{"id":"https://openalex.org/W2724361990","doi":"https://doi.org/10.1080/00207721.2017.1344890","title":"Fault-tolerant optimised tracking control for unknown discrete-time linear systems using a combined reinforcement learning and residual compensation methodology","display_name":"Fault-tolerant optimised tracking control for unknown discrete-time linear systems using a combined reinforcement learning and residual compensation methodology","publication_year":2017,"publication_date":"2017-07-06","ids":{"openalex":"https://openalex.org/W2724361990","doi":"https://doi.org/10.1080/00207721.2017.1344890","mag":"2724361990"},"language":"en","primary_location":{"id":"doi:10.1080/00207721.2017.1344890","is_oa":false,"landing_page_url":"https://doi.org/10.1080/00207721.2017.1344890","pdf_url":null,"source":{"id":"https://openalex.org/S129640837","display_name":"International Journal of Systems Science","issn_l":"0020-7721","issn":["0020-7721","1464-5319"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547"],"host_organization_lineage_names":["Taylor & Francis"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Systems Science","raw_type":"journal-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/A5071380185","display_name":"Kezhen Han","orcid":"https://orcid.org/0000-0002-6465-3487"},"institutions":[{"id":"https://openalex.org/I9224756","display_name":"Northeastern University","ror":"https://ror.org/03awzbc87","country_code":"CN","type":"education","lineage":["https://openalex.org/I9224756"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ke-Zhen Han","raw_affiliation_strings":["School of Information Science and Engineering, Northeastern University, Shenyang, People's Republic of China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Information Science and Engineering, Northeastern University, Shenyang, People's Republic of China","institution_ids":["https://openalex.org/I9224756"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5010565829","display_name":"Jian Feng","orcid":"https://orcid.org/0000-0001-6813-6754"},"institutions":[{"id":"https://openalex.org/I9224756","display_name":"Northeastern University","ror":"https://ror.org/03awzbc87","country_code":"CN","type":"education","lineage":["https://openalex.org/I9224756"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Jian Feng","raw_affiliation_strings":["School of Information Science and Engineering, Northeastern University, Shenyang, People's Republic of China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Information Science and Engineering, Northeastern University, Shenyang, People's Republic of China","institution_ids":["https://openalex.org/I9224756"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5102886432","display_name":"Xiaohong Cui","orcid":null},"institutions":[{"id":"https://openalex.org/I9224756","display_name":"Northeastern University","ror":"https://ror.org/03awzbc87","country_code":"CN","type":"education","lineage":["https://openalex.org/I9224756"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaohong Cui","raw_affiliation_strings":["School of Information Science and Engineering, Northeastern University, Shenyang, People's Republic of China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Information Science and Engineering, Northeastern University, Shenyang, People's Republic of China","institution_ids":["https://openalex.org/I9224756"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5010565829"],"corresponding_institution_ids":["https://openalex.org/I9224756"],"apc_list":null,"apc_paid":null,"fwci":1.8332,"has_fulltext":false,"cited_by_count":11,"citation_normalized_percentile":{"value":0.86874844,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"48","issue":"13","first_page":"2811","last_page":"2825"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12794","display_name":"Adaptive Dynamic Programming Control","score":0.9994999766349792,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"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/T12794","display_name":"Adaptive Dynamic Programming Control","score":0.9994999766349792,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"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/T10876","display_name":"Fault Detection and Control Systems","score":0.9904000163078308,"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/T10040","display_name":"Adaptive Control of Nonlinear Systems","score":0.9821000099182129,"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/residual","display_name":"Residual","score":0.7100005149841309},{"id":"https://openalex.org/keywords/control-theory","display_name":"Control theory (sociology)","score":0.6943836212158203},{"id":"https://openalex.org/keywords/subspace-topology","display_name":"Subspace topology","score":0.6937256455421448},{"id":"https://openalex.org/keywords/fault-detection-and-isolation","display_name":"Fault detection and isolation","score":0.6351507902145386},{"id":"https://openalex.org/keywords/reinforcement-learning","display_name":"Reinforcement learning","score":0.5769416689872742},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5276552438735962},{"id":"https://openalex.org/keywords/compensation","display_name":"Compensation (psychology)","score":0.499281644821167},{"id":"https://openalex.org/keywords/observer","display_name":"Observer (physics)","score":0.43283137679100037},{"id":"https://openalex.org/keywords/fault-tolerance","display_name":"Fault tolerance","score":0.41557133197784424},{"id":"https://openalex.org/keywords/control-engineering","display_name":"Control engineering","score":0.3871523439884186},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.28258347511291504},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.27381229400634766},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.22078922390937805},{"id":"https://openalex.org/keywords/control","display_name":"Control (management)","score":0.19704988598823547},{"id":"https://openalex.org/keywords/actuator","display_name":"Actuator","score":0.07282441854476929}],"concepts":[{"id":"https://openalex.org/C155512373","wikidata":"https://www.wikidata.org/wiki/Q287450","display_name":"Residual","level":2,"score":0.7100005149841309},{"id":"https://openalex.org/C47446073","wikidata":"https://www.wikidata.org/wiki/Q5165890","display_name":"Control theory (sociology)","level":3,"score":0.6943836212158203},{"id":"https://openalex.org/C32834561","wikidata":"https://www.wikidata.org/wiki/Q660730","display_name":"Subspace topology","level":2,"score":0.6937256455421448},{"id":"https://openalex.org/C152745839","wikidata":"https://www.wikidata.org/wiki/Q5438153","display_name":"Fault detection and isolation","level":3,"score":0.6351507902145386},{"id":"https://openalex.org/C97541855","wikidata":"https://www.wikidata.org/wiki/Q830687","display_name":"Reinforcement learning","level":2,"score":0.5769416689872742},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5276552438735962},{"id":"https://openalex.org/C2780023022","wikidata":"https://www.wikidata.org/wiki/Q1338171","display_name":"Compensation (psychology)","level":2,"score":0.499281644821167},{"id":"https://openalex.org/C2780704645","wikidata":"https://www.wikidata.org/wiki/Q9251458","display_name":"Observer (physics)","level":2,"score":0.43283137679100037},{"id":"https://openalex.org/C63540848","wikidata":"https://www.wikidata.org/wiki/Q3140932","display_name":"Fault tolerance","level":2,"score":0.41557133197784424},{"id":"https://openalex.org/C133731056","wikidata":"https://www.wikidata.org/wiki/Q4917288","display_name":"Control engineering","level":1,"score":0.3871523439884186},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.28258347511291504},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.27381229400634766},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.22078922390937805},{"id":"https://openalex.org/C2775924081","wikidata":"https://www.wikidata.org/wiki/Q55608371","display_name":"Control (management)","level":2,"score":0.19704988598823547},{"id":"https://openalex.org/C172707124","wikidata":"https://www.wikidata.org/wiki/Q423488","display_name":"Actuator","level":2,"score":0.07282441854476929},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.0},{"id":"https://openalex.org/C11171543","wikidata":"https://www.wikidata.org/wiki/Q41630","display_name":"Psychoanalysis","level":1,"score":0.0},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","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},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1080/00207721.2017.1344890","is_oa":false,"landing_page_url":"https://doi.org/10.1080/00207721.2017.1344890","pdf_url":null,"source":{"id":"https://openalex.org/S129640837","display_name":"International Journal of Systems Science","issn_l":"0020-7721","issn":["0020-7721","1464-5319"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547"],"host_organization_lineage_names":["Taylor & Francis"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Systems Science","raw_type":"journal-article"},{"id":"pmh:oai:RePEc:taf:tsysxx:v:48:y:2017:i:13:p:2811-2825","is_oa":false,"landing_page_url":"http://hdl.handle.net/10.1080/00207721.2017.1344890","pdf_url":null,"source":{"id":"https://openalex.org/S4306401271","display_name":"RePEc: Research Papers in Economics","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I77793887","host_organization_name":"Federal Reserve Bank of St. Louis","host_organization_lineage":["https://openalex.org/I77793887"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G2115253062","display_name":null,"funder_award_id":"61273164, 61433004, 61673093","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G352142939","display_name":null,"funder_award_id":"N130104001, N140406004","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320335787","display_name":"Fundamental Research Funds for the Central Universities","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":47,"referenced_works":["https://openalex.org/W108857541","https://openalex.org/W563702179","https://openalex.org/W565798578","https://openalex.org/W1579424694","https://openalex.org/W1790534215","https://openalex.org/W1965640670","https://openalex.org/W1970537494","https://openalex.org/W1971115921","https://openalex.org/W1972243698","https://openalex.org/W1976956127","https://openalex.org/W1978170465","https://openalex.org/W1990260848","https://openalex.org/W2003639131","https://openalex.org/W2005437559","https://openalex.org/W2013895638","https://openalex.org/W2014441923","https://openalex.org/W2018850871","https://openalex.org/W2025735965","https://openalex.org/W2026750739","https://openalex.org/W2052305027","https://openalex.org/W2055861714","https://openalex.org/W2058201590","https://openalex.org/W2059953568","https://openalex.org/W2060686658","https://openalex.org/W2078881969","https://openalex.org/W2080447794","https://openalex.org/W2085464048","https://openalex.org/W2088540877","https://openalex.org/W2098035803","https://openalex.org/W2111424436","https://openalex.org/W2127053284","https://openalex.org/W2148087508","https://openalex.org/W2169347809","https://openalex.org/W2221393477","https://openalex.org/W2327933814","https://openalex.org/W2329769476","https://openalex.org/W2333120204","https://openalex.org/W2338719424","https://openalex.org/W2340061137","https://openalex.org/W2343090116","https://openalex.org/W2343278418","https://openalex.org/W2407115150","https://openalex.org/W2476930474","https://openalex.org/W2492870335","https://openalex.org/W2494112937","https://openalex.org/W4231980343","https://openalex.org/W4251754196"],"related_works":["https://openalex.org/W1980381208","https://openalex.org/W2364594919","https://openalex.org/W2167092671","https://openalex.org/W1861706286","https://openalex.org/W4306904969","https://openalex.org/W2219338811","https://openalex.org/W2149583853","https://openalex.org/W2143002539","https://openalex.org/W3121254296","https://openalex.org/W2060193301"],"abstract_inverted_index":{"This":[0],"paper":[1],"considers":[2],"the":[3,21,43,101,129,134],"fault-tolerant":[4],"optimised":[5,75],"tracking":[6,46,76],"control":[7,47,77],"(FTOTC)":[8],"problem":[9],"for":[10],"unknown":[11],"discrete-time":[12],"linear":[13],"system.":[14],"A":[15],"research":[16,39],"scheme":[17,40],"is":[18,109,141],"proposed":[19,135],"on":[20,80],"basis":[22],"of":[23,37,56,133],"data-based":[24],"parity":[25],"space":[26],"identification,":[27],"reinforcement":[28,70],"learning":[29],"and":[30,48,103,122],"residual":[31,49,67,93],"compensation":[32],"techniques.":[33],"The":[34,51,119],"main":[35,58],"characteristic":[36],"this":[38],"lies":[41],"in":[42],"parity-space-identification-based":[44],"simultaneous":[45],"compensation.":[50,98],"specific":[52],"technical":[53],"line":[54],"consists":[55],"four":[57,116],"contents:":[59],"apply":[60],"subspace":[61],"aided":[62],"method":[63],"to":[64,73,84,95,112,127,143],"design":[65,102],"observer-based":[66],"generator;":[68],"use":[69],"Q-learning":[71],"approach":[72],"solve":[74],"policy;":[78],"rely":[79],"robust":[81],"H\u221e":[82],"theory":[83],"achieve":[85],"noise":[86],"attenuation;":[87],"adopt":[88],"fault":[89,97],"estimation":[90],"triggered":[91],"by":[92],"generator":[94],"perform":[96],"To":[99],"clarify":[100],"implementation":[104],"procedures,":[105],"an":[106],"integrated":[107],"algorithm":[108],"further":[110],"constructed":[111],"link":[113],"up":[114],"these":[115],"functional":[117],"units.":[118],"detailed":[120],"analysis":[121],"proof":[123],"are":[124],"subsequently":[125],"given":[126],"explain":[128],"guaranteed":[130],"FTOTC":[131],"performance":[132],"conclusions.":[136],"Finally,":[137],"a":[138],"case":[139],"simulation":[140],"provided":[142],"verify":[144],"its":[145],"effectiveness.":[146]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":3},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
