheng Yan","orcid":"https://orcid.org/0000-0003-3368-2100"},"institutions":[{"id":"https://openalex.org/I177725633","display_name":"Chinese University of Hong Kong","ror":"https://ror.org/00t33hh48","country_code":"HK","type":"education","lineage":["https://openalex.org/I177725633"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Zheng Yan","raw_affiliation_strings":["Department of Mechanical and Automation Engineering, The Chinese University of Hong Kong, Shatin, New Territories, Hong Kong","Dept. of Mech. & Autom. Eng., Chinese Univ. of Hong Kong, Hong Kong, China#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Mechanical and Automation Engineering, The Chinese University of Hong Kong, Shatin, New Territories, Hong Kong","institution_ids":["https://openalex.org/I177725633"]},{"raw_affiliation_string":"Dept. of Mech. & Autom. Eng., Chinese Univ. of Hong Kong, Hong Kong, China#TAB#","institution_ids":["https://openalex.org/I177725633"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100384686","display_name":"Jun Wang","orcid":"https://orcid.org/0000-0002-1305-5735"},"institutions":[{"id":"https://openalex.org/I177725633","display_name":"Chinese University of Hong Kong","ror":"https://ror.org/00t33hh48","country_code":"HK","type":"education","lineage":["https://openalex.org/I177725633"]},{"id":"https://openalex.org/I27357992","display_name":"Dalian University of Technology","ror":"https://ror.org/023hj5876","country_code":"CN","type":"education","lineage":["https://openalex.org/I27357992"]}],"countries":["CN","HK"],"is_corresponding":false,"raw_author_name":"Jun Wang","raw_affiliation_strings":["School of Control Science and Engineering, Dalian University of Technology, Dalian, Liaoning, China","Dept. of Mech. & Autom. Eng., Chinese Univ. of Hong Kong, Hong Kong, China#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Control Science and Engineering, Dalian University of Technology, Dalian, Liaoning, China","institution_ids":["https://openalex.org/I27357992"]},{"raw_affiliation_string":"Dept. of Mech. & Autom. Eng., Chinese Univ. of Hong Kong, Hong Kong, China#TAB#","institution_ids":["https://openalex.org/I177725633"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.936,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.67301625,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"38","issue":null,"first_page":"564","last_page":"569"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10791","display_name":"Advanced Control Systems Optimization","score":0.9995999932289124,"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/T10791","display_name":"Advanced Control Systems Optimization","score":0.9995999932289124,"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/T10876","display_name":"Fault Detection and Control Systems","score":0.9922000169754028,"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/T11749","display_name":"Iterative Learning Control Systems","score":0.98089998960495,"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":0.6562758684158325},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6241642236709595},{"id":"https://openalex.org/keywords/model-predictive-control","display_name":"Model predictive control","score":0.5558974146842957},{"id":"https://openalex.org/keywords/stochastic-neural-network","display_name":"Stochastic neural network","score":0.5490401983261108},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.545033872127533},{"id":"https://openalex.org/keywords/optimization-problem","display_name":"Optimization problem","score":0.513195812702179},{"id":"https://openalex.org/keywords/convex-optimization","display_name":"Convex optimization","score":0.49258118867874146},{"id":"https://openalex.org/keywords/markov-process","display_name":"Markov process","score":0.47883251309394836},{"id":"https://openalex.org/keywords/recurrent-neural-network","display_name":"Recurrent neural network","score":0.4725256562232971},{"id":"https://openalex.org/keywords/jump","display_name":"Jump","score":0.45469585061073303},{"id":"https://openalex.org/keywords/nonlinear-system","display_name":"Nonlinear system","score":0.44685158133506775},{"id":"https://openalex.org/keywords/markov-chain","display_name":"Markov chain","score":0.44196629524230957},{"id":"https://openalex.org/keywords/control","display_name":"Control (management)","score":0.36240842938423157},{"id":"https://openalex.org/keywords/control-theory","display_name":"Control theory (sociology)","score":0.35167282819747925},{"id":"https://openalex.org/keywords/regular-polygon","display_name":"Regular polygon","score":0.30811256170272827},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2620377540588379},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.20718169212341309},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.20129022002220154},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.18611979484558105}],"concepts":[{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.6562758684158325},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6241642236709595},{"id":"https://openalex.org/C172205157","wikidata":"https://www.wikidata.org/wiki/Q1782962","display_name":"Model predictive control","level":3,"score":0.5558974146842957},{"id":"https://openalex.org/C86582703","wikidata":"https://www.wikidata.org/wiki/Q7617824","display_name":"Stochastic neural network","level":4,"score":0.5490401983261108},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.545033872127533},{"id":"https://openalex.org/C137836250","wikidata":"https://www.wikidata.org/wiki/Q984063","display_name":"Optimization problem","level":2,"score":0.513195812702179},{"id":"https://openalex.org/C157972887","wikidata":"https://www.wikidata.org/wiki/Q463359","display_name":"Convex optimization","level":3,"score":0.49258118867874146},{"id":"https://openalex.org/C159886148","wikidata":"https://www.wikidata.org/wiki/Q176645","display_name":"Markov process","level":2,"score":0.47883251309394836},{"id":"https://openalex.org/C147168706","wikidata":"https://www.wikidata.org/wiki/Q1457734","display_name":"Recurrent neural network","level":3,"score":0.4725256562232971},{"id":"https://openalex.org/C2780695682","wikidata":"https://www.wikidata.org/wiki/Q4005959","display_name":"Jump","level":2,"score":0.45469585061073303},{"id":"https://openalex.org/C158622935","wikidata":"https://www.wikidata.org/wiki/Q660848","display_name":"Nonlinear system","level":2,"score":0.44685158133506775},{"id":"https://openalex.org/C98763669","wikidata":"https://www.wikidata.org/wiki/Q176645","display_name":"Markov chain","level":2,"score":0.44196629524230957},{"id":"https://openalex.org/C2775924081","wikidata":"https://www.wikidata.org/wiki/Q55608371","display_name":"Control (management)","level":2,"score":0.36240842938423157},{"id":"https://openalex.org/C47446073","wikidata":"https://www.wikidata.org/wiki/Q5165890","display_name":"Control theory (sociology)","level":3,"score":0.35167282819747925},{"id":"https://openalex.org/C112680207","wikidata":"https://www.wikidata.org/wiki/Q714886","display_name":"Regular polygon","level":2,"score":0.30811256170272827},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2620377540588379},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.20718169212341309},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.20129022002220154},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.18611979484558105},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","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/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","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}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/icinfa.2013.6720361","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icinfa.2013.6720361","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 IEEE International Conference on Information and Automation (ICIA)","raw_type":"proceedings-article"},{"id":"pmh:oai:opus.lib.uts.edu.au:10453/120950","is_oa":false,"landing_page_url":"http://hdl.handle.net/10453/120950","pdf_url":null,"source":{"id":"https://openalex.org/S4306401357","display_name":"UTS ePRESS (University of Technology Sydney)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I114017466","host_organization_name":"University of Technology Sydney","host_organization_lineage":["https://openalex.org/I114017466"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Conference Proceeding"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":41,"referenced_works":["https://openalex.org/W167288180","https://openalex.org/W1490978409","https://openalex.org/W1600218503","https://openalex.org/W1600786366","https://openalex.org/W1963805330","https://openalex.org/W1974854420","https://openalex.org/W1978956894","https://openalex.org/W1980385687","https://openalex.org/W1981723834","https://openalex.org/W1983001233","https://openalex.org/W1988901237","https://openalex.org/W2003391157","https://openalex.org/W2010348927","https://openalex.org/W2016535978","https://openalex.org/W2036553018","https://openalex.org/W2037450006","https://openalex.org/W2056625347","https://openalex.org/W2058804598","https://openalex.org/W2084166574","https://openalex.org/W2097148013","https://openalex.org/W2097902574","https://openalex.org/W2106812200","https://openalex.org/W2108658536","https://openalex.org/W2111986387","https://openalex.org/W2114246772","https://openalex.org/W2115562234","https://openalex.org/W2118204568","https://openalex.org/W2126605878","https://openalex.org/W2132552866","https://openalex.org/W2134673975","https://openalex.org/W2134702196","https://openalex.org/W2144305242","https://openalex.org/W2149276643","https://openalex.org/W2152555602","https://openalex.org/W2153119881","https://openalex.org/W2154067661","https://openalex.org/W2156521550","https://openalex.org/W2158810475","https://openalex.org/W2164957979","https://openalex.org/W2169754855","https://openalex.org/W2174039755"],"related_works":["https://openalex.org/W4298287631","https://openalex.org/W2953061907","https://openalex.org/W3032952384","https://openalex.org/W3034302643","https://openalex.org/W1847088711","https://openalex.org/W4225394202","https://openalex.org/W3036642985","https://openalex.org/W1538606284","https://openalex.org/W2373874059","https://openalex.org/W1538193578"],"abstract_inverted_index":{"This":[0],"paper":[1],"presents":[2],"a":[3,28,39],"stochastic":[4,20],"model":[5,21],"predictive":[6,22],"control":[7,23],"approach":[8],"to":[9,53,66],"constrained":[10],"Markov":[11],"jump":[12],"linear":[13],"systems":[14],"based":[15],"on":[16],"neurodynamic":[17],"optimization.":[18],"The":[19,46],"problem":[24],"is":[25,34],"formulated":[26],"as":[27],"nonlinear":[29],"convex":[30],"optimization":[31,60],"problem,":[32],"which":[33],"iteratively":[35],"solved":[36],"by":[37],"using":[38],"two-layer":[40],"recurrent":[41],"neural":[42,48],"network":[43,49],"in":[44],"real-time.":[45],"applied":[47],"can":[50],"globally":[51],"converge":[52],"the":[54,59,68,73],"exact":[55],"optimal":[56],"solution":[57],"of":[58,72],"problem.":[61],"Simulation":[62],"results":[63],"are":[64],"provided":[65],"demonstrate":[67],"effectiveness":[69],"and":[70],"characteristics":[71],"proposed":[74],"approach.":[75]},"counts_by_year":[{"year":2016,"cited_by_count":1},{"year":2015,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}