{"id":"https://openalex.org/W1597479877","doi":"https://doi.org/10.1109/cdc.2002.1184473","title":"Gain-scheduling control of systems with dynamic friction","display_name":"Gain-scheduling control of systems with dynamic friction","publication_year":2003,"publication_date":"2003-08-27","ids":{"openalex":"https://openalex.org/W1597479877","doi":"https://doi.org/10.1109/cdc.2002.1184473","mag":"1597479877"},"language":"en","primary_location":{"id":"doi:10.1109/cdc.2002.1184473","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cdc.2002.1184473","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 41st IEEE Conference on Decision and Control, 2002.","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/A5080506354","display_name":"Carlos Vivas","orcid":"https://orcid.org/0000-0002-3211-2731"},"institutions":[{"id":"https://openalex.org/I79238269","display_name":"Universidad de Sevilla","ror":"https://ror.org/03yxnpp24","country_code":"ES","type":"education","lineage":["https://openalex.org/I79238269"]}],"countries":["ES"],"is_corresponding":true,"raw_author_name":"C. Vivas","raw_affiliation_strings":["Department Ingenier\u00eda de Sistemas y Autom\u00e1tica, Universidad de Sevilla, Seville, Spain"],"affiliations":[{"raw_affiliation_string":"Department Ingenier\u00eda de Sistemas y Autom\u00e1tica, Universidad de Sevilla, Seville, Spain","institution_ids":["https://openalex.org/I79238269"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5066798477","display_name":"Francisco R. Rubio","orcid":"https://orcid.org/0000-0003-0494-6533"},"institutions":[{"id":"https://openalex.org/I79238269","display_name":"Universidad de Sevilla","ror":"https://ror.org/03yxnpp24","country_code":"ES","type":"education","lineage":["https://openalex.org/I79238269"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"F.R. Rubio","raw_affiliation_strings":["Department Ingenier\u00eda de Sistemas y Autom\u00e1tica, Universidad de Sevilla, Seville, Spain"],"affiliations":[{"raw_affiliation_string":"Department Ingenier\u00eda de Sistemas y Autom\u00e1tica, Universidad de Sevilla, Seville, Spain","institution_ids":["https://openalex.org/I79238269"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5024865861","display_name":"Carlos Canudas de Wit","orcid":"https://orcid.org/0000-0002-5056-0060"},"institutions":[{"id":"https://openalex.org/I1294671590","display_name":"Centre National de la Recherche Scientifique","ror":"https://ror.org/02feahw73","country_code":"FR","type":"funder","lineage":["https://openalex.org/I1294671590"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"C. Canudas-de-Wit","raw_affiliation_strings":["Laboratoire \u010f Automatique de Grenoble, UFL4 CNRS 228, ENSIEG-INPG, Grenoble, France"],"affiliations":[{"raw_affiliation_string":"Laboratoire \u010f Automatique de Grenoble, UFL4 CNRS 228, ENSIEG-INPG, Grenoble, France","institution_ids":["https://openalex.org/I1294671590"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5080506354"],"corresponding_institution_ids":["https://openalex.org/I79238269"],"apc_list":null,"apc_paid":null,"fwci":4.0468,"has_fulltext":false,"cited_by_count":15,"citation_normalized_percentile":{"value":0.92484933,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":95},"biblio":{"volume":"1","issue":null,"first_page":"89","last_page":"94"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11749","display_name":"Iterative Learning Control Systems","score":0.9994000196456909,"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":0.9994000196456909,"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":0.9988999962806702,"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/T10040","display_name":"Adaptive Control of Nonlinear Systems","score":0.996399998664856,"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/computer-science","display_name":"Computer science","score":0.6340608596801758},{"id":"https://openalex.org/keywords/gain-scheduling","display_name":"Gain scheduling","score":0.5748700499534607},{"id":"https://openalex.org/keywords/scheduling","display_name":"Scheduling (production processes)","score":0.4795631766319275},{"id":"https://openalex.org/keywords/dynamic-priority-scheduling","display_name":"Dynamic priority scheduling","score":0.46188870072364807},{"id":"https://openalex.org/keywords/control-system","display_name":"Control system","score":0.4312138855457306},{"id":"https://openalex.org/keywords/control","display_name":"Control (management)","score":0.3853475749492645},{"id":"https://openalex.org/keywords/control-theory","display_name":"Control theory (sociology)","score":0.33655762672424316},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.16144979000091553},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.15270450711250305},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.09414336085319519},{"id":"https://openalex.org/keywords/operations-management","display_name":"Operations management","score":0.08151111006736755},{"id":"https://openalex.org/keywords/quality-of-service","display_name":"Quality of service","score":0.05903986096382141}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6340608596801758},{"id":"https://openalex.org/C97090092","wikidata":"https://www.wikidata.org/wiki/Q764612","display_name":"Gain scheduling","level":3,"score":0.5748700499534607},{"id":"https://openalex.org/C206729178","wikidata":"https://www.wikidata.org/wiki/Q2271896","display_name":"Scheduling (production processes)","level":2,"score":0.4795631766319275},{"id":"https://openalex.org/C107568181","wikidata":"https://www.wikidata.org/wiki/Q5319000","display_name":"Dynamic priority scheduling","level":3,"score":0.46188870072364807},{"id":"https://openalex.org/C17500928","wikidata":"https://www.wikidata.org/wiki/Q959968","display_name":"Control system","level":2,"score":0.4312138855457306},{"id":"https://openalex.org/C2775924081","wikidata":"https://www.wikidata.org/wiki/Q55608371","display_name":"Control (management)","level":2,"score":0.3853475749492645},{"id":"https://openalex.org/C47446073","wikidata":"https://www.wikidata.org/wiki/Q5165890","display_name":"Control theory (sociology)","level":3,"score":0.33655762672424316},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.16144979000091553},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.15270450711250305},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.09414336085319519},{"id":"https://openalex.org/C21547014","wikidata":"https://www.wikidata.org/wiki/Q1423657","display_name":"Operations management","level":1,"score":0.08151111006736755},{"id":"https://openalex.org/C5119721","wikidata":"https://www.wikidata.org/wiki/Q220501","display_name":"Quality of service","level":2,"score":0.05903986096382141},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/cdc.2002.1184473","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cdc.2002.1184473","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 41st IEEE Conference on Decision and Control, 2002.","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":5,"referenced_works":["https://openalex.org/W1602498161","https://openalex.org/W2017432759","https://openalex.org/W2091881639","https://openalex.org/W2119063730","https://openalex.org/W2166271005"],"related_works":["https://openalex.org/W2371494008","https://openalex.org/W2331721255","https://openalex.org/W2148574262","https://openalex.org/W2333083806","https://openalex.org/W2380671226","https://openalex.org/W2713393793","https://openalex.org/W2355865573","https://openalex.org/W2155981143","https://openalex.org/W2155245395","https://openalex.org/W2275391976"],"abstract_inverted_index":{"This":[0],"paper":[1],"considers":[2],"the":[3,26,74,78],"problem":[4],"of":[5,8,29,32,77],"velocity":[6],"control":[7,48,65],"systems":[9],"subjected":[10],"to":[11,24],"dynamic":[12],"friction":[13],"using":[14],"a":[15,39,53],"gain-scheduling":[16,47,55,70],"approach.":[17],"A":[18],"simple":[19],"servo-positioning":[20],"system":[21,35,43],"is":[22,36,57,73,80],"used":[23],"illustrate":[25],"main":[27,75],"issues":[28],"this":[30],"kind":[31],"systems.":[33],"The":[34,83],"modelled":[37],"as":[38],"linear":[40,46,64],"parameter-varying":[41],"(LPV)":[42],"and":[44],"two":[45],"strategies":[49],"are":[50,89],"proposed.":[51],"First,":[52],"PI":[54],"controller":[56],"presented":[58],"comparing":[59],"its":[60],"performance":[61],"with":[62],"classical":[63],"techniques.":[66],"Then,":[67],"an":[68],"observer-based":[69],"controller,":[71],"which":[72],"contribution":[76],"paper,":[79],"also":[81],"analyzed.":[82],"improvement":[84],"achieved":[85],"for":[86],"these":[87],"techniques":[88],"shown":[90],"in":[91],"simulation":[92],"results.":[93]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2016,"cited_by_count":1},{"year":2014,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}