{"id":"https://openalex.org/W2144216868","doi":"https://doi.org/10.1109/robot.1986.1087715","title":"Learning control and its optimality: Analysis and its application to controlling industrial robots","display_name":"Learning control and its optimality: Analysis and its application to controlling industrial robots","publication_year":1986,"publication_date":"1986-01-01","ids":{"openalex":"https://openalex.org/W2144216868","doi":"https://doi.org/10.1109/robot.1986.1087715","mag":"2144216868"},"language":"en","primary_location":{"id":"doi:10.1109/robot.1986.1087715","is_oa":false,"landing_page_url":"https://doi.org/10.1109/robot.1986.1087715","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings. 1986 IEEE International Conference on Robotics and Automation","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/A5005282276","display_name":"Masaki Togai","orcid":null},"institutions":[{"id":"https://openalex.org/I1283103587","display_name":"AT&T (United States)","ror":"https://ror.org/02bbd5539","country_code":"US","type":"company","lineage":["https://openalex.org/I1283103587"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"M. Togai","raw_affiliation_strings":["AT&amp;T Bell Laboratories, Holmdel, N.J"],"affiliations":[{"raw_affiliation_string":"AT&amp;T Bell Laboratories, Holmdel, N.J","institution_ids":["https://openalex.org/I1283103587"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5054463123","display_name":"Osamu Yamano","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"O. Yamano","raw_affiliation_strings":["YHP, Suginami, Tokyo, Japan"],"affiliations":[{"raw_affiliation_string":"YHP, Suginami, Tokyo, Japan","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5005282276"],"corresponding_institution_ids":["https://openalex.org/I1283103587"],"apc_list":null,"apc_paid":null,"fwci":3.6731,"has_fulltext":false,"cited_by_count":40,"citation_normalized_percentile":{"value":0.93168997,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"248","last_page":"253"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11749","display_name":"Iterative Learning Control Systems","score":0.9991999864578247,"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/T11749","display_name":"Iterative Learning Control Systems","score":0.9991999864578247,"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/T10791","display_name":"Advanced Control Systems Optimization","score":0.9868999719619751,"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/T10320","display_name":"Neural Networks and Applications","score":0.982200026512146,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/iterative-learning-control","display_name":"Iterative learning control","score":0.7748997211456299},{"id":"https://openalex.org/keywords/stability","display_name":"Stability (learning theory)","score":0.7156254649162292},{"id":"https://openalex.org/keywords/control-theory","display_name":"Control theory (sociology)","score":0.6291291117668152},{"id":"https://openalex.org/keywords/scheme","display_name":"Scheme (mathematics)","score":0.6150519251823425},{"id":"https://openalex.org/keywords/adaptive-control","display_name":"Adaptive control","score":0.6068814396858215},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5929350256919861},{"id":"https://openalex.org/keywords/robot","display_name":"Robot","score":0.5728186964988708},{"id":"https://openalex.org/keywords/control","display_name":"Control (management)","score":0.5622382164001465},{"id":"https://openalex.org/keywords/control-system","display_name":"Control system","score":0.4531332850456238},{"id":"https://openalex.org/keywords/control-engineering","display_name":"Control engineering","score":0.45149537920951843},{"id":"https://openalex.org/keywords/linear-system","display_name":"Linear system","score":0.42317819595336914},{"id":"https://openalex.org/keywords/robot-control","display_name":"Robot control","score":0.4157237410545349},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.3456305265426636},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3051951825618744},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.25843802094459534},{"id":"https://openalex.org/keywords/mobile-robot","display_name":"Mobile robot","score":0.24851426482200623},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.21830394864082336},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.17802569270133972}],"concepts":[{"id":"https://openalex.org/C117619785","wikidata":"https://www.wikidata.org/wiki/Q6094414","display_name":"Iterative learning control","level":3,"score":0.7748997211456299},{"id":"https://openalex.org/C112972136","wikidata":"https://www.wikidata.org/wiki/Q7595718","display_name":"Stability (learning theory)","level":2,"score":0.7156254649162292},{"id":"https://openalex.org/C47446073","wikidata":"https://www.wikidata.org/wiki/Q5165890","display_name":"Control theory (sociology)","level":3,"score":0.6291291117668152},{"id":"https://openalex.org/C77618280","wikidata":"https://www.wikidata.org/wiki/Q1155772","display_name":"Scheme (mathematics)","level":2,"score":0.6150519251823425},{"id":"https://openalex.org/C107464732","wikidata":"https://www.wikidata.org/wiki/Q235781","display_name":"Adaptive control","level":3,"score":0.6068814396858215},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5929350256919861},{"id":"https://openalex.org/C90509273","wikidata":"https://www.wikidata.org/wiki/Q11012","display_name":"Robot","level":2,"score":0.5728186964988708},{"id":"https://openalex.org/C2775924081","wikidata":"https://www.wikidata.org/wiki/Q55608371","display_name":"Control (management)","level":2,"score":0.5622382164001465},{"id":"https://openalex.org/C17500928","wikidata":"https://www.wikidata.org/wiki/Q959968","display_name":"Control system","level":2,"score":0.4531332850456238},{"id":"https://openalex.org/C133731056","wikidata":"https://www.wikidata.org/wiki/Q4917288","display_name":"Control engineering","level":1,"score":0.45149537920951843},{"id":"https://openalex.org/C6802819","wikidata":"https://www.wikidata.org/wiki/Q1072174","display_name":"Linear system","level":2,"score":0.42317819595336914},{"id":"https://openalex.org/C65401140","wikidata":"https://www.wikidata.org/wiki/Q7353385","display_name":"Robot control","level":4,"score":0.4157237410545349},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.3456305265426636},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3051951825618744},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.25843802094459534},{"id":"https://openalex.org/C19966478","wikidata":"https://www.wikidata.org/wiki/Q4810574","display_name":"Mobile robot","level":3,"score":0.24851426482200623},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.21830394864082336},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.17802569270133972},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/robot.1986.1087715","is_oa":false,"landing_page_url":"https://doi.org/10.1109/robot.1986.1087715","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings. 1986 IEEE International Conference on Robotics and Automation","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":17,"referenced_works":["https://openalex.org/W1516493184","https://openalex.org/W1534416612","https://openalex.org/W1536453977","https://openalex.org/W1975113431","https://openalex.org/W1982909276","https://openalex.org/W1989030442","https://openalex.org/W2040363089","https://openalex.org/W2040645927","https://openalex.org/W2064318053","https://openalex.org/W2071609006","https://openalex.org/W2146396918","https://openalex.org/W2260859552","https://openalex.org/W2986699428","https://openalex.org/W3139633029","https://openalex.org/W3142300713","https://openalex.org/W4206670532","https://openalex.org/W6647813379"],"related_works":["https://openalex.org/W2761624296","https://openalex.org/W4386994694","https://openalex.org/W4388738109","https://openalex.org/W2362901947","https://openalex.org/W1814814472","https://openalex.org/W2043058420","https://openalex.org/W2356674317","https://openalex.org/W2100724434","https://openalex.org/W2121442342","https://openalex.org/W1506477645"],"abstract_inverted_index":{"An":[0],"adaptive":[1],"control":[2,50],"scheme":[3],"based":[4],"on":[5],"iterative":[6],"signal":[7],"synthesis":[8],"is":[9,22,34,52],"called":[10],"\"learning":[11],"control.\"":[12],"Stability":[13],"condition":[14,27,59],"for":[15,28],"a":[16],"discrete":[17],"linear":[18],"time-varying":[19],"dynamic":[20],"system":[21,33,46],"analyzed,":[23],"and":[24,47,64],"the":[25,32,43,48,57],"explicit":[26],"asymptotical":[29],"stability":[30],"of":[31],"obtained.":[35],"Then":[36],"an":[37,61],"optimization":[38],"schemes":[39],"are":[40],"applied":[41],"to":[42,60],"proposed":[44],"learning":[45,49],"law":[51],"uniquely":[53],"identified.":[54],"We":[55],"apply":[56],"obtained":[58],"industrial":[62],"robot":[63],"discuss":[65],"its":[66],"performance.":[67]},"counts_by_year":[{"year":2013,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
