{"id":"https://openalex.org/W2979117666","doi":"https://doi.org/10.1109/ijcnn.2019.8851793","title":"Adaptive Model Learning of Neural Networks with UUB Stability for Robot Dynamic Estimation","display_name":"Adaptive Model Learning of Neural Networks with UUB Stability for Robot Dynamic Estimation","publication_year":2019,"publication_date":"2019-07-01","ids":{"openalex":"https://openalex.org/W2979117666","doi":"https://doi.org/10.1109/ijcnn.2019.8851793","mag":"2979117666"},"language":"en","primary_location":{"id":"doi:10.1109/ijcnn.2019.8851793","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn.2019.8851793","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 International Joint Conference on Neural Networks (IJCNN)","raw_type":"proceedings-article"},"type":"article","indexed_in":["arxiv","crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2210.15055","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5023558062","display_name":"Pedram Agand","orcid":"https://orcid.org/0000-0001-5638-585X"},"institutions":[{"id":"https://openalex.org/I80543232","display_name":"K.N.Toosi University of Technology","ror":"https://ror.org/0433abe34","country_code":"IR","type":"education","lineage":["https://openalex.org/I80543232"]}],"countries":["IR"],"is_corresponding":true,"raw_author_name":"Pedram Agand","raw_affiliation_strings":["Advanced Robotics and Automation Systems (ARAS), K. N. Toosi University of Technology, Tehran, Iran"],"affiliations":[{"raw_affiliation_string":"Advanced Robotics and Automation Systems (ARAS), K. N. Toosi University of Technology, Tehran, Iran","institution_ids":["https://openalex.org/I80543232"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5044883825","display_name":"Mahdi Aliyari Shoorehdeli","orcid":"https://orcid.org/0000-0002-9985-510X"},"institutions":[{"id":"https://openalex.org/I80543232","display_name":"K.N.Toosi University of Technology","ror":"https://ror.org/0433abe34","country_code":"IR","type":"education","lineage":["https://openalex.org/I80543232"]}],"countries":["IR"],"is_corresponding":false,"raw_author_name":"Mahdi Aliyari Shoorehdeli","raw_affiliation_strings":["Advanced Process Automation and Control (APAC), K. N. Toosi University of Technology, Tehran, Iran"],"affiliations":[{"raw_affiliation_string":"Advanced Process Automation and Control (APAC), K. N. Toosi University of Technology, Tehran, Iran","institution_ids":["https://openalex.org/I80543232"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5023558062"],"corresponding_institution_ids":["https://openalex.org/I80543232"],"apc_list":null,"apc_paid":null,"fwci":0.434,"has_fulltext":false,"cited_by_count":9,"citation_normalized_percentile":{"value":0.72412968,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10320","display_name":"Neural Networks and Applications","score":0.9975000023841858,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10320","display_name":"Neural Networks and Applications","score":0.9975000023841858,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T10040","display_name":"Adaptive Control of Nonlinear Systems","score":0.9962999820709229,"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/T10531","display_name":"Advanced Vision and Imaging","score":0.9843000173568726,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/computer-science","display_name":"Computer science","score":0.6829546093940735},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.6385586261749268},{"id":"https://openalex.org/keywords/lyapunov-function","display_name":"Lyapunov function","score":0.6130985617637634},{"id":"https://openalex.org/keywords/control-theory","display_name":"Control theory (sociology)","score":0.5580483078956604},{"id":"https://openalex.org/keywords/robot","display_name":"Robot","score":0.5387725234031677},{"id":"https://openalex.org/keywords/stability","display_name":"Stability (learning theory)","score":0.48284298181533813},{"id":"https://openalex.org/keywords/lyapunov-stability","display_name":"Lyapunov stability","score":0.4330163300037384},{"id":"https://openalex.org/keywords/convex-optimization","display_name":"Convex optimization","score":0.41688916087150574},{"id":"https://openalex.org/keywords/adaptive-learning","display_name":"Adaptive learning","score":0.4162459671497345},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.39719152450561523},{"id":"https://openalex.org/keywords/regular-polygon","display_name":"Regular polygon","score":0.25523000955581665},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.23528146743774414},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.19262641668319702},{"id":"https://openalex.org/keywords/control","display_name":"Control (management)","score":0.13265922665596008},{"id":"https://openalex.org/keywords/nonlinear-system","display_name":"Nonlinear system","score":0.1001501977443695}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6829546093940735},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.6385586261749268},{"id":"https://openalex.org/C60640748","wikidata":"https://www.wikidata.org/wiki/Q2337858","display_name":"Lyapunov function","level":3,"score":0.6130985617637634},{"id":"https://openalex.org/C47446073","wikidata":"https://www.wikidata.org/wiki/Q5165890","display_name":"Control theory (sociology)","level":3,"score":0.5580483078956604},{"id":"https://openalex.org/C90509273","wikidata":"https://www.wikidata.org/wiki/Q11012","display_name":"Robot","level":2,"score":0.5387725234031677},{"id":"https://openalex.org/C112972136","wikidata":"https://www.wikidata.org/wiki/Q7595718","display_name":"Stability (learning theory)","level":2,"score":0.48284298181533813},{"id":"https://openalex.org/C2776829284","wikidata":"https://www.wikidata.org/wiki/Q1341651","display_name":"Lyapunov stability","level":3,"score":0.4330163300037384},{"id":"https://openalex.org/C157972887","wikidata":"https://www.wikidata.org/wiki/Q463359","display_name":"Convex optimization","level":3,"score":0.41688916087150574},{"id":"https://openalex.org/C125014702","wikidata":"https://www.wikidata.org/wiki/Q4680749","display_name":"Adaptive learning","level":2,"score":0.4162459671497345},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.39719152450561523},{"id":"https://openalex.org/C112680207","wikidata":"https://www.wikidata.org/wiki/Q714886","display_name":"Regular polygon","level":2,"score":0.25523000955581665},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.23528146743774414},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.19262641668319702},{"id":"https://openalex.org/C2775924081","wikidata":"https://www.wikidata.org/wiki/Q55608371","display_name":"Control (management)","level":2,"score":0.13265922665596008},{"id":"https://openalex.org/C158622935","wikidata":"https://www.wikidata.org/wiki/Q660848","display_name":"Nonlinear system","level":2,"score":0.1001501977443695},{"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/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/ijcnn.2019.8851793","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn.2019.8851793","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 International Joint Conference on Neural Networks (IJCNN)","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:2210.15055","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2210.15055","pdf_url":"https://arxiv.org/pdf/2210.15055","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2210.15055","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2210.15055","pdf_url":"https://arxiv.org/pdf/2210.15055","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[{"display_name":"Affordable and clean energy","score":0.8899999856948853,"id":"https://metadata.un.org/sdg/7"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":27,"referenced_works":["https://openalex.org/W234738007","https://openalex.org/W421662763","https://openalex.org/W1494912895","https://openalex.org/W1843747997","https://openalex.org/W1986024064","https://openalex.org/W2022674880","https://openalex.org/W2051671655","https://openalex.org/W2067603665","https://openalex.org/W2081535564","https://openalex.org/W2103967578","https://openalex.org/W2106396396","https://openalex.org/W2108733687","https://openalex.org/W2129214612","https://openalex.org/W2414711238","https://openalex.org/W2529675917","https://openalex.org/W2551315020","https://openalex.org/W2598492970","https://openalex.org/W2616899993","https://openalex.org/W2734534155","https://openalex.org/W2734959889","https://openalex.org/W2736215536","https://openalex.org/W2744758579","https://openalex.org/W2953133772","https://openalex.org/W2963981733","https://openalex.org/W4301206121","https://openalex.org/W6716109767","https://openalex.org/W6765779288"],"related_works":["https://openalex.org/W8302103","https://openalex.org/W3171631314","https://openalex.org/W2674584172","https://openalex.org/W2967743314","https://openalex.org/W2606825221","https://openalex.org/W2184085865","https://openalex.org/W2064245428","https://openalex.org/W2534107666","https://openalex.org/W2117933783","https://openalex.org/W2560479139"],"abstract_inverted_index":{"Since":[0],"batch":[1],"algorithms":[2],"suffer":[3],"from":[4,41,81],"lack":[5],"of":[6,49,100],"proficiency":[7],"in":[8],"confronting":[9],"model":[10,42],"mismatches":[11],"and":[12],"disturbances,":[13],"this":[14],"contribution":[15],"proposes":[16],"an":[17],"adaptive":[18,44],"scheme":[19],"based":[20],"on":[21,92],"continuous":[22],"Lyapunov":[23,63,82],"function":[24],"for":[25,71],"online":[26],"robot":[27,59],"dynamic":[28,60],"identification.":[29],"This":[30],"paper":[31],"suggests":[32],"stable":[33],"updating":[34],"rules":[35,77],"to":[36,57,67,84],"drive":[37],"neural":[38,53],"networks":[39,54],"inspiring":[40],"reference":[43],"paradigm.":[45],"Network":[46],"structure":[47],"consists":[48],"three":[50],"parallel":[51],"self-driving":[52],"which":[55],"aim":[56],"estimate":[58],"terms":[61],"individually.":[62],"candidate":[64],"is":[65],"selected":[66],"construct":[68],"energy":[69],"surface":[70],"a":[72],"convex":[73],"optimization":[74],"framework.":[75],"Learning":[76],"are":[78],"driven":[79],"directly":[80],"functions":[83],"make":[85],"the":[86,101],"derivative":[87],"negative.":[88],"Finally,":[89],"experimental":[90],"results":[91],"3-DOF":[93],"Phantom":[94],"Omni":[95],"Haptic":[96],"device":[97],"demonstrate":[98],"efficiency":[99],"proposed":[102],"method.":[103]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":5},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1}],"updated_date":"2026-03-20T23:20:44.827607","created_date":"2019-10-10T00:00:00"}