{"id":"https://openalex.org/W2735566119","doi":"https://doi.org/10.1109/ijcnn.2017.7966023","title":"FNN approximation-based adaptive control for suppressing chatter in nonlinear milling with piezo-actuators","display_name":"FNN approximation-based adaptive control for suppressing chatter in nonlinear milling with piezo-actuators","publication_year":2017,"publication_date":"2017-05-01","ids":{"openalex":"https://openalex.org/W2735566119","doi":"https://doi.org/10.1109/ijcnn.2017.7966023","mag":"2735566119"},"language":"en","primary_location":{"id":"doi:10.1109/ijcnn.2017.7966023","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn.2017.7966023","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 International Joint Conference on Neural Networks (IJCNN)","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/A5100610900","display_name":"Xiaoli Liu","orcid":"https://orcid.org/0000-0001-7479-4251"},"institutions":[{"id":"https://openalex.org/I90610280","display_name":"South China University of Technology","ror":"https://ror.org/0530pts50","country_code":"CN","type":"education","lineage":["https://openalex.org/I90610280"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaoli Liu","raw_affiliation_strings":["College of Automation and Engineering, South China University of Technology, Guangzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Automation and Engineering, South China University of Technology, Guangzhou, China","institution_ids":["https://openalex.org/I90610280"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5076212272","display_name":"Chun\u2010Yi Su","orcid":"https://orcid.org/0000-0002-1869-5563"},"institutions":[{"id":"https://openalex.org/I60158472","display_name":"Concordia University","ror":"https://ror.org/0420zvk78","country_code":"CA","type":"education","lineage":["https://openalex.org/I60158472"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Chun-Yi Su","raw_affiliation_strings":["Department of Mechanical and Industrial Engineering, Concordia University, Montr\u00e9al, QC, Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Mechanical and Industrial Engineering, Concordia University, Montr\u00e9al, QC, Canada","institution_ids":["https://openalex.org/I60158472"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1449","last_page":"1456"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10188","display_name":"Advanced machining processes and optimization","score":0.9998999834060669,"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"}},"topics":[{"id":"https://openalex.org/T10188","display_name":"Advanced machining processes and optimization","score":0.9998999834060669,"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/T11451","display_name":"Advanced Machining and Optimization Techniques","score":0.995199978351593,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic 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":0.993399977684021,"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/control-theory","display_name":"Control theory (sociology)","score":0.8800041079521179},{"id":"https://openalex.org/keywords/nonlinear-system","display_name":"Nonlinear system","score":0.6470462679862976},{"id":"https://openalex.org/keywords/hysteresis","display_name":"Hysteresis","score":0.6389555931091309},{"id":"https://openalex.org/keywords/actuator","display_name":"Actuator","score":0.6221165657043457},{"id":"https://openalex.org/keywords/controller","display_name":"Controller (irrigation)","score":0.5079625248908997},{"id":"https://openalex.org/keywords/lyapunov-function","display_name":"Lyapunov function","score":0.49125927686691284},{"id":"https://openalex.org/keywords/adaptive-control","display_name":"Adaptive control","score":0.4622497260570526},{"id":"https://openalex.org/keywords/fuzzy-control-system","display_name":"Fuzzy control system","score":0.4595791697502136},{"id":"https://openalex.org/keywords/stability","display_name":"Stability (learning theory)","score":0.45577195286750793},{"id":"https://openalex.org/keywords/fuzzy-logic","display_name":"Fuzzy logic","score":0.41764092445373535},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.38481077551841736},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3394315242767334},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.3390272557735443},{"id":"https://openalex.org/keywords/control-engineering","display_name":"Control engineering","score":0.33279114961624146},{"id":"https://openalex.org/keywords/control","display_name":"Control (management)","score":0.2445337176322937},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.09049677848815918},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.08157873153686523}],"concepts":[{"id":"https://openalex.org/C47446073","wikidata":"https://www.wikidata.org/wiki/Q5165890","display_name":"Control theory (sociology)","level":3,"score":0.8800041079521179},{"id":"https://openalex.org/C158622935","wikidata":"https://www.wikidata.org/wiki/Q660848","display_name":"Nonlinear system","level":2,"score":0.6470462679862976},{"id":"https://openalex.org/C123299182","wikidata":"https://www.wikidata.org/wiki/Q190837","display_name":"Hysteresis","level":2,"score":0.6389555931091309},{"id":"https://openalex.org/C172707124","wikidata":"https://www.wikidata.org/wiki/Q423488","display_name":"Actuator","level":2,"score":0.6221165657043457},{"id":"https://openalex.org/C203479927","wikidata":"https://www.wikidata.org/wiki/Q5165939","display_name":"Controller (irrigation)","level":2,"score":0.5079625248908997},{"id":"https://openalex.org/C60640748","wikidata":"https://www.wikidata.org/wiki/Q2337858","display_name":"Lyapunov function","level":3,"score":0.49125927686691284},{"id":"https://openalex.org/C107464732","wikidata":"https://www.wikidata.org/wiki/Q235781","display_name":"Adaptive control","level":3,"score":0.4622497260570526},{"id":"https://openalex.org/C195975749","wikidata":"https://www.wikidata.org/wiki/Q1475705","display_name":"Fuzzy control system","level":3,"score":0.4595791697502136},{"id":"https://openalex.org/C112972136","wikidata":"https://www.wikidata.org/wiki/Q7595718","display_name":"Stability (learning theory)","level":2,"score":0.45577195286750793},{"id":"https://openalex.org/C58166","wikidata":"https://www.wikidata.org/wiki/Q224821","display_name":"Fuzzy logic","level":2,"score":0.41764092445373535},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.38481077551841736},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3394315242767334},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.3390272557735443},{"id":"https://openalex.org/C133731056","wikidata":"https://www.wikidata.org/wiki/Q4917288","display_name":"Control engineering","level":1,"score":0.33279114961624146},{"id":"https://openalex.org/C2775924081","wikidata":"https://www.wikidata.org/wiki/Q55608371","display_name":"Control (management)","level":2,"score":0.2445337176322937},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.09049677848815918},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.08157873153686523},{"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/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C6557445","wikidata":"https://www.wikidata.org/wiki/Q173113","display_name":"Agronomy","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ijcnn.2017.7966023","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn.2017.7966023","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 International Joint Conference on Neural Networks (IJCNN)","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":30,"referenced_works":["https://openalex.org/W1034106906","https://openalex.org/W1523652211","https://openalex.org/W1966106940","https://openalex.org/W1971471299","https://openalex.org/W1978941551","https://openalex.org/W1984277884","https://openalex.org/W2015633379","https://openalex.org/W2018829544","https://openalex.org/W2034332295","https://openalex.org/W2041069066","https://openalex.org/W2050085497","https://openalex.org/W2055480668","https://openalex.org/W2071408423","https://openalex.org/W2072116245","https://openalex.org/W2076597241","https://openalex.org/W2102057409","https://openalex.org/W2115607130","https://openalex.org/W2126025935","https://openalex.org/W2157532279","https://openalex.org/W2162061008","https://openalex.org/W2171469178","https://openalex.org/W2191250060","https://openalex.org/W2195089932","https://openalex.org/W2207680670","https://openalex.org/W2462344498","https://openalex.org/W2505714040","https://openalex.org/W3104564324","https://openalex.org/W4301454655","https://openalex.org/W6643266367","https://openalex.org/W6785606858"],"related_works":["https://openalex.org/W2099333796","https://openalex.org/W1999058329","https://openalex.org/W2011222276","https://openalex.org/W2080330449","https://openalex.org/W2007221537","https://openalex.org/W1934622834","https://openalex.org/W2015036175","https://openalex.org/W2115512691","https://openalex.org/W2162992672","https://openalex.org/W2792368061"],"abstract_inverted_index":{"To":[0],"suppress":[1],"the":[2,25,32,37,43,55,59,62,72,76,86,93,116,122,124,128,131,137,141,149],"regenerative":[3],"chatter":[4,44,142],"in":[5],"milling,":[6,33],"an":[7,14],"active":[8,110],"control":[9,111,119,151],"strategy":[10,152],"with":[11,97],"utilization":[12],"of":[13,31,36,42,58,61,75,133,136,148],"adaptive":[15],"controller":[16],"and":[17,39,78,113,127,140],"two":[18,100,107],"piezoelectric":[19],"actuators":[20],"(PZTAs)":[21],"is":[22,68,82,153],"developed,":[23],"where":[24],"nonlinear":[26],"cutting":[27],"forces,":[28],"uncertain":[29],"dynamics":[30,60],"hysteresis":[34,73,87],"effect":[35,41],"PZTAs":[38,77,108],"time-delayed":[40],"are":[45,51,103,144],"considered.":[46],"Fuzzy":[47],"neural":[48],"networks":[49],"(FNNs)":[50],"employed":[52],"to":[53,70,84,91],"approximate":[54],"unknown":[56],"function":[57],"milling.":[63],"The":[64,146],"Prandtl-Ishlinskii":[65],"(PI)":[66],"model":[67,81],"adopted":[69],"describe":[71],"nonlinearities":[74],"its":[79],"inverse":[80],"applied":[83],"alleviate":[85],"effect.":[88],"In":[89],"order":[90],"achieve":[92],"expected":[94],"tracking":[95],"trajectories":[96],"prescribed":[98],"performances,":[99],"performance":[101,129],"functions":[102],"used.":[104],"By":[105],"employing":[106],"as":[109],"elements":[112],"by":[114,155],"combining":[115],"dynamic":[117],"surface":[118],"(DSC)":[120],"method,":[121],"FNNs,":[123],"Lyapunov-Krasovskii":[125],"functionals":[126],"functions,":[130],"boundedness":[132],"all":[134],"signals":[135],"closed":[138],"loop":[139],"stability":[143],"obtained.":[145],"validity":[147],"developed":[150],"revealed":[154],"simulations.":[156]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2021,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
