{"id":"https://openalex.org/W2770683282","doi":"https://doi.org/10.1109/tnnls.2017.2766123","title":"Neuroadaptive Control With Given Performance Specifications for MIMO Strict-Feedback Systems Under Nonsmooth Actuation and Output Constraints","display_name":"Neuroadaptive Control With Given Performance Specifications for MIMO Strict-Feedback Systems Under Nonsmooth Actuation and Output Constraints","publication_year":2017,"publication_date":"2017-11-14","ids":{"openalex":"https://openalex.org/W2770683282","doi":"https://doi.org/10.1109/tnnls.2017.2766123","mag":"2770683282","pmid":"https://pubmed.ncbi.nlm.nih.gov/29990131"},"language":"en","primary_location":{"id":"doi:10.1109/tnnls.2017.2766123","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tnnls.2017.2766123","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/A5035337020","display_name":"Yongduan Song","orcid":"https://orcid.org/0000-0002-2167-1861"},"institutions":[{"id":"https://openalex.org/I158842170","display_name":"Chongqing University","ror":"https://ror.org/023rhb549","country_code":"CN","type":"education","lineage":["https://openalex.org/I158842170"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yongduan Song","raw_affiliation_strings":["Key Laboratory of Dependable Service Computing in Cyber Physical Society, Ministry of Education, School of Automation, Chongqing University, Chongqing, China"],"raw_orcid":"https://orcid.org/0000-0002-2167-1861","affiliations":[{"raw_affiliation_string":"Key Laboratory of Dependable Service Computing in Cyber Physical Society, Ministry of Education, School of Automation, Chongqing University, Chongqing, China","institution_ids":["https://openalex.org/I158842170"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5071869999","display_name":"Shuyan Zhou","orcid":"https://orcid.org/0000-0001-8815-5098"},"institutions":[{"id":"https://openalex.org/I158842170","display_name":"Chongqing University","ror":"https://ror.org/023rhb549","country_code":"CN","type":"education","lineage":["https://openalex.org/I158842170"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shuyan Zhou","raw_affiliation_strings":["Key Laboratory of Dependable Service Computing in Cyber Physical Society, Ministry of Education, School of Automation, Chongqing University, Chongqing, China"],"raw_orcid":"https://orcid.org/0000-0001-8815-5098","affiliations":[{"raw_affiliation_string":"Key Laboratory of Dependable Service Computing in Cyber Physical Society, Ministry of Education, School of Automation, Chongqing University, Chongqing, China","institution_ids":["https://openalex.org/I158842170"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I158842170"],"apc_list":null,"apc_paid":null,"fwci":1.7855,"has_fulltext":false,"cited_by_count":49,"citation_normalized_percentile":{"value":0.86195364,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":"29","issue":"9","first_page":"4414","last_page":"4425"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10040","display_name":"Adaptive Control of Nonlinear Systems","score":0.9998000264167786,"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":0.9998000264167786,"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":0.9995999932289124,"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/T11749","display_name":"Iterative Learning Control Systems","score":0.9921000003814697,"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/backstepping","display_name":"Backstepping","score":0.866585373878479},{"id":"https://openalex.org/keywords/control-theory","display_name":"Control theory (sociology)","score":0.8116713762283325},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5394516587257385},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5321335792541504},{"id":"https://openalex.org/keywords/lyapunov-function","display_name":"Lyapunov function","score":0.5135264992713928},{"id":"https://openalex.org/keywords/transformation","display_name":"Transformation (genetics)","score":0.5089561939239502},{"id":"https://openalex.org/keywords/mimo","display_name":"MIMO","score":0.504250168800354},{"id":"https://openalex.org/keywords/actuator","display_name":"Actuator","score":0.4897341728210449},{"id":"https://openalex.org/keywords/stability","display_name":"Stability (learning theory)","score":0.45394212007522583},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.43174049258232117},{"id":"https://openalex.org/keywords/adaptive-control","display_name":"Adaptive control","score":0.4230131506919861},{"id":"https://openalex.org/keywords/control-engineering","display_name":"Control engineering","score":0.3855014145374298},{"id":"https://openalex.org/keywords/control","display_name":"Control (management)","score":0.33500319719314575},{"id":"https://openalex.org/keywords/nonlinear-system","display_name":"Nonlinear system","score":0.255246102809906},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.20160698890686035},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.1658925712108612},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.09810659289360046}],"concepts":[{"id":"https://openalex.org/C72218879","wikidata":"https://www.wikidata.org/wiki/Q4839759","display_name":"Backstepping","level":4,"score":0.866585373878479},{"id":"https://openalex.org/C47446073","wikidata":"https://www.wikidata.org/wiki/Q5165890","display_name":"Control theory (sociology)","level":3,"score":0.8116713762283325},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5394516587257385},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5321335792541504},{"id":"https://openalex.org/C60640748","wikidata":"https://www.wikidata.org/wiki/Q2337858","display_name":"Lyapunov function","level":3,"score":0.5135264992713928},{"id":"https://openalex.org/C204241405","wikidata":"https://www.wikidata.org/wiki/Q461499","display_name":"Transformation (genetics)","level":3,"score":0.5089561939239502},{"id":"https://openalex.org/C207987634","wikidata":"https://www.wikidata.org/wiki/Q176862","display_name":"MIMO","level":3,"score":0.504250168800354},{"id":"https://openalex.org/C172707124","wikidata":"https://www.wikidata.org/wiki/Q423488","display_name":"Actuator","level":2,"score":0.4897341728210449},{"id":"https://openalex.org/C112972136","wikidata":"https://www.wikidata.org/wiki/Q7595718","display_name":"Stability (learning theory)","level":2,"score":0.45394212007522583},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.43174049258232117},{"id":"https://openalex.org/C107464732","wikidata":"https://www.wikidata.org/wiki/Q235781","display_name":"Adaptive control","level":3,"score":0.4230131506919861},{"id":"https://openalex.org/C133731056","wikidata":"https://www.wikidata.org/wiki/Q4917288","display_name":"Control engineering","level":1,"score":0.3855014145374298},{"id":"https://openalex.org/C2775924081","wikidata":"https://www.wikidata.org/wiki/Q55608371","display_name":"Control (management)","level":2,"score":0.33500319719314575},{"id":"https://openalex.org/C158622935","wikidata":"https://www.wikidata.org/wiki/Q660848","display_name":"Nonlinear system","level":2,"score":0.255246102809906},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.20160698890686035},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.1658925712108612},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.09810659289360046},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"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/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","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/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.0},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tnnls.2017.2766123","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tnnls.2017.2766123","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:29990131","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/29990131","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":[],"awards":[{"id":"https://openalex.org/G6487918314","display_name":null,"funder_award_id":"61773081","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":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":45,"referenced_works":["https://openalex.org/W1047271620","https://openalex.org/W1572326640","https://openalex.org/W1666238337","https://openalex.org/W1755613887","https://openalex.org/W1968908471","https://openalex.org/W1969959431","https://openalex.org/W2003163199","https://openalex.org/W2006827383","https://openalex.org/W2012596465","https://openalex.org/W2026892237","https://openalex.org/W2031437707","https://openalex.org/W2034743631","https://openalex.org/W2035250412","https://openalex.org/W2041069066","https://openalex.org/W2049933349","https://openalex.org/W2062373349","https://openalex.org/W2065905935","https://openalex.org/W2071248810","https://openalex.org/W2072639421","https://openalex.org/W2080476832","https://openalex.org/W2085227532","https://openalex.org/W2093096595","https://openalex.org/W2096862291","https://openalex.org/W2101503267","https://openalex.org/W2106557935","https://openalex.org/W2109151516","https://openalex.org/W2113442785","https://openalex.org/W2114847465","https://openalex.org/W2121570671","https://openalex.org/W2136101957","https://openalex.org/W2142129363","https://openalex.org/W2142572589","https://openalex.org/W2149603687","https://openalex.org/W2150535417","https://openalex.org/W2160612266","https://openalex.org/W2162630692","https://openalex.org/W2193245008","https://openalex.org/W2221988771","https://openalex.org/W2248722974","https://openalex.org/W2306204307","https://openalex.org/W2440378830","https://openalex.org/W2508512712","https://openalex.org/W2744608379","https://openalex.org/W3104471247","https://openalex.org/W6671687550"],"related_works":["https://openalex.org/W2771027241","https://openalex.org/W1765905465","https://openalex.org/W2793080664","https://openalex.org/W2186140227","https://openalex.org/W2534185822","https://openalex.org/W2132535444","https://openalex.org/W1847613412","https://openalex.org/W4382203996","https://openalex.org/W1934622834","https://openalex.org/W2015036175"],"abstract_inverted_index":{"This":[0],"paper":[1],"studies":[2],"the":[3,67,78,87,99,110,114,128,143,160],"prescribed":[4],"performance":[5],"tracking":[6,54],"control":[7,44,95,116,123,149,162],"problem":[8],"for":[9],"a":[10,33,41,104,138,148],"class":[11],"of":[12,66,71,77,130,159],"multi-input":[13],"multi-output":[14],"strict-feedback":[15],"systems":[16],"with":[17,37,86,151],"asymmetric":[18],"nonsmooth":[19],"actuator":[20],"characteristics":[21],"and":[22,92,97,119,154,170],"output":[23],"constraints":[24],"as":[25,27],"well":[26],"unexpected":[28],"external":[29],"disturbances.":[30],"By":[31],"combining":[32],"novel":[34],"speed":[35],"transformation":[36],"barrier":[38],"Lyapunov":[39],"function,":[40],"neural":[42,82],"adaptive":[43],"scheme":[45,150],"is":[46,49,164],"developed":[47],"that":[48],"able":[50],"to":[51,84,108,126,132,141],"achieve":[52],"given":[53],"precision":[55],"within":[56],"preassigned":[57],"finite":[58],"time":[59],"at":[60],"prespecified":[61],"converging":[62],"mode.":[63],"At":[64],"each":[65],"first":[68],"$n-1$":[69],"steps":[70],"backstepping":[72],"design,":[73],"we":[74,102,136],"make":[75],"use":[76],"radial":[79],"basis":[80],"function":[81],"networks":[83],"cope":[85],"uncertainties":[88],"arising":[89],"from":[90],"unknown":[91,115],"time-varying":[93],"virtual":[94,139],"gains,":[96],"in":[98,147],"last":[100],"step,":[101],"introduce":[103,137],"matrix":[105,118],"factorization":[106],"technique":[107],"remove":[109],"restrictive":[111],"requirement":[112],"on":[113],"gain":[117],"its":[120],"NN-approximation,":[121],"simplifying":[122],"design.":[124],"Furthermore,":[125],"reduce":[127],"number":[129],"parameters":[131],"be":[133],"online":[134],"updated,":[135],"parameter":[140],"handle":[142],"lumped":[144],"uncertainties,":[145],"resulting":[146],"low":[152],"complexity":[153],"inexpensive":[155],"computations.":[156],"The":[157],"effectiveness":[158],"proposed":[161],"strategy":[163],"validated":[165],"by":[166],"systematic":[167],"stability":[168],"analysis":[169],"numerical":[171],"simulation.":[172]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":7},{"year":2024,"cited_by_count":6},{"year":2023,"cited_by_count":5},{"year":2022,"cited_by_count":11},{"year":2021,"cited_by_count":10},{"year":2020,"cited_by_count":3},{"year":2019,"cited_by_count":5},{"year":2018,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}