{"id":"https://openalex.org/W2552794626","doi":"https://doi.org/10.1109/ijcnn.2016.7727850","title":"Event-sampled adaptive neural network control of robot manipulators","display_name":"Event-sampled adaptive neural network control of robot manipulators","publication_year":2016,"publication_date":"2016-07-01","ids":{"openalex":"https://openalex.org/W2552794626","doi":"https://doi.org/10.1109/ijcnn.2016.7727850","mag":"2552794626"},"language":"en","primary_location":{"id":"doi:10.1109/ijcnn.2016.7727850","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn.2016.7727850","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 International Joint Conference on Neural Networks (IJCNN)","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/A5019813462","display_name":"Vignesh Narayanan","orcid":"https://orcid.org/0000-0002-9505-7143"},"institutions":[{"id":"https://openalex.org/I20382870","display_name":"Missouri University of Science and Technology","ror":"https://ror.org/00scwqd12","country_code":"US","type":"education","lineage":["https://openalex.org/I20382870"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Vignesh Narayanan","raw_affiliation_strings":["Department of Electrical and Computer Engineering, Missouri University of Science and Technology, Rolla, MO, USA"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, Missouri University of Science and Technology, Rolla, MO, USA","institution_ids":["https://openalex.org/I20382870"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5078910343","display_name":"S. Jagannathan","orcid":"https://orcid.org/0000-0002-2310-3737"},"institutions":[{"id":"https://openalex.org/I20382870","display_name":"Missouri University of Science and Technology","ror":"https://ror.org/00scwqd12","country_code":"US","type":"education","lineage":["https://openalex.org/I20382870"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"S. Jagannathan","raw_affiliation_strings":["Department of Electrical and Computer Engineering, Missouri University of Science and Technology, Rolla, MO, USA"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, Missouri University of Science and Technology, Rolla, MO, USA","institution_ids":["https://openalex.org/I20382870"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5019813462"],"corresponding_institution_ids":["https://openalex.org/I20382870"],"apc_list":null,"apc_paid":null,"fwci":0.8034,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.76136693,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"3","issue":null,"first_page":"4941","last_page":"4946"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10040","display_name":"Adaptive Control of Nonlinear Systems","score":0.9997000098228455,"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":0.9997000098228455,"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/T11347","display_name":"Neural Networks Stability and Synchronization","score":0.9987000226974487,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12794","display_name":"Adaptive Dynamic Programming Control","score":0.9983000159263611,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"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":0.7990562915802002},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6164071559906006},{"id":"https://openalex.org/keywords/lyapunov-function","display_name":"Lyapunov function","score":0.6158602237701416},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5860782265663147},{"id":"https://openalex.org/keywords/robot","display_name":"Robot","score":0.548210084438324},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.5419360995292664},{"id":"https://openalex.org/keywords/adaptive-control","display_name":"Adaptive control","score":0.5343754887580872},{"id":"https://openalex.org/keywords/event","display_name":"Event (particle physics)","score":0.49043604731559753},{"id":"https://openalex.org/keywords/control-engineering","display_name":"Control engineering","score":0.48654237389564514},{"id":"https://openalex.org/keywords/nonlinear-system","display_name":"Nonlinear system","score":0.4568522572517395},{"id":"https://openalex.org/keywords/sampling","display_name":"Sampling (signal processing)","score":0.4451884329319},{"id":"https://openalex.org/keywords/lyapunov-stability","display_name":"Lyapunov stability","score":0.43463072180747986},{"id":"https://openalex.org/keywords/stability","display_name":"Stability (learning theory)","score":0.4240614175796509},{"id":"https://openalex.org/keywords/robotic-arm","display_name":"Robotic arm","score":0.410508394241333},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3095937967300415},{"id":"https://openalex.org/keywords/control","display_name":"Control (management)","score":0.29835379123687744},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.2019023299217224},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.09221261739730835},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.09181126952171326},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.07465875148773193}],"concepts":[{"id":"https://openalex.org/C47446073","wikidata":"https://www.wikidata.org/wiki/Q5165890","display_name":"Control theory (sociology)","level":3,"score":0.7990562915802002},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6164071559906006},{"id":"https://openalex.org/C60640748","wikidata":"https://www.wikidata.org/wiki/Q2337858","display_name":"Lyapunov function","level":3,"score":0.6158602237701416},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5860782265663147},{"id":"https://openalex.org/C90509273","wikidata":"https://www.wikidata.org/wiki/Q11012","display_name":"Robot","level":2,"score":0.548210084438324},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.5419360995292664},{"id":"https://openalex.org/C107464732","wikidata":"https://www.wikidata.org/wiki/Q235781","display_name":"Adaptive control","level":3,"score":0.5343754887580872},{"id":"https://openalex.org/C2779662365","wikidata":"https://www.wikidata.org/wiki/Q5416694","display_name":"Event (particle physics)","level":2,"score":0.49043604731559753},{"id":"https://openalex.org/C133731056","wikidata":"https://www.wikidata.org/wiki/Q4917288","display_name":"Control engineering","level":1,"score":0.48654237389564514},{"id":"https://openalex.org/C158622935","wikidata":"https://www.wikidata.org/wiki/Q660848","display_name":"Nonlinear system","level":2,"score":0.4568522572517395},{"id":"https://openalex.org/C140779682","wikidata":"https://www.wikidata.org/wiki/Q210868","display_name":"Sampling (signal processing)","level":3,"score":0.4451884329319},{"id":"https://openalex.org/C2776829284","wikidata":"https://www.wikidata.org/wiki/Q1341651","display_name":"Lyapunov stability","level":3,"score":0.43463072180747986},{"id":"https://openalex.org/C112972136","wikidata":"https://www.wikidata.org/wiki/Q7595718","display_name":"Stability (learning theory)","level":2,"score":0.4240614175796509},{"id":"https://openalex.org/C150415221","wikidata":"https://www.wikidata.org/wiki/Q40687","display_name":"Robotic arm","level":2,"score":0.410508394241333},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3095937967300415},{"id":"https://openalex.org/C2775924081","wikidata":"https://www.wikidata.org/wiki/Q55608371","display_name":"Control (management)","level":2,"score":0.29835379123687744},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.2019023299217224},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.09221261739730835},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.09181126952171326},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.07465875148773193},{"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},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ijcnn.2016.7727850","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn.2016.7727850","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 International Joint Conference on Neural Networks (IJCNN)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"},{"id":"https://openalex.org/F4320309568","display_name":"University of Missouri","ror":"https://ror.org/02ymw8z06"},{"id":"https://openalex.org/F4320333675","display_name":"Intelligent Systems Center","ror":null},{"id":"https://openalex.org/F4320337392","display_name":"Division of Electrical, Communications and Cyber Systems","ror":"https://ror.org/01krpsy48"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":10,"referenced_works":["https://openalex.org/W1517236425","https://openalex.org/W1978518835","https://openalex.org/W2031788461","https://openalex.org/W2034489647","https://openalex.org/W2046956237","https://openalex.org/W2115932303","https://openalex.org/W2253274025","https://openalex.org/W2364918774","https://openalex.org/W2473265833","https://openalex.org/W6630914634"],"related_works":["https://openalex.org/W1934622834","https://openalex.org/W2372856383","https://openalex.org/W2015036175","https://openalex.org/W2005085248","https://openalex.org/W2534107666","https://openalex.org/W2117933783","https://openalex.org/W2103496243","https://openalex.org/W2560479139","https://openalex.org/W2043000245","https://openalex.org/W2110713095"],"abstract_inverted_index":{"Event":[0],"based":[1],"sampling":[2],"of":[3,19,28,36,53,95],"feedback":[4,26],"signals":[5],"and":[6,89,109],"control":[7,27,64,119],"inputs":[8],"are":[9,102],"shown":[10],"to":[11,47,61,84,90,104,110],"reduce":[12],"computations.":[13],"In":[14],"this":[15],"paper,":[16],"the":[17,34,49,54,63,74,78,86,92,96,106,112,115],"design":[18],"event-sampled":[20,41,118],"adaptive":[21],"neural":[22],"network":[23],"(NN)":[24],"state":[25],"robot":[29,38,97],"manipulators":[30],"is":[31,45,58,71,82],"presented":[32,103],"in":[33,114],"presence":[35],"uncertain":[37,50],"dynamics.":[39],"The":[40],"NN":[42],"approximation":[43],"property":[44],"utilized":[46,83],"represent":[48],"nonlinear":[51],"dynamics":[52],"robotic":[55],"manipulator":[56],"which":[57],"subsequently":[59],"employed":[60],"generate":[62],"torque.":[65],"A":[66],"novel":[67],"weight":[68],"tuning":[69],"rule":[70],"designed":[72],"using":[73],"Lyapunov":[75,79],"method.":[76],"Further,":[77],"stability":[80],"theory":[81],"develop":[85],"event-sampling":[87],"condition":[88],"demonstrate":[91,111],"tracking":[93],"performance":[94],"manipulator.":[98],"Finally,":[99],"simulation":[100],"results":[101],"verify":[105],"theoretical":[107],"claims":[108],"reduction":[113],"computations":[116],"with":[117],"execution.":[120]},"counts_by_year":[{"year":2020,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}