{"id":"https://openalex.org/W2084982180","doi":"https://doi.org/10.1109/fuzz-ieee.2014.6891637","title":"Model reference adaptive iterative learning control for nonlinear systems using observer design","display_name":"Model reference adaptive iterative learning control for nonlinear systems using observer design","publication_year":2014,"publication_date":"2014-07-01","ids":{"openalex":"https://openalex.org/W2084982180","doi":"https://doi.org/10.1109/fuzz-ieee.2014.6891637","mag":"2084982180"},"language":"en","primary_location":{"id":"doi:10.1109/fuzz-ieee.2014.6891637","is_oa":false,"landing_page_url":"https://doi.org/10.1109/fuzz-ieee.2014.6891637","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE)","raw_type":"proceedings-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/A5077807200","display_name":"Ying\u2010Chung Wang","orcid":null},"institutions":[{"id":"https://openalex.org/I202968851","display_name":"Huafan University","ror":"https://ror.org/02x5hb316","country_code":"TW","type":"education","lineage":["https://openalex.org/I202968851"]}],"countries":["TW"],"is_corresponding":true,"raw_author_name":"Ying-Chung Wang","raw_affiliation_strings":["Department of Electronic Engineering, Huafan University, New Taipei City, Taiwan","[Department of Electronic Engineering, Huafan University, New Taipei City, Taiwan]"],"affiliations":[{"raw_affiliation_string":"Department of Electronic Engineering, Huafan University, New Taipei City, Taiwan","institution_ids":["https://openalex.org/I202968851"]},{"raw_affiliation_string":"[Department of Electronic Engineering, Huafan University, New Taipei City, Taiwan]","institution_ids":["https://openalex.org/I202968851"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5065306431","display_name":"Chiang\u2010Ju Chien","orcid":"https://orcid.org/0000-0001-8672-0014"},"institutions":[{"id":"https://openalex.org/I202968851","display_name":"Huafan University","ror":"https://ror.org/02x5hb316","country_code":"TW","type":"education","lineage":["https://openalex.org/I202968851"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Chiang-Ju Chien","raw_affiliation_strings":["Department of Electronic Engineering, Huafan University, New Taipei City, Taiwan","[Department of Electronic Engineering, Huafan University, New Taipei City, Taiwan]"],"affiliations":[{"raw_affiliation_string":"Department of Electronic Engineering, Huafan University, New Taipei City, Taiwan","institution_ids":["https://openalex.org/I202968851"]},{"raw_affiliation_string":"[Department of Electronic Engineering, Huafan University, New Taipei City, Taiwan]","institution_ids":["https://openalex.org/I202968851"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5075510768","display_name":"I\u2010Hong Jhuo","orcid":null},"institutions":[{"id":"https://openalex.org/I84653119","display_name":"Academia Sinica","ror":"https://ror.org/05bxb3784","country_code":"TW","type":"facility","lineage":["https://openalex.org/I84653119"]},{"id":"https://openalex.org/I4210098366","display_name":"Institute of Information Science, Academia Sinica","ror":"https://ror.org/00z83z196","country_code":"TW","type":"facility","lineage":["https://openalex.org/I4210098366","https://openalex.org/I84653119"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"I-Hong Jhuo","raw_affiliation_strings":["Institute of Information Science, Academia Sinica, Taipei, Taiwan","Institute of Information Science,Academia Sinica,,Taipei,,Taiwan"],"affiliations":[{"raw_affiliation_string":"Institute of Information Science, Academia Sinica, Taipei, Taiwan","institution_ids":["https://openalex.org/I4210098366"]},{"raw_affiliation_string":"Institute of Information Science,Academia Sinica,,Taipei,,Taiwan","institution_ids":["https://openalex.org/I84653119"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5077807200"],"corresponding_institution_ids":["https://openalex.org/I202968851"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.16647194,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11749","display_name":"Iterative Learning Control Systems","score":0.9998999834060669,"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/T11749","display_name":"Iterative Learning Control Systems","score":0.9998999834060669,"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/T13644","display_name":"Control Systems in Engineering","score":0.9223999977111816,"subfield":{"id":"https://openalex.org/subfields/2210","display_name":"Mechanical 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/T10188","display_name":"Advanced machining processes and optimization","score":0.917900025844574,"subfield":{"id":"https://openalex.org/subfields/2210","display_name":"Mechanical 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/control-theory","display_name":"Control theory (sociology)","score":0.7954949140548706},{"id":"https://openalex.org/keywords/iterative-learning-control","display_name":"Iterative learning control","score":0.6194851994514465},{"id":"https://openalex.org/keywords/nonlinear-system","display_name":"Nonlinear system","score":0.49855470657348633},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.48300230503082275},{"id":"https://openalex.org/keywords/residual","display_name":"Residual","score":0.4644612669944763},{"id":"https://openalex.org/keywords/lyapunov-function","display_name":"Lyapunov function","score":0.4635241627693176},{"id":"https://openalex.org/keywords/tracking-error","display_name":"Tracking error","score":0.45012402534484863},{"id":"https://openalex.org/keywords/observer","display_name":"Observer (physics)","score":0.4496572017669678},{"id":"https://openalex.org/keywords/normalization","display_name":"Normalization (sociology)","score":0.44337892532348633},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.4304681122303009},{"id":"https://openalex.org/keywords/state-vector","display_name":"State vector","score":0.42560359835624695},{"id":"https://openalex.org/keywords/adaptive-control","display_name":"Adaptive control","score":0.4157397150993347},{"id":"https://openalex.org/keywords/bounded-function","display_name":"Bounded function","score":0.41395020484924316},{"id":"https://openalex.org/keywords/transfer-function","display_name":"Transfer function","score":0.41234204173088074},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.24716082215309143},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.17208170890808105},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.08611539006233215}],"concepts":[{"id":"https://openalex.org/C47446073","wikidata":"https://www.wikidata.org/wiki/Q5165890","display_name":"Control theory (sociology)","level":3,"score":0.7954949140548706},{"id":"https://openalex.org/C117619785","wikidata":"https://www.wikidata.org/wiki/Q6094414","display_name":"Iterative learning control","level":3,"score":0.6194851994514465},{"id":"https://openalex.org/C158622935","wikidata":"https://www.wikidata.org/wiki/Q660848","display_name":"Nonlinear system","level":2,"score":0.49855470657348633},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.48300230503082275},{"id":"https://openalex.org/C155512373","wikidata":"https://www.wikidata.org/wiki/Q287450","display_name":"Residual","level":2,"score":0.4644612669944763},{"id":"https://openalex.org/C60640748","wikidata":"https://www.wikidata.org/wiki/Q2337858","display_name":"Lyapunov function","level":3,"score":0.4635241627693176},{"id":"https://openalex.org/C183356978","wikidata":"https://www.wikidata.org/wiki/Q1779213","display_name":"Tracking error","level":3,"score":0.45012402534484863},{"id":"https://openalex.org/C2780704645","wikidata":"https://www.wikidata.org/wiki/Q9251458","display_name":"Observer (physics)","level":2,"score":0.4496572017669678},{"id":"https://openalex.org/C136886441","wikidata":"https://www.wikidata.org/wiki/Q926129","display_name":"Normalization (sociology)","level":2,"score":0.44337892532348633},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.4304681122303009},{"id":"https://openalex.org/C2777798563","wikidata":"https://www.wikidata.org/wiki/Q7603916","display_name":"State vector","level":2,"score":0.42560359835624695},{"id":"https://openalex.org/C107464732","wikidata":"https://www.wikidata.org/wiki/Q235781","display_name":"Adaptive control","level":3,"score":0.4157397150993347},{"id":"https://openalex.org/C34388435","wikidata":"https://www.wikidata.org/wiki/Q2267362","display_name":"Bounded function","level":2,"score":0.41395020484924316},{"id":"https://openalex.org/C81299745","wikidata":"https://www.wikidata.org/wiki/Q334269","display_name":"Transfer function","level":2,"score":0.41234204173088074},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.24716082215309143},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.17208170890808105},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.08611539006233215},{"id":"https://openalex.org/C2775924081","wikidata":"https://www.wikidata.org/wiki/Q55608371","display_name":"Control (management)","level":2,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"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/C74650414","wikidata":"https://www.wikidata.org/wiki/Q11397","display_name":"Classical mechanics","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/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0},{"id":"https://openalex.org/C19165224","wikidata":"https://www.wikidata.org/wiki/Q23404","display_name":"Anthropology","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/fuzz-ieee.2014.6891637","is_oa":false,"landing_page_url":"https://doi.org/10.1109/fuzz-ieee.2014.6891637","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320321040","display_name":"National Science Council","ror":"https://ror.org/02kv4zf79"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":22,"referenced_works":["https://openalex.org/W1572161815","https://openalex.org/W1985023555","https://openalex.org/W1987410779","https://openalex.org/W2041242313","https://openalex.org/W2050279275","https://openalex.org/W2054950031","https://openalex.org/W2067603665","https://openalex.org/W2097487411","https://openalex.org/W2099898151","https://openalex.org/W2117233142","https://openalex.org/W2121478409","https://openalex.org/W2130290171","https://openalex.org/W2154440813","https://openalex.org/W2156174311","https://openalex.org/W2159038290","https://openalex.org/W2161855961","https://openalex.org/W2163795330","https://openalex.org/W2180051414","https://openalex.org/W2184683021","https://openalex.org/W4237298758","https://openalex.org/W6678241861","https://openalex.org/W6686231175"],"related_works":["https://openalex.org/W2379960361","https://openalex.org/W2133373519","https://openalex.org/W2478562663","https://openalex.org/W2104608934","https://openalex.org/W1498036222","https://openalex.org/W2465904370","https://openalex.org/W2107729799","https://openalex.org/W4210894462","https://openalex.org/W1972930307","https://openalex.org/W2365680665"],"abstract_inverted_index":{"In":[0,164],"this":[1],"paper,":[2],"we":[3,108,131,213],"propose":[4],"an":[5,115],"observer":[6,51,65],"based":[7],"model":[8,16,80],"reference":[9,17,34],"adaptive":[10,18],"iterative":[11],"learning":[12,196],"control":[13,19],"(MRAILC)":[14],"using":[15,137,145],"strategy":[20],"for":[21,54,157,189,227],"more":[22],"general":[23],"class":[24],"of":[25,159,204,233],"uncertain":[26,85],"nonlinear":[27],"systems":[28],"with":[29,172],"non-canonical":[30],"form":[31],"and":[32,66,70,87,114,176,230],"iteration-varying":[33],"trajectories.":[35],"Due":[36],"to":[37,44,93,118,125,166,200,240],"the":[38,61,95,101,120,134,146,152,160,168,202,217,231],"system":[39,102,147],"state":[40,48,55,62,148,177],"vector":[41,150,154],"is":[42,52,91,155,183,198],"assumed":[43],"be":[45],"unmeasurable,":[46],"a":[47,67,73,126,180,186,191,209,241],"tracking":[49,56,63,235],"error":[50,57,64,79,124,175,236],"applied":[53,156,184],"estimation.":[58],"Based":[59,207],"on":[60,208],"mixed":[68],"time-domain":[69],"s-domain":[71],"technique,":[72],"relative":[74,96],"degree":[75,97],"one":[76],"output":[77,122,234],"observation":[78,123],"whose":[81],"inputs":[82],"are":[83,104],"some":[84,111],"nonlinearities":[86],"filtered":[88,140],"signals":[89,113,224],"which":[90],"derived":[92],"solve":[94],"problem":[98],"caused":[99],"by":[100],"states":[103],"not":[105],"measurable.":[106],"Besides,":[107],"also":[109],"apply":[110],"auxiliary":[112],"averaging":[116],"filter":[117],"transfer":[119],"original":[121],"new":[127],"formulation":[128],"so":[129],"that":[130,215],"can":[132],"implement":[133],"AILC":[135],"without":[136],"differentiators.":[138],"The":[139,194],"fuzzy":[141],"neural":[142],"network":[143],"(filtered-FNN)":[144],"estimation":[149,178],"as":[151,185,220,222],"input":[153],"approximation":[158,174],"unknown":[161],"plant":[162],"nonlinearities.":[163],"order":[165],"overcome":[167],"lumped":[169],"uncertainties":[170],"associated":[171],"function":[173,188],"error,":[179],"normalization":[181],"signal":[182],"bounding":[187],"designing":[190],"robust":[192],"AILC.":[193],"stabilization":[195],"component":[197],"used":[199],"guarantee":[201],"boundedness":[203],"internal":[205,223],"signals.":[206],"Lyapunov":[210],"like":[211],"analysis,":[212],"show":[214],"all":[216,228],"adjustable":[218],"parameters":[219],"well":[221],"remain":[225],"bounded":[226],"iterations":[229],"norm":[232],"will":[237],"asymptotically":[238],"converge":[239],"tunable":[242],"residual":[243],"set.":[244]},"counts_by_year":[{"year":2023,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
