{"id":"https://openalex.org/W3094150193","doi":"https://doi.org/10.1109/tnnls.2020.3026208","title":"Prescribed Performance Adaptive Neural Compensation Control for Intermittent Actuator Faults by State and Output Feedback","display_name":"Prescribed Performance Adaptive Neural Compensation Control for Intermittent Actuator Faults by State and Output Feedback","publication_year":2020,"publication_date":"2020-10-21","ids":{"openalex":"https://openalex.org/W3094150193","doi":"https://doi.org/10.1109/tnnls.2020.3026208","mag":"3094150193","pmid":"https://pubmed.ncbi.nlm.nih.gov/33079673"},"language":"en","primary_location":{"id":"doi:10.1109/tnnls.2020.3026208","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tnnls.2020.3026208","pdf_url":null,"source":{"id":"https://openalex.org/S4210175523","display_name":"IEEE Transactions on Neural Networks and Learning Systems","issn_l":"2162-237X","issn":["2162-237X","2162-2388"],"is_oa":false,"is_in_doaj":false,"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":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Neural Networks and Learning Systems","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"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/A5063259230","display_name":"Yongqiang Nai","orcid":"https://orcid.org/0000-0003-4904-8147"},"institutions":[{"id":"https://openalex.org/I87445476","display_name":"Xi'an Jiaotong University","ror":"https://ror.org/017zhmm22","country_code":"CN","type":"education","lineage":["https://openalex.org/I87445476"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yongqiang Nai","raw_affiliation_strings":["School of Automation Science and Engineering, Xi\u2019an Jiaotong University, Xi\u2019an, China","School of Automation Science and Engineering, Xi'an Jiaotong University, Xi'an, China"],"raw_orcid":"https://orcid.org/0000-0003-4904-8147","affiliations":[{"raw_affiliation_string":"School of Automation Science and Engineering, Xi\u2019an Jiaotong University, Xi\u2019an, China","institution_ids":["https://openalex.org/I87445476"]},{"raw_affiliation_string":"School of Automation Science and Engineering, Xi'an Jiaotong University, Xi'an, China","institution_ids":["https://openalex.org/I87445476"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5087373711","display_name":"Qingyu Yang","orcid":"https://orcid.org/0000-0002-1525-2900"},"institutions":[{"id":"https://openalex.org/I87445476","display_name":"Xi'an Jiaotong University","ror":"https://ror.org/017zhmm22","country_code":"CN","type":"education","lineage":["https://openalex.org/I87445476"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qingyu Yang","raw_affiliation_strings":["School of Automation Science and Engineering, Xi\u2019an Jiaotong University, Xi\u2019an, China","State Key Laboratory for Manufacturing System Engineering, Xi\u2019an Jiaotong University, Xi\u2019an, China","State Key Laboratory for Manufacturing System Engineering, Xi'an Jiaotong University, Xi'an, China","School of Automation Science and Engineering, Xi'an Jiaotong University, Xi'an, China"],"raw_orcid":"https://orcid.org/0000-0002-1525-2900","affiliations":[{"raw_affiliation_string":"School of Automation Science and Engineering, Xi\u2019an Jiaotong University, Xi\u2019an, China","institution_ids":["https://openalex.org/I87445476"]},{"raw_affiliation_string":"State Key Laboratory for Manufacturing System Engineering, Xi\u2019an Jiaotong University, Xi\u2019an, China","institution_ids":["https://openalex.org/I87445476"]},{"raw_affiliation_string":"State Key Laboratory for Manufacturing System Engineering, Xi'an Jiaotong University, Xi'an, China","institution_ids":["https://openalex.org/I87445476"]},{"raw_affiliation_string":"School of Automation Science and Engineering, Xi'an Jiaotong University, Xi'an, China","institution_ids":["https://openalex.org/I87445476"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5053349477","display_name":"Zongze Wu","orcid":"https://orcid.org/0000-0002-2115-8670"},"institutions":[{"id":"https://openalex.org/I139024713","display_name":"Guangdong University of Technology","ror":"https://ror.org/04azbjn80","country_code":"CN","type":"education","lineage":["https://openalex.org/I139024713"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zongze Wu","raw_affiliation_strings":["School of Automation, Guangdong University of Technology, Guangzhou, China"],"raw_orcid":"https://orcid.org/0000-0002-2115-8670","affiliations":[{"raw_affiliation_string":"School of Automation, Guangdong University of Technology, Guangzhou, China","institution_ids":["https://openalex.org/I139024713"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5063259230"],"corresponding_institution_ids":["https://openalex.org/I87445476"],"apc_list":null,"apc_paid":null,"fwci":1.4878,"has_fulltext":false,"cited_by_count":24,"citation_normalized_percentile":{"value":0.82447761,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":"32","issue":"11","first_page":"4931","last_page":"4945"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10040","display_name":"Adaptive Control of Nonlinear Systems","score":0.9997000098228455,"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/T10040","display_name":"Adaptive Control of Nonlinear Systems","score":0.9997000098228455,"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/T12794","display_name":"Adaptive Dynamic Programming Control","score":0.9987999796867371,"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/T11347","display_name":"Neural Networks Stability and Synchronization","score":0.9900000095367432,"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/control-theory","display_name":"Control theory (sociology)","score":0.9113605618476868},{"id":"https://openalex.org/keywords/backstepping","display_name":"Backstepping","score":0.8146413564682007},{"id":"https://openalex.org/keywords/actuator","display_name":"Actuator","score":0.5269085764884949},{"id":"https://openalex.org/keywords/observer","display_name":"Observer (physics)","score":0.5212172269821167},{"id":"https://openalex.org/keywords/residual","display_name":"Residual","score":0.4946536719799042},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.48991698026657104},{"id":"https://openalex.org/keywords/transient","display_name":"Transient (computer programming)","score":0.4804372489452362},{"id":"https://openalex.org/keywords/lyapunov-function","display_name":"Lyapunov function","score":0.4610101580619812},{"id":"https://openalex.org/keywords/cascade","display_name":"Cascade","score":0.45885446667671204},{"id":"https://openalex.org/keywords/state-observer","display_name":"State observer","score":0.4569116532802582},{"id":"https://openalex.org/keywords/tracking-error","display_name":"Tracking error","score":0.4566672146320343},{"id":"https://openalex.org/keywords/nonlinear-system","display_name":"Nonlinear system","score":0.44733840227127075},{"id":"https://openalex.org/keywords/compensation","display_name":"Compensation (psychology)","score":0.4460655748844147},{"id":"https://openalex.org/keywords/adaptive-control","display_name":"Adaptive control","score":0.43424713611602783},{"id":"https://openalex.org/keywords/control-engineering","display_name":"Control engineering","score":0.33446717262268066},{"id":"https://openalex.org/keywords/control","display_name":"Control (management)","score":0.30706673860549927},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.27535271644592285},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.09319993853569031}],"concepts":[{"id":"https://openalex.org/C47446073","wikidata":"https://www.wikidata.org/wiki/Q5165890","display_name":"Control theory (sociology)","level":3,"score":0.9113605618476868},{"id":"https://openalex.org/C72218879","wikidata":"https://www.wikidata.org/wiki/Q4839759","display_name":"Backstepping","level":4,"score":0.8146413564682007},{"id":"https://openalex.org/C172707124","wikidata":"https://www.wikidata.org/wiki/Q423488","display_name":"Actuator","level":2,"score":0.5269085764884949},{"id":"https://openalex.org/C2780704645","wikidata":"https://www.wikidata.org/wiki/Q9251458","display_name":"Observer (physics)","level":2,"score":0.5212172269821167},{"id":"https://openalex.org/C155512373","wikidata":"https://www.wikidata.org/wiki/Q287450","display_name":"Residual","level":2,"score":0.4946536719799042},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.48991698026657104},{"id":"https://openalex.org/C2780799671","wikidata":"https://www.wikidata.org/wiki/Q17087362","display_name":"Transient (computer programming)","level":2,"score":0.4804372489452362},{"id":"https://openalex.org/C60640748","wikidata":"https://www.wikidata.org/wiki/Q2337858","display_name":"Lyapunov function","level":3,"score":0.4610101580619812},{"id":"https://openalex.org/C34146451","wikidata":"https://www.wikidata.org/wiki/Q5048094","display_name":"Cascade","level":2,"score":0.45885446667671204},{"id":"https://openalex.org/C3031470","wikidata":"https://www.wikidata.org/wiki/Q818544","display_name":"State observer","level":3,"score":0.4569116532802582},{"id":"https://openalex.org/C183356978","wikidata":"https://www.wikidata.org/wiki/Q1779213","display_name":"Tracking error","level":3,"score":0.4566672146320343},{"id":"https://openalex.org/C158622935","wikidata":"https://www.wikidata.org/wiki/Q660848","display_name":"Nonlinear system","level":2,"score":0.44733840227127075},{"id":"https://openalex.org/C2780023022","wikidata":"https://www.wikidata.org/wiki/Q1338171","display_name":"Compensation (psychology)","level":2,"score":0.4460655748844147},{"id":"https://openalex.org/C107464732","wikidata":"https://www.wikidata.org/wiki/Q235781","display_name":"Adaptive control","level":3,"score":0.43424713611602783},{"id":"https://openalex.org/C133731056","wikidata":"https://www.wikidata.org/wiki/Q4917288","display_name":"Control engineering","level":1,"score":0.33446717262268066},{"id":"https://openalex.org/C2775924081","wikidata":"https://www.wikidata.org/wiki/Q55608371","display_name":"Control (management)","level":2,"score":0.30706673860549927},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.27535271644592285},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.09319993853569031},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","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/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"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/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.0},{"id":"https://openalex.org/C42360764","wikidata":"https://www.wikidata.org/wiki/Q83588","display_name":"Chemical engineering","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tnnls.2020.3026208","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tnnls.2020.3026208","pdf_url":null,"source":{"id":"https://openalex.org/S4210175523","display_name":"IEEE Transactions on Neural Networks and Learning Systems","issn_l":"2162-237X","issn":["2162-237X","2162-2388"],"is_oa":false,"is_in_doaj":false,"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":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Neural Networks and Learning Systems","raw_type":"journal-article"},{"id":"pmid:33079673","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/33079673","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE transactions on neural networks and learning systems","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.7799999713897705,"display_name":"Peace, Justice and strong institutions","id":"https://metadata.un.org/sdg/16"}],"awards":[{"id":"https://openalex.org/G5319749348","display_name":null,"funder_award_id":"U1701261","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5346287954","display_name":null,"funder_award_id":"61633001","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7192844520","display_name":null,"funder_award_id":"61673315","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7363140768","display_name":null,"funder_award_id":"61973274","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":54,"referenced_works":["https://openalex.org/W1542674537","https://openalex.org/W1569189826","https://openalex.org/W1770890430","https://openalex.org/W1965345898","https://openalex.org/W1989224980","https://openalex.org/W2014993114","https://openalex.org/W2018203225","https://openalex.org/W2018454897","https://openalex.org/W2068835993","https://openalex.org/W2076597241","https://openalex.org/W2083070612","https://openalex.org/W2086186132","https://openalex.org/W2089811582","https://openalex.org/W2090167557","https://openalex.org/W2096801650","https://openalex.org/W2097121541","https://openalex.org/W2102531244","https://openalex.org/W2106557935","https://openalex.org/W2108973356","https://openalex.org/W2111072639","https://openalex.org/W2127801773","https://openalex.org/W2132842946","https://openalex.org/W2137824246","https://openalex.org/W2141695047","https://openalex.org/W2160229694","https://openalex.org/W2220459598","https://openalex.org/W2318471083","https://openalex.org/W2337508653","https://openalex.org/W2342952057","https://openalex.org/W2559610648","https://openalex.org/W2591102867","https://openalex.org/W2599768448","https://openalex.org/W2614561146","https://openalex.org/W2617712996","https://openalex.org/W2718714450","https://openalex.org/W2729263647","https://openalex.org/W2747580379","https://openalex.org/W2764289007","https://openalex.org/W2766407848","https://openalex.org/W2800384809","https://openalex.org/W2900123164","https://openalex.org/W2905413452","https://openalex.org/W2944643757","https://openalex.org/W2945984369","https://openalex.org/W2960146582","https://openalex.org/W2963825128","https://openalex.org/W2981847292","https://openalex.org/W2998881017","https://openalex.org/W2999813176","https://openalex.org/W3003537242","https://openalex.org/W3098399192","https://openalex.org/W3104471247","https://openalex.org/W4298022490","https://openalex.org/W6679798859"],"related_works":["https://openalex.org/W1847613412","https://openalex.org/W2376449068","https://openalex.org/W2972367213","https://openalex.org/W4382203996","https://openalex.org/W4365392829","https://openalex.org/W2100998971","https://openalex.org/W3088355205","https://openalex.org/W2002811656","https://openalex.org/W2990087644","https://openalex.org/W4320038209"],"abstract_inverted_index":{"Due":[0],"to":[1,86,194,211],"the":[2,56,65,73,88,94,102,113,130,139,150,156,165,173,176,186,196,203,213,216],"existing":[3],"effects":[4,157],"of":[5,8,50,58,132,158,161,175,215],"intermittent":[6,25,159],"jumps":[7,160],"unknown":[9,24,162],"parameters":[10],"during":[11],"operation,":[12],"effectively":[13],"establishing":[14],"transient":[15,168],"and":[16,91,105,117,169],"steady-state":[17,170],"tracking":[18,140,177,187,197],"performances":[19,171],"in":[20,92,112,172],"control":[21,39,68,97],"systems":[22],"with":[23],"actuator":[26],"faults":[27],"is":[28,70,84,99,121,192],"very":[29],"important.":[30],"In":[31],"this":[32],"article,":[33],"two":[34],"prescribed":[35,143,166],"performance":[36,188,198],"adaptive":[37,114],"neural":[38],"schemes":[40,125],"based":[41],"on":[42],"command-filtered":[43],"backstepping":[44],"are":[45,76,179,209],"developed":[46],"for":[47,63,148],"a":[48,80],"class":[49],"uncertain":[51],"strict-feedback":[52],"nonlinear":[53],"systems.":[54],"Under":[55],"condition":[57],"system":[59,74,89,167],"states":[60,75],"being":[61],"available":[62],"feedback,":[64],"state":[66,200],"feedback":[67,96,191,201],"scheme":[69,98],"investigated.":[71],"When":[72],"not":[77,127],"directly":[78],"measured,":[79],"cascade":[81],"high-gain":[82],"observer":[83,204],"designed":[85],"reconstruct":[87],"states,":[90],"turn,":[93],"output":[95,190],"presented.":[100],"Since":[101],"projection":[103],"operator":[104],"modified":[106],"Lyapunov":[107],"function":[108],"are,":[109],"respectively,":[110],"used":[111],"law":[115],"design":[116],"stability":[118],"analysis,":[119],"it":[120],"proven":[122],"that":[123,185],"both":[124],"can":[126],"only":[128],"ensure":[129],"boundedness":[131],"all":[133,149],"closed-loop":[134],"signals":[135],"but":[136],"also":[137,183],"confine":[138],"errors":[141,178],"within":[142],"arbitrarily":[144],"small":[145],"residual":[146],"sets":[147],"time":[151],"even":[152],"if":[153],"there":[154],"exist":[155],"parameters.":[163],"Thus,":[164],"sense":[174],"established.":[180],"Furthermore,":[181],"we":[182],"prove":[184],"under":[189,199],"able":[193],"recover":[195],"as":[202],"gain":[205],"decreases.":[206],"Simulation":[207],"studies":[208],"done":[210],"verify":[212],"effectiveness":[214],"theoretical":[217],"discussions.":[218]},"counts_by_year":[{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":10},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":5},{"year":2021,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
