{"id":"https://openalex.org/W2120267217","doi":"https://doi.org/10.1109/isic.2004.1387726","title":"Visual servoing with velocity observer and neural compensation","display_name":"Visual servoing with velocity observer and neural compensation","publication_year":2005,"publication_date":"2005-03-21","ids":{"openalex":"https://openalex.org/W2120267217","doi":"https://doi.org/10.1109/isic.2004.1387726","mag":"2120267217"},"language":"en","primary_location":{"id":"doi:10.1109/isic.2004.1387726","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isic.2004.1387726","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2004 IEEE International Symposium on Intelligent Control, 2004.","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/A5008201587","display_name":"Wen Yu","orcid":"https://orcid.org/0000-0002-9540-7924"},"institutions":[{"id":"https://openalex.org/I68368234","display_name":"Center for Research and Advanced Studies of the National Polytechnic Institute","ror":"https://ror.org/009eqmr18","country_code":"MX","type":"facility","lineage":["https://openalex.org/I59361560","https://openalex.org/I68368234"]},{"id":"https://openalex.org/I59361560","display_name":"Instituto Polit\u00e9cnico Nacional","ror":"https://ror.org/059sp8j34","country_code":"MX","type":"education","lineage":["https://openalex.org/I59361560"]}],"countries":["MX"],"is_corresponding":true,"raw_author_name":"Wen Yu","raw_affiliation_strings":["Departamento de Control Automatico, CINVESTAV, Mexico, Mexico","Departamento de Control Autom., ClNVESTAV-IPN, Mexico City, Mexico"],"affiliations":[{"raw_affiliation_string":"Departamento de Control Automatico, CINVESTAV, Mexico, Mexico","institution_ids":["https://openalex.org/I68368234"]},{"raw_affiliation_string":"Departamento de Control Autom., ClNVESTAV-IPN, Mexico City, Mexico","institution_ids":["https://openalex.org/I59361560","https://openalex.org/I68368234"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100683740","display_name":"Xiaoou Li","orcid":"https://orcid.org/0000-0003-3087-7375"},"institutions":[{"id":"https://openalex.org/I68368234","display_name":"Center for Research and Advanced Studies of the National Polytechnic Institute","ror":"https://ror.org/009eqmr18","country_code":"MX","type":"facility","lineage":["https://openalex.org/I59361560","https://openalex.org/I68368234"]}],"countries":["MX"],"is_corresponding":false,"raw_author_name":"Xiaoou Li","raw_affiliation_strings":["Seccih de Computaci\u00f3n, Departamento de Ingenier\u00eda El\u00e9trica, CINVESTAV, Mexico, Mexico","CINVESTAV\u2014IPN"],"affiliations":[{"raw_affiliation_string":"Seccih de Computaci\u00f3n, Departamento de Ingenier\u00eda El\u00e9trica, CINVESTAV, Mexico, Mexico","institution_ids":["https://openalex.org/I68368234"]},{"raw_affiliation_string":"CINVESTAV\u2014IPN","institution_ids":["https://openalex.org/I68368234"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5008201587"],"corresponding_institution_ids":["https://openalex.org/I59361560","https://openalex.org/I68368234"],"apc_list":null,"apc_paid":null,"fwci":0.2937,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.61675759,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"454","last_page":"459"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10531","display_name":"Advanced Vision and Imaging","score":0.9998000264167786,"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"}},"topics":[{"id":"https://openalex.org/T10531","display_name":"Advanced Vision and Imaging","score":0.9998000264167786,"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"}},{"id":"https://openalex.org/T13114","display_name":"Image Processing Techniques and Applications","score":0.9894999861717224,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"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/T10250","display_name":"Glaucoma and retinal disorders","score":0.9718000292778015,"subfield":{"id":"https://openalex.org/subfields/2731","display_name":"Ophthalmology"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/visual-servoing","display_name":"Visual servoing","score":0.9055659770965576},{"id":"https://openalex.org/keywords/control-theory","display_name":"Control theory (sociology)","score":0.7619841694831848},{"id":"https://openalex.org/keywords/observer","display_name":"Observer (physics)","score":0.6881893277168274},{"id":"https://openalex.org/keywords/compensation","display_name":"Compensation (psychology)","score":0.6353744268417358},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5844712853431702},{"id":"https://openalex.org/keywords/lyapunov-function","display_name":"Lyapunov function","score":0.5761821866035461},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5651367902755737},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4995408058166504},{"id":"https://openalex.org/keywords/stability","display_name":"Stability (learning theory)","score":0.4937325417995453},{"id":"https://openalex.org/keywords/lyapunov-stability","display_name":"Lyapunov stability","score":0.4403632581233978},{"id":"https://openalex.org/keywords/robot","display_name":"Robot","score":0.440101683139801},{"id":"https://openalex.org/keywords/state-observer","display_name":"State observer","score":0.4375995695590973},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4238443374633789},{"id":"https://openalex.org/keywords/control","display_name":"Control (management)","score":0.18524935841560364},{"id":"https://openalex.org/keywords/nonlinear-system","display_name":"Nonlinear system","score":0.12490120530128479},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.08963736891746521}],"concepts":[{"id":"https://openalex.org/C10912380","wikidata":"https://www.wikidata.org/wiki/Q527952","display_name":"Visual servoing","level":3,"score":0.9055659770965576},{"id":"https://openalex.org/C47446073","wikidata":"https://www.wikidata.org/wiki/Q5165890","display_name":"Control theory (sociology)","level":3,"score":0.7619841694831848},{"id":"https://openalex.org/C2780704645","wikidata":"https://www.wikidata.org/wiki/Q9251458","display_name":"Observer (physics)","level":2,"score":0.6881893277168274},{"id":"https://openalex.org/C2780023022","wikidata":"https://www.wikidata.org/wiki/Q1338171","display_name":"Compensation (psychology)","level":2,"score":0.6353744268417358},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5844712853431702},{"id":"https://openalex.org/C60640748","wikidata":"https://www.wikidata.org/wiki/Q2337858","display_name":"Lyapunov function","level":3,"score":0.5761821866035461},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5651367902755737},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4995408058166504},{"id":"https://openalex.org/C112972136","wikidata":"https://www.wikidata.org/wiki/Q7595718","display_name":"Stability (learning theory)","level":2,"score":0.4937325417995453},{"id":"https://openalex.org/C2776829284","wikidata":"https://www.wikidata.org/wiki/Q1341651","display_name":"Lyapunov stability","level":3,"score":0.4403632581233978},{"id":"https://openalex.org/C90509273","wikidata":"https://www.wikidata.org/wiki/Q11012","display_name":"Robot","level":2,"score":0.440101683139801},{"id":"https://openalex.org/C3031470","wikidata":"https://www.wikidata.org/wiki/Q818544","display_name":"State observer","level":3,"score":0.4375995695590973},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4238443374633789},{"id":"https://openalex.org/C2775924081","wikidata":"https://www.wikidata.org/wiki/Q55608371","display_name":"Control (management)","level":2,"score":0.18524935841560364},{"id":"https://openalex.org/C158622935","wikidata":"https://www.wikidata.org/wiki/Q660848","display_name":"Nonlinear system","level":2,"score":0.12490120530128479},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.08963736891746521},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","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/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.0},{"id":"https://openalex.org/C11171543","wikidata":"https://www.wikidata.org/wiki/Q41630","display_name":"Psychoanalysis","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/isic.2004.1387726","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isic.2004.1387726","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2004 IEEE International Symposium on Intelligent Control, 2004.","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.4699999988079071,"id":"https://metadata.un.org/sdg/7","display_name":"Affordable and clean energy"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":19,"referenced_works":["https://openalex.org/W2035895226","https://openalex.org/W2071956437","https://openalex.org/W2103084984","https://openalex.org/W2108134330","https://openalex.org/W2109460101","https://openalex.org/W2112235088","https://openalex.org/W2112378960","https://openalex.org/W2122739526","https://openalex.org/W2132442055","https://openalex.org/W2140913754","https://openalex.org/W2154513594","https://openalex.org/W2161505441","https://openalex.org/W2165626406","https://openalex.org/W2167501464","https://openalex.org/W2167890514","https://openalex.org/W2730412115","https://openalex.org/W4247922628","https://openalex.org/W4248304976","https://openalex.org/W6740332507"],"related_works":["https://openalex.org/W2394201814","https://openalex.org/W2544838361","https://openalex.org/W2315418312","https://openalex.org/W2501264310","https://openalex.org/W4205434950","https://openalex.org/W2111927334","https://openalex.org/W2113447317","https://openalex.org/W4378174414","https://openalex.org/W4391766543","https://openalex.org/W2165082107"],"abstract_inverted_index":{"The":[0],"normal":[1],"visual":[2,62],"servoing":[3,63],"of":[4,61],"robot":[5],"has":[6],"two":[7,23],"drawbacks:":[8],"it":[9],"needs":[10],"joint":[11,36],"velocity":[12],"sensors,":[13],"and":[14,38,48,53,67],"cannot":[15],"guarantee":[16],"zero":[17],"steady":[18],"state":[19],"error.":[20],"We":[21],"make":[22],"modifications":[24],"to":[25,33,45],"overcome":[26],"these":[27],"problems.":[28],"Sliding-mode":[29],"observer":[30,66],"is":[31,43],"applied":[32],"estimate":[34],"the":[35,59],"velocities,":[37],"a":[39],"RBF":[40,68],"neural":[41,69],"network":[42],"used":[44],"compensate":[46],"gravity":[47],"friction.":[49],"Based":[50],"on":[51],"Lyapunov":[52],"input-to-state":[54],"stability":[55,60],"analysis,":[56],"we":[57],"prove":[58],"system":[64],"with":[65],"networks.":[70]},"counts_by_year":[{"year":2014,"cited_by_count":2},{"year":2012,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}