{"id":"https://openalex.org/W3090536185","doi":"https://doi.org/10.1109/ccta41146.2020.9206259","title":"Self-Tuning of Individual Control Components for Systems with Parameter Uncertainties and Disturbances","display_name":"Self-Tuning of Individual Control Components for Systems with Parameter Uncertainties and Disturbances","publication_year":2020,"publication_date":"2020-08-01","ids":{"openalex":"https://openalex.org/W3090536185","doi":"https://doi.org/10.1109/ccta41146.2020.9206259","mag":"3090536185"},"language":"en","primary_location":{"id":"doi:10.1109/ccta41146.2020.9206259","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ccta41146.2020.9206259","pdf_url":null,"source":{"id":"https://openalex.org/S4306498667","display_name":"2020 IEEE Conference on Control Technology and Applications (CCTA)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE Conference on Control Technology and Applications (CCTA)","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/A5041335855","display_name":"Alexander Wache","orcid":null},"institutions":[{"id":"https://openalex.org/I4665924","display_name":"University of Rostock","ror":"https://ror.org/03zdwsf69","country_code":"DE","type":"education","lineage":["https://openalex.org/I4665924"]}],"countries":["DE"],"is_corresponding":true,"raw_author_name":"Alexander Wache","raw_affiliation_strings":["Chair of Mechatronics, Faculty of Mechanical Engineering and Marine Technology, University of Rostock, Germany"],"affiliations":[{"raw_affiliation_string":"Chair of Mechatronics, Faculty of Mechanical Engineering and Marine Technology, University of Rostock, Germany","institution_ids":["https://openalex.org/I4665924"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5061788743","display_name":"Harald Aschemann","orcid":"https://orcid.org/0000-0001-7789-5699"},"institutions":[{"id":"https://openalex.org/I4665924","display_name":"University of Rostock","ror":"https://ror.org/03zdwsf69","country_code":"DE","type":"education","lineage":["https://openalex.org/I4665924"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Harald Aschemann","raw_affiliation_strings":["Chair of Mechatronics, Faculty of Mechanical Engineering and Marine Technology, University of Rostock, Germany"],"affiliations":[{"raw_affiliation_string":"Chair of Mechatronics, Faculty of Mechanical Engineering and Marine Technology, University of Rostock, Germany","institution_ids":["https://openalex.org/I4665924"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5041335855"],"corresponding_institution_ids":["https://openalex.org/I4665924"],"apc_list":null,"apc_paid":null,"fwci":0.5167,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.52874494,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":93},"biblio":{"volume":null,"issue":null,"first_page":"120","last_page":"125"},"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/T10791","display_name":"Advanced Control Systems Optimization","score":0.9987000226974487,"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":0.9972000122070312,"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":0.786349892616272},{"id":"https://openalex.org/keywords/feed-forward","display_name":"Feed forward","score":0.7588812708854675},{"id":"https://openalex.org/keywords/parametrization","display_name":"Parametrization (atmospheric modeling)","score":0.684867799282074},{"id":"https://openalex.org/keywords/stability","display_name":"Stability (learning theory)","score":0.5771772265434265},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5721175074577332},{"id":"https://openalex.org/keywords/control-system","display_name":"Control system","score":0.503497302532196},{"id":"https://openalex.org/keywords/observer","display_name":"Observer (physics)","score":0.48090100288391113},{"id":"https://openalex.org/keywords/optimal-control","display_name":"Optimal control","score":0.44906890392303467},{"id":"https://openalex.org/keywords/motion-control","display_name":"Motion control","score":0.4357202649116516},{"id":"https://openalex.org/keywords/tracking","display_name":"Tracking (education)","score":0.43545791506767273},{"id":"https://openalex.org/keywords/control","display_name":"Control (management)","score":0.40287771821022034},{"id":"https://openalex.org/keywords/control-engineering","display_name":"Control engineering","score":0.34074652194976807},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.19224002957344055},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.16161930561065674},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.1580093502998352},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.148531973361969},{"id":"https://openalex.org/keywords/robot","display_name":"Robot","score":0.1404150426387787}],"concepts":[{"id":"https://openalex.org/C47446073","wikidata":"https://www.wikidata.org/wiki/Q5165890","display_name":"Control theory (sociology)","level":3,"score":0.786349892616272},{"id":"https://openalex.org/C38858127","wikidata":"https://www.wikidata.org/wiki/Q5441228","display_name":"Feed forward","level":2,"score":0.7588812708854675},{"id":"https://openalex.org/C202887219","wikidata":"https://www.wikidata.org/wiki/Q3895221","display_name":"Parametrization (atmospheric modeling)","level":3,"score":0.684867799282074},{"id":"https://openalex.org/C112972136","wikidata":"https://www.wikidata.org/wiki/Q7595718","display_name":"Stability (learning theory)","level":2,"score":0.5771772265434265},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5721175074577332},{"id":"https://openalex.org/C17500928","wikidata":"https://www.wikidata.org/wiki/Q959968","display_name":"Control system","level":2,"score":0.503497302532196},{"id":"https://openalex.org/C2780704645","wikidata":"https://www.wikidata.org/wiki/Q9251458","display_name":"Observer (physics)","level":2,"score":0.48090100288391113},{"id":"https://openalex.org/C91575142","wikidata":"https://www.wikidata.org/wiki/Q1971426","display_name":"Optimal control","level":2,"score":0.44906890392303467},{"id":"https://openalex.org/C145565327","wikidata":"https://www.wikidata.org/wiki/Q852514","display_name":"Motion control","level":3,"score":0.4357202649116516},{"id":"https://openalex.org/C2775936607","wikidata":"https://www.wikidata.org/wiki/Q466845","display_name":"Tracking (education)","level":2,"score":0.43545791506767273},{"id":"https://openalex.org/C2775924081","wikidata":"https://www.wikidata.org/wiki/Q55608371","display_name":"Control (management)","level":2,"score":0.40287771821022034},{"id":"https://openalex.org/C133731056","wikidata":"https://www.wikidata.org/wiki/Q4917288","display_name":"Control engineering","level":1,"score":0.34074652194976807},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.19224002957344055},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.16161930561065674},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.1580093502998352},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.148531973361969},{"id":"https://openalex.org/C90509273","wikidata":"https://www.wikidata.org/wiki/Q11012","display_name":"Robot","level":2,"score":0.1404150426387787},{"id":"https://openalex.org/C74902906","wikidata":"https://www.wikidata.org/wiki/Q1190858","display_name":"Radiative transfer","level":2,"score":0.0},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"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/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","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/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.0},{"id":"https://openalex.org/C19417346","wikidata":"https://www.wikidata.org/wiki/Q7922","display_name":"Pedagogy","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ccta41146.2020.9206259","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ccta41146.2020.9206259","pdf_url":null,"source":{"id":"https://openalex.org/S4306498667","display_name":"2020 IEEE Conference on Control Technology and Applications (CCTA)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE Conference on Control Technology and Applications (CCTA)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":23,"referenced_works":["https://openalex.org/W262393575","https://openalex.org/W1980516134","https://openalex.org/W2012758201","https://openalex.org/W2024991751","https://openalex.org/W2032546725","https://openalex.org/W2036544708","https://openalex.org/W2038436774","https://openalex.org/W2085804838","https://openalex.org/W2091735588","https://openalex.org/W2092272609","https://openalex.org/W2105934661","https://openalex.org/W2161296969","https://openalex.org/W2171074980","https://openalex.org/W2672925585","https://openalex.org/W2732813768","https://openalex.org/W2887053799","https://openalex.org/W2979268364","https://openalex.org/W2979350036","https://openalex.org/W2980070341","https://openalex.org/W4362192038","https://openalex.org/W6653780080","https://openalex.org/W6666877243","https://openalex.org/W6768850549"],"related_works":["https://openalex.org/W2153421756","https://openalex.org/W2054489697","https://openalex.org/W2077818434","https://openalex.org/W2361081803","https://openalex.org/W2286391053","https://openalex.org/W2036241269","https://openalex.org/W2109057766","https://openalex.org/W2057244293","https://openalex.org/W1589486833","https://openalex.org/W2116883285"],"abstract_inverted_index":{"In":[0],"this":[1],"paper,":[2],"a":[3,10,28,32,87],"self-tuning":[4,112],"algorithm":[5,40,94,113],"for":[6,23,44],"the":[7,51,68,125,129,134,142,153,158],"parametrization":[8,102],"of":[9,27,67,97,127,157],"complete":[11],"feedback":[12,80],"control":[13,63,74,83,101,131],"structure":[14,75],"or":[15],"individual":[16,130],"components":[17,132],"is":[18,41,76,95,114,137],"presented.":[19],"This":[20],"approach":[21],"allows":[22],"automatic":[24],"performance":[25],"optimization":[26],"motion":[29],"task":[30],"w.r.t.":[31,133],"chosen":[33],"evaluation":[34],"cost":[35],"function":[36],"(ECF).":[37],"The":[38,92,111],"proposed":[39,93],"designed":[42,77],"especially":[43],"systems":[45],"with":[46],"only":[47],"approximate":[48],"knowledge":[49,66],"about":[50],"system":[52,70],"parameters":[53],"that":[54,78],"are,":[55],"moreover,":[56],"affected":[57],"by":[58],"external":[59],"disturbances.":[60],"Using":[61],"optimal":[62,100],"techniques":[64],"and":[65,81,89,107,124,155],"nominal":[69],"only,":[71],"an":[72,99,117],"initial":[73],"involves":[79],"feedforward":[82],"as":[84,86],"well":[85],"state":[88],"disturbance":[90],"observer.":[91],"capable":[96],"determining":[98],"-":[103,151],"ensuring":[104],"closed-loop":[105],"stability":[106],"close-to-optimal":[108],"tracking":[109,135],"behavior.":[110],"applied":[115],"to":[116],"elastic":[118],"machine":[119],"tool":[120],"axis":[121],"in":[122,139],"simulations":[123],"potential":[126],"tuning":[128],"accuracy":[136],"investigated":[138],"detail.":[140],"Finally,":[141],"obtained":[143],"simulation":[144],"results":[145],"are":[146],"compared":[147],"against":[148],"each":[149],"other":[150],"showing":[152],"efficiency":[154],"benefits":[156],"overall":[159],"approach.":[160]},"counts_by_year":[{"year":2021,"cited_by_count":1}],"updated_date":"2025-11-25T21:42:39.735039","created_date":"2025-10-10T00:00:00"}