{"id":"https://openalex.org/W2895797418","doi":"https://doi.org/10.1109/fuzz-ieee.2018.8491612","title":"adaptive hierarchical sliding mode control based on fuzzy neural network for an underactuated system","display_name":"adaptive hierarchical sliding mode control based on fuzzy neural network for an underactuated system","publication_year":2018,"publication_date":"2018-07-01","ids":{"openalex":"https://openalex.org/W2895797418","doi":"https://doi.org/10.1109/fuzz-ieee.2018.8491612","mag":"2895797418"},"language":"en","primary_location":{"id":"doi:10.1109/fuzz-ieee.2018.8491612","is_oa":false,"landing_page_url":"https://doi.org/10.1109/fuzz-ieee.2018.8491612","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE)","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/A5101426467","display_name":"Xiaorong Huang","orcid":"https://orcid.org/0000-0001-5403-890X"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Xiaorong Huang","raw_affiliation_strings":["Department of Electromechanical Measuring and Controlling, School of Mechanical Engineering, Chengdu, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electromechanical Measuring and Controlling, School of Mechanical Engineering, Chengdu, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5034068803","display_name":"Anca Ralescu","orcid":"https://orcid.org/0000-0002-7564-3540"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Anca L. Ralescu","raw_affiliation_strings":["Department of Electrical Engineering & Computer Science, College of Engineering and Applied Science, Cincinnati, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering & Computer Science, College of Engineering and Applied Science, Cincinnati, USA","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5055401422","display_name":"Hongli Gao","orcid":"https://orcid.org/0000-0002-9288-4418"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Hongli Gao","raw_affiliation_strings":["Department of Electromechanical Measuring and Controlling, School of Mechanical Engineering, Chengdu, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electromechanical Measuring and Controlling, School of Mechanical Engineering, Chengdu, China","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101476741","display_name":"Juan Wen","orcid":"https://orcid.org/0000-0001-9506-1786"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Juan Wen","raw_affiliation_strings":["Department of Electromechanical Measuring and Controlling, School of Mechanical Engineering, Chengdu, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electromechanical Measuring and Controlling, School of Mechanical Engineering, Chengdu, China","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":"24","issue":null,"first_page":"1","last_page":"7"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10040","display_name":"Adaptive Control of Nonlinear Systems","score":0.9998000264167786,"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/T10040","display_name":"Adaptive Control of Nonlinear Systems","score":0.9998000264167786,"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/T11615","display_name":"Control and Dynamics of Mobile Robots","score":0.9975000023841858,"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/T11394","display_name":"Dynamics and Control of Mechanical Systems","score":0.995199978351593,"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/underactuation","display_name":"Underactuation","score":0.8796360492706299},{"id":"https://openalex.org/keywords/control-theory","display_name":"Control theory (sociology)","score":0.7970386147499084},{"id":"https://openalex.org/keywords/sliding-mode-control","display_name":"Sliding mode control","score":0.7057273387908936},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.6619595885276794},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5949307680130005},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5248700976371765},{"id":"https://openalex.org/keywords/fuzzy-control-system","display_name":"Fuzzy control system","score":0.5240557193756104},{"id":"https://openalex.org/keywords/fuzzy-logic","display_name":"Fuzzy logic","score":0.5143297910690308},{"id":"https://openalex.org/keywords/lyapunov-function","display_name":"Lyapunov function","score":0.5056376457214355},{"id":"https://openalex.org/keywords/nonlinear-system","display_name":"Nonlinear system","score":0.4819483458995819},{"id":"https://openalex.org/keywords/adaptive-neuro-fuzzy-inference-system","display_name":"Adaptive neuro fuzzy inference system","score":0.46090683341026306},{"id":"https://openalex.org/keywords/overhead-crane","display_name":"Overhead crane","score":0.43507838249206543},{"id":"https://openalex.org/keywords/lyapunov-stability","display_name":"Lyapunov stability","score":0.41980311274528503},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.2658008337020874},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.17215824127197266},{"id":"https://openalex.org/keywords/robot","display_name":"Robot","score":0.1183997094631195},{"id":"https://openalex.org/keywords/control","display_name":"Control (management)","score":0.09079107642173767}],"concepts":[{"id":"https://openalex.org/C88337583","wikidata":"https://www.wikidata.org/wiki/Q7883433","display_name":"Underactuation","level":3,"score":0.8796360492706299},{"id":"https://openalex.org/C47446073","wikidata":"https://www.wikidata.org/wiki/Q5165890","display_name":"Control theory (sociology)","level":3,"score":0.7970386147499084},{"id":"https://openalex.org/C36662352","wikidata":"https://www.wikidata.org/wiki/Q6008560","display_name":"Sliding mode control","level":3,"score":0.7057273387908936},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.6619595885276794},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5949307680130005},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5248700976371765},{"id":"https://openalex.org/C195975749","wikidata":"https://www.wikidata.org/wiki/Q1475705","display_name":"Fuzzy control system","level":3,"score":0.5240557193756104},{"id":"https://openalex.org/C58166","wikidata":"https://www.wikidata.org/wiki/Q224821","display_name":"Fuzzy logic","level":2,"score":0.5143297910690308},{"id":"https://openalex.org/C60640748","wikidata":"https://www.wikidata.org/wiki/Q2337858","display_name":"Lyapunov function","level":3,"score":0.5056376457214355},{"id":"https://openalex.org/C158622935","wikidata":"https://www.wikidata.org/wiki/Q660848","display_name":"Nonlinear system","level":2,"score":0.4819483458995819},{"id":"https://openalex.org/C186108316","wikidata":"https://www.wikidata.org/wiki/Q352530","display_name":"Adaptive neuro fuzzy inference system","level":4,"score":0.46090683341026306},{"id":"https://openalex.org/C2779279789","wikidata":"https://www.wikidata.org/wiki/Q1060390","display_name":"Overhead crane","level":2,"score":0.43507838249206543},{"id":"https://openalex.org/C2776829284","wikidata":"https://www.wikidata.org/wiki/Q1341651","display_name":"Lyapunov stability","level":3,"score":0.41980311274528503},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.2658008337020874},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.17215824127197266},{"id":"https://openalex.org/C90509273","wikidata":"https://www.wikidata.org/wiki/Q11012","display_name":"Robot","level":2,"score":0.1183997094631195},{"id":"https://openalex.org/C2775924081","wikidata":"https://www.wikidata.org/wiki/Q55608371","display_name":"Control (management)","level":2,"score":0.09079107642173767},{"id":"https://openalex.org/C66938386","wikidata":"https://www.wikidata.org/wiki/Q633538","display_name":"Structural engineering","level":1,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","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/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/fuzz-ieee.2018.8491612","is_oa":false,"landing_page_url":"https://doi.org/10.1109/fuzz-ieee.2018.8491612","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions","score":0.8100000023841858}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":17,"referenced_works":["https://openalex.org/W1517236425","https://openalex.org/W1559327333","https://openalex.org/W1964468250","https://openalex.org/W2000202770","https://openalex.org/W2012236668","https://openalex.org/W2050918738","https://openalex.org/W2079987939","https://openalex.org/W2088447802","https://openalex.org/W2089601001","https://openalex.org/W2099180373","https://openalex.org/W2123010170","https://openalex.org/W2132652732","https://openalex.org/W2134041927","https://openalex.org/W2146642697","https://openalex.org/W2474355832","https://openalex.org/W2505381306","https://openalex.org/W2610093888"],"related_works":["https://openalex.org/W3147756312","https://openalex.org/W2352209758","https://openalex.org/W3112982930","https://openalex.org/W1943136368","https://openalex.org/W2540077422","https://openalex.org/W2745168490","https://openalex.org/W2039681108","https://openalex.org/W2759865580","https://openalex.org/W2782225896","https://openalex.org/W2036418410"],"abstract_inverted_index":{"We":[0],"present":[1],"an":[2,119,123],"adaptive":[3],"hierarchical":[4,95],"sliding":[5,50,57,96],"mode":[6,97],"control":[7,81,86,98],"based":[8,171],"on":[9,103,172],"fuzzy":[10,125,152],"neural":[11,126,153],"network":[12,127,154],"(AFNNHSMC)":[13],"for":[14],"a":[15,160,184],"class":[16],"of":[17,28,106,109,140,165,183,199],"underactuated":[18,33,111],"nonlinear":[19,34],"systems.":[20],"The":[21,32,163],"approach":[22],"is":[23,36,43,76,130,169,189],"applied":[24,131],"to":[25,45,132,193],"the":[26,47,54,63,66,71,73,79,84,94,104,110,134,138,151,166,173,177,181,195,200,205],"problem":[27],"high-precision":[29],"trajectory":[30],"tracking.":[31],"system":[35,129,141,155,168,188],"viewed":[37],"as":[38],"several":[39],"subsystems.":[40],"One":[41],"subsystem":[42],"used":[44,192],"design":[46,74],"first":[48],"layer":[49,56],"surface,":[51],"which":[52],"constructs":[53],"second":[55],"surface":[58],"with":[59,204],"another":[60],"subsystem.":[61],"When":[62],"top":[64],"layer,":[65,68],"nth":[67],"includes":[69],"all":[70],"subsystems,":[72],"process":[75],"finished.":[77],"Meanwhile,":[78],"equivalent":[80],"law":[82,87,100],"and":[83,114,146,176,191,197],"switching":[85],"are":[88,156],"achieved":[89],"at":[90],"every":[91],"layer.":[92],"Because":[93],"(HSMC)":[99],"relies":[101],"excessively":[102],"requirement":[105],"detailed":[107],"information":[108],"dynamic":[112],"system,":[113],"because":[115],"that":[116],"method":[117,202],"causes":[118],"inevitable":[120],"chattering":[121],"phenomenon,":[122],"online":[124,158],"(FNN)":[128],"mimic":[133],"HSMC":[135,207],"law.":[136],"Moreover,":[137],"bounds":[139],"uncertainties,":[142],"time-varying":[143],"external":[144],"disturbances,":[145],"modeling":[147],"error":[148],"caused":[149],"by":[150,159],"estimated":[157],"robust":[161],"term.":[162],"stability":[164],"closed-loop":[167],"guaranteed":[170],"Lyapunov":[174],"theory":[175],"Barbalat's":[178],"Lemma.":[179],"Finally,":[180],"example":[182],"single-pendulum-type":[185],"overhead":[186],"crane":[187],"simulated":[190],"verify":[194],"effectiveness":[196],"robustness":[198],"proposed":[201],"compared":[203],"conventional":[206],"method.":[208]},"counts_by_year":[{"year":2020,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}