{"id":"https://openalex.org/W2125105119","doi":"https://doi.org/10.1109/acc.2001.946124","title":"Output feedback neural network adaptive robust control of a class of SISO nonlinear systems","display_name":"Output feedback neural network adaptive robust control of a class of SISO nonlinear systems","publication_year":2001,"publication_date":"2001-01-01","ids":{"openalex":"https://openalex.org/W2125105119","doi":"https://doi.org/10.1109/acc.2001.946124","mag":"2125105119"},"language":"en","primary_location":{"id":"doi:10.1109/acc.2001.946124","is_oa":false,"landing_page_url":"https://doi.org/10.1109/acc.2001.946124","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2001 American Control Conference. (Cat. No.01CH37148)","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/A5074423738","display_name":"Jian Gong","orcid":"https://orcid.org/0000-0001-6609-4669"},"institutions":[{"id":"https://openalex.org/I219193219","display_name":"Purdue University West Lafayette","ror":"https://ror.org/02dqehb95","country_code":"US","type":"education","lineage":["https://openalex.org/I219193219"]},{"id":"https://openalex.org/I55769427","display_name":"Indiana University \u2013 Purdue University Indianapolis","ror":"https://ror.org/05gxnyn08","country_code":"US","type":"education","lineage":["https://openalex.org/I55769427","https://openalex.org/I592451"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"J.Q. Gong","raw_affiliation_strings":["School of Mechanical Engineering, Purdue University, Indianapolis, West Lafayette, IN, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Mechanical Engineering, Purdue University, Indianapolis, West Lafayette, IN, USA","institution_ids":["https://openalex.org/I219193219","https://openalex.org/I55769427"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100757931","display_name":"Bin Yao","orcid":"https://orcid.org/0000-0003-3142-4570"},"institutions":[{"id":"https://openalex.org/I219193219","display_name":"Purdue University West Lafayette","ror":"https://ror.org/02dqehb95","country_code":"US","type":"education","lineage":["https://openalex.org/I219193219"]},{"id":"https://openalex.org/I55769427","display_name":"Indiana University \u2013 Purdue University Indianapolis","ror":"https://ror.org/05gxnyn08","country_code":"US","type":"education","lineage":["https://openalex.org/I55769427","https://openalex.org/I592451"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Bin Yao","raw_affiliation_strings":["School of Mechanical Engineering, Purdue University, Indianapolis, West Lafayette, IN, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Mechanical Engineering, Purdue University, Indianapolis, West Lafayette, IN, USA","institution_ids":["https://openalex.org/I219193219","https://openalex.org/I55769427"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"2474","last_page":"2479 vol.3"},"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/T11749","display_name":"Iterative Learning Control Systems","score":0.9990000128746033,"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":0.9937999844551086,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/control-theory","display_name":"Control theory (sociology)","score":0.8699902296066284},{"id":"https://openalex.org/keywords/nonlinear-system","display_name":"Nonlinear system","score":0.7208163738250732},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.6998605728149414},{"id":"https://openalex.org/keywords/observer","display_name":"Observer (physics)","score":0.5524519681930542},{"id":"https://openalex.org/keywords/robust-control","display_name":"Robust control","score":0.5291566848754883},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4882824420928955},{"id":"https://openalex.org/keywords/adaptive-control","display_name":"Adaptive control","score":0.47390758991241455},{"id":"https://openalex.org/keywords/control-system","display_name":"Control system","score":0.4135398268699646},{"id":"https://openalex.org/keywords/nonlinear-control","display_name":"Nonlinear control","score":0.4100988209247589},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3687213063240051},{"id":"https://openalex.org/keywords/control","display_name":"Control (management)","score":0.26214784383773804},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.23338526487350464},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.1717107594013214}],"concepts":[{"id":"https://openalex.org/C47446073","wikidata":"https://www.wikidata.org/wiki/Q5165890","display_name":"Control theory (sociology)","level":3,"score":0.8699902296066284},{"id":"https://openalex.org/C158622935","wikidata":"https://www.wikidata.org/wiki/Q660848","display_name":"Nonlinear system","level":2,"score":0.7208163738250732},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.6998605728149414},{"id":"https://openalex.org/C2780704645","wikidata":"https://www.wikidata.org/wiki/Q9251458","display_name":"Observer (physics)","level":2,"score":0.5524519681930542},{"id":"https://openalex.org/C31531917","wikidata":"https://www.wikidata.org/wiki/Q915157","display_name":"Robust control","level":3,"score":0.5291566848754883},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4882824420928955},{"id":"https://openalex.org/C107464732","wikidata":"https://www.wikidata.org/wiki/Q235781","display_name":"Adaptive control","level":3,"score":0.47390758991241455},{"id":"https://openalex.org/C17500928","wikidata":"https://www.wikidata.org/wiki/Q959968","display_name":"Control system","level":2,"score":0.4135398268699646},{"id":"https://openalex.org/C91581856","wikidata":"https://www.wikidata.org/wiki/Q2707001","display_name":"Nonlinear control","level":3,"score":0.4100988209247589},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3687213063240051},{"id":"https://openalex.org/C2775924081","wikidata":"https://www.wikidata.org/wiki/Q55608371","display_name":"Control (management)","level":2,"score":0.26214784383773804},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.23338526487350464},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.1717107594013214},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","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}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/acc.2001.946124","is_oa":false,"landing_page_url":"https://doi.org/10.1109/acc.2001.946124","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2001 American Control Conference. (Cat. No.01CH37148)","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.75.3804","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.75.3804","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://widget.ecn.purdue.edu/~byao/Papers/ACC01_NNoutput.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":11,"referenced_works":["https://openalex.org/W1572326640","https://openalex.org/W1969705022","https://openalex.org/W2003223907","https://openalex.org/W2018869705","https://openalex.org/W2026972764","https://openalex.org/W2056772771","https://openalex.org/W2089614042","https://openalex.org/W2150535417","https://openalex.org/W2171310383","https://openalex.org/W6664896696","https://openalex.org/W6685510970"],"related_works":["https://openalex.org/W2108470770","https://openalex.org/W1512021029","https://openalex.org/W1972862722","https://openalex.org/W2281732014","https://openalex.org/W2063351494","https://openalex.org/W1562326332","https://openalex.org/W2319803529","https://openalex.org/W1550017747","https://openalex.org/W2152839317","https://openalex.org/W2913641967"],"abstract_inverted_index":{"Through":[0],"the":[1,8,48,64,72,81,125,131,145],"use":[2,73],"of":[3,34,74,135],"high-gain":[4],"observer":[5],"to":[6,23,55,93,143],"estimate":[7],"unmeasurable":[9],"system":[10,140],"states,":[11],"neural":[12,44],"networks":[13,45],"(NN)":[14],"and":[15,99,109],"adaptive":[16],"robust":[17,88],"control":[18,29,89,134],"(ARC)":[19],"method":[20],"are":[21,53,91,141],"integrated":[22],"design":[24],"performance":[25,108],"oriented":[26],"output":[27,105,120,132],"feedback":[28,133],"laws":[30,83],"for":[31,84,102],"a":[32,103,110,136],"class":[33],"single-input-single-output":[35],"(SISO)":[36],"nth-order":[37],"nonlinear":[38,61],"systems":[39],"in":[40,63,80,115,124],"normal":[41],"form.":[42],"Multi-layer":[43],"(MLNN)":[46],"with":[47,77],"estimated":[49],"states":[50],"as":[51],"inputs":[52],"used":[54],"approximate":[56],"all":[57],"unknown":[58],"but":[59],"repeatable":[60],"functions":[62],"system.":[65],"A":[66],"controlled":[67],"learning":[68],"is":[69,122],"achieved":[70,123],"through":[71],"discontinuous":[75],"projections":[76],"fictitious":[78],"bounds":[79],"tuning":[82],"NN":[85],"weights.":[86],"Certain":[87],"terms":[90],"constructed":[92],"effectively":[94],"attenuate":[95],"various":[96],"model":[97],"uncertainties":[98],"estimation":[100],"errors":[101],"guaranteed":[104,111],"tracking":[106,113,121],"transient":[107],"final":[112],"accuracy":[114],"general.":[116],"In":[117],"addition,":[118],"asymptotic":[119],"ideal":[126],"case.":[127],"Experimental":[128],"results":[129],"on":[130],"linear":[137],"motor":[138],"drive":[139],"obtained":[142],"illustrate":[144],"proposed":[146],"algorithm.":[147]},"counts_by_year":[],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
