{"id":"https://openalex.org/W2036503395","doi":"https://doi.org/10.1109/cdc.2014.7039947","title":"Design of norm-optimal iterative learning controllers: The effect of an iteration-domain Kalman filter for disturbance estimation","display_name":"Design of norm-optimal iterative learning controllers: The effect of an iteration-domain Kalman filter for disturbance estimation","publication_year":2014,"publication_date":"2014-12-01","ids":{"openalex":"https://openalex.org/W2036503395","doi":"https://doi.org/10.1109/cdc.2014.7039947","mag":"2036503395"},"language":"en","primary_location":{"id":"doi:10.1109/cdc.2014.7039947","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cdc.2014.7039947","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"53rd IEEE Conference on Decision and Control","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/A5032927403","display_name":"Nicolas Degen","orcid":null},"institutions":[{"id":"https://openalex.org/I35440088","display_name":"ETH Zurich","ror":"https://ror.org/05a28rw58","country_code":"CH","type":"education","lineage":["https://openalex.org/I2799323385","https://openalex.org/I35440088"]}],"countries":["CH"],"is_corresponding":true,"raw_author_name":"Nicolas Degen","raw_affiliation_strings":["Autonomous Systems Lab, ETH Zurich, Switzerland","Autonomous Systems Lab, ETH Z\u00fcrich, Switzerland#TAB#"],"affiliations":[{"raw_affiliation_string":"Autonomous Systems Lab, ETH Zurich, Switzerland","institution_ids":["https://openalex.org/I35440088"]},{"raw_affiliation_string":"Autonomous Systems Lab, ETH Z\u00fcrich, Switzerland#TAB#","institution_ids":["https://openalex.org/I35440088"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5052147335","display_name":"Angela P. Schoellig","orcid":"https://orcid.org/0000-0003-4012-4668"},"institutions":[{"id":"https://openalex.org/I3143791293","display_name":"Institute for Christian Studies","ror":"https://ror.org/054dn2d35","country_code":"CA","type":"education","lineage":["https://openalex.org/I3143791293"]},{"id":"https://openalex.org/I185261750","display_name":"University of Toronto","ror":"https://ror.org/03dbr7087","country_code":"CA","type":"education","lineage":["https://openalex.org/I185261750"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Angela P. Schoellig","raw_affiliation_strings":["University of Toronto Institute for Aerospace Studies, Canada","Univ. of Toronto Institute for Aerospace Studies (Canada)"],"affiliations":[{"raw_affiliation_string":"University of Toronto Institute for Aerospace Studies, Canada","institution_ids":["https://openalex.org/I3143791293","https://openalex.org/I185261750"]},{"raw_affiliation_string":"Univ. of Toronto Institute for Aerospace Studies (Canada)","institution_ids":["https://openalex.org/I3143791293","https://openalex.org/I185261750"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5032927403"],"corresponding_institution_ids":["https://openalex.org/I35440088"],"apc_list":null,"apc_paid":null,"fwci":0.8115,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.77550824,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"3590","last_page":"3596"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11749","display_name":"Iterative Learning Control Systems","score":1.0,"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":1.0,"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/T10188","display_name":"Advanced machining processes and optimization","score":0.973800003528595,"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/T11525","display_name":"Piezoelectric Actuators and Control","score":0.9584000110626221,"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/iterative-learning-control","display_name":"Iterative learning control","score":0.8042166233062744},{"id":"https://openalex.org/keywords/kalman-filter","display_name":"Kalman filter","score":0.7308006882667542},{"id":"https://openalex.org/keywords/control-theory","display_name":"Control theory (sociology)","score":0.6271387338638306},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5919195413589478},{"id":"https://openalex.org/keywords/convergence","display_name":"Convergence (economics)","score":0.5271353721618652},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.45133525133132935},{"id":"https://openalex.org/keywords/norm","display_name":"Norm (philosophy)","score":0.42093291878700256},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.41650691628456116},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3833824694156647},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.17772597074508667},{"id":"https://openalex.org/keywords/control","display_name":"Control (management)","score":0.10040166974067688},{"id":"https://openalex.org/keywords/law","display_name":"Law","score":0.09573420882225037}],"concepts":[{"id":"https://openalex.org/C117619785","wikidata":"https://www.wikidata.org/wiki/Q6094414","display_name":"Iterative learning control","level":3,"score":0.8042166233062744},{"id":"https://openalex.org/C157286648","wikidata":"https://www.wikidata.org/wiki/Q846780","display_name":"Kalman filter","level":2,"score":0.7308006882667542},{"id":"https://openalex.org/C47446073","wikidata":"https://www.wikidata.org/wiki/Q5165890","display_name":"Control theory (sociology)","level":3,"score":0.6271387338638306},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5919195413589478},{"id":"https://openalex.org/C2777303404","wikidata":"https://www.wikidata.org/wiki/Q759757","display_name":"Convergence (economics)","level":2,"score":0.5271353721618652},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.45133525133132935},{"id":"https://openalex.org/C191795146","wikidata":"https://www.wikidata.org/wiki/Q3878446","display_name":"Norm (philosophy)","level":2,"score":0.42093291878700256},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.41650691628456116},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3833824694156647},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.17772597074508667},{"id":"https://openalex.org/C2775924081","wikidata":"https://www.wikidata.org/wiki/Q55608371","display_name":"Control (management)","level":2,"score":0.10040166974067688},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.09573420882225037},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0},{"id":"https://openalex.org/C50522688","wikidata":"https://www.wikidata.org/wiki/Q189833","display_name":"Economic growth","level":1,"score":0.0},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/cdc.2014.7039947","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cdc.2014.7039947","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"53rd IEEE Conference on Decision and Control","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.699999988079071,"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":22,"referenced_works":["https://openalex.org/W1522842874","https://openalex.org/W1571475002","https://openalex.org/W1595400991","https://openalex.org/W1651676304","https://openalex.org/W2000803795","https://openalex.org/W2023284387","https://openalex.org/W2024756373","https://openalex.org/W2025198294","https://openalex.org/W2040363089","https://openalex.org/W2041242313","https://openalex.org/W2052848225","https://openalex.org/W2063498039","https://openalex.org/W2091219706","https://openalex.org/W2097461867","https://openalex.org/W2103787878","https://openalex.org/W2105944614","https://openalex.org/W2129428998","https://openalex.org/W2130567095","https://openalex.org/W2131388401","https://openalex.org/W2145512699","https://openalex.org/W2155065031","https://openalex.org/W2159038290"],"related_works":["https://openalex.org/W2761624296","https://openalex.org/W4386994694","https://openalex.org/W4388738109","https://openalex.org/W2362901947","https://openalex.org/W2378211422","https://openalex.org/W2362086884","https://openalex.org/W1606071314","https://openalex.org/W2350210972","https://openalex.org/W2369126164","https://openalex.org/W1482785882"],"abstract_inverted_index":{"Iterative":[0],"learning":[1,80,113,144],"control":[2,17],"(ILC)":[3],"has":[4],"proven":[5],"to":[6,52,58,142],"be":[7],"an":[8,36,41,71,76,120,139],"effective":[9],"method":[10],"for":[11,70],"improving":[12],"the":[13,27,60,63,90,112,117,125,135,157],"performance":[14],"of":[15,48,62,79,119,128,134,163],"repetitive":[16],"tasks.":[18],"This":[19],"paper":[20,50],"revisits":[21],"two":[22],"optimization-based":[23],"ILC":[24,31,38],"algorithms:":[25],"(i)":[26],"widely":[28],"used":[29],"quadratic-criterion":[30],"law":[32,39],"(QILC)":[33],"and":[34,57,75,105,131,152],"(ii)":[35],"estimation-based":[37],"using":[40],"iteration-domain":[42],"Kalman":[43,97],"filter":[44],"(K-ILC).":[45],"The":[46],"goal":[47],"this":[49],"is":[51],"analytically":[53],"compare":[54],"both":[55,82,101,148],"algorithms":[56,83,158],"highlight":[59],"advantages":[61],"Kalman-filter-enhanced":[64],"algorithm.":[65],"We":[66,86,122],"first":[67],"show":[68,88],"that":[69,89,124,146],"iteration-constant":[72],"estimation":[73,130],"gain":[74],"appropriate":[77],"choice":[78],"parameters":[81],"are":[84],"identical.":[85],"then":[87],"estimation-enhanced":[91],"algorithm":[92,137],"with":[93],"its":[94],"iteration-varying":[95],"optimal":[96],"gains":[98],"can":[99],"achieve":[100,147],"fast":[102,153],"initial":[103],"convergence":[104],"good":[106],"noise":[107,150],"rejection":[108],"by":[109],"(optimally)":[110],"adapting":[111],"update":[114,133],"rule":[115],"over":[116],"course":[118],"experiment.":[121],"conclude":[123],"clear":[126],"separation":[127],"disturbance":[129],"input":[132],"K-ILC":[136],"provides":[138],"intuitive":[140],"architecture":[141],"design":[143],"schemes":[145],"low":[149],"sensitivity":[151],"convergence.":[154],"To":[155],"benchmark":[156],"we":[159],"use":[160],"a":[161,164],"simulation":[162],"single-input,":[165],"single-output":[166],"mass-spring-damper":[167],"system.":[168]},"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":1},{"year":2019,"cited_by_count":1},{"year":2017,"cited_by_count":2}],"updated_date":"2026-01-13T01:12:25.745995","created_date":"2025-10-10T00:00:00"}
