{"id":"https://openalex.org/W3039074116","doi":"https://doi.org/10.1587/transfun.2019eap1154","title":"Control of Discrete-Time Chaotic Systems with Policy-Based Deep Reinforcement Learning","display_name":"Control of Discrete-Time Chaotic Systems with Policy-Based Deep Reinforcement Learning","publication_year":2020,"publication_date":"2020-06-30","ids":{"openalex":"https://openalex.org/W3039074116","doi":"https://doi.org/10.1587/transfun.2019eap1154","mag":"3039074116"},"language":"en","primary_location":{"id":"doi:10.1587/transfun.2019eap1154","is_oa":false,"landing_page_url":"https://doi.org/10.1587/transfun.2019eap1154","pdf_url":null,"source":{"id":"https://openalex.org/S166990724","display_name":"IEICE Transactions on Fundamentals of Electronics Communications and Computer Sciences","issn_l":"0916-8508","issn":["0916-8508","1745-1337"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4320800604","host_organization_name":"Institute of Electronics, Information and Communication Engineers","host_organization_lineage":["https://openalex.org/P4320800604"],"host_organization_lineage_names":["Institute of Electronics, Information and Communication Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences","raw_type":"journal-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/A5070836427","display_name":"Junya Ikemoto","orcid":"https://orcid.org/0000-0002-0145-3381"},"institutions":[{"id":"https://openalex.org/I98285908","display_name":"Osaka University","ror":"https://ror.org/035t8zc32","country_code":"JP","type":"education","lineage":["https://openalex.org/I98285908"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Junya IKEMOTO","raw_affiliation_strings":["Graduate School of Engineering Science, Osaka University"],"affiliations":[{"raw_affiliation_string":"Graduate School of Engineering Science, Osaka University","institution_ids":["https://openalex.org/I98285908"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5046686505","display_name":"Toshimitsu Ushio","orcid":"https://orcid.org/0000-0002-4009-270X"},"institutions":[{"id":"https://openalex.org/I98285908","display_name":"Osaka University","ror":"https://ror.org/035t8zc32","country_code":"JP","type":"education","lineage":["https://openalex.org/I98285908"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Toshimitsu USHIO","raw_affiliation_strings":["Graduate School of Engineering Science, Osaka University"],"affiliations":[{"raw_affiliation_string":"Graduate School of Engineering Science, Osaka University","institution_ids":["https://openalex.org/I98285908"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5070836427"],"corresponding_institution_ids":["https://openalex.org/I98285908"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.08009833,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"E103.A","issue":"7","first_page":"885","last_page":"892"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10244","display_name":"Chaos control and synchronization","score":0.9930999875068665,"subfield":{"id":"https://openalex.org/subfields/3109","display_name":"Statistical and Nonlinear Physics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10244","display_name":"Chaos control and synchronization","score":0.9930999875068665,"subfield":{"id":"https://openalex.org/subfields/3109","display_name":"Statistical and Nonlinear Physics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10462","display_name":"Reinforcement Learning in Robotics","score":0.9897000193595886,"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/T12611","display_name":"Neural Networks and Reservoir Computing","score":0.9857000112533569,"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/reinforcement-learning","display_name":"Reinforcement learning","score":0.8138587474822998},{"id":"https://openalex.org/keywords/chaotic","display_name":"Chaotic","score":0.7431865930557251},{"id":"https://openalex.org/keywords/control-theory","display_name":"Control theory (sociology)","score":0.7203494310379028},{"id":"https://openalex.org/keywords/controller","display_name":"Controller (irrigation)","score":0.7173722386360168},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6672742962837219},{"id":"https://openalex.org/keywords/attractor","display_name":"Attractor","score":0.6171077489852905},{"id":"https://openalex.org/keywords/control","display_name":"Control (management)","score":0.46665048599243164},{"id":"https://openalex.org/keywords/discrete-time-and-continuous-time","display_name":"Discrete time and continuous time","score":0.4568723738193512},{"id":"https://openalex.org/keywords/control-engineering","display_name":"Control engineering","score":0.36862123012542725},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.24640032649040222},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.21460846066474915},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.12867134809494019}],"concepts":[{"id":"https://openalex.org/C97541855","wikidata":"https://www.wikidata.org/wiki/Q830687","display_name":"Reinforcement learning","level":2,"score":0.8138587474822998},{"id":"https://openalex.org/C2777052490","wikidata":"https://www.wikidata.org/wiki/Q5072826","display_name":"Chaotic","level":2,"score":0.7431865930557251},{"id":"https://openalex.org/C47446073","wikidata":"https://www.wikidata.org/wiki/Q5165890","display_name":"Control theory (sociology)","level":3,"score":0.7203494310379028},{"id":"https://openalex.org/C203479927","wikidata":"https://www.wikidata.org/wiki/Q5165939","display_name":"Controller (irrigation)","level":2,"score":0.7173722386360168},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6672742962837219},{"id":"https://openalex.org/C164380108","wikidata":"https://www.wikidata.org/wiki/Q507187","display_name":"Attractor","level":2,"score":0.6171077489852905},{"id":"https://openalex.org/C2775924081","wikidata":"https://www.wikidata.org/wiki/Q55608371","display_name":"Control (management)","level":2,"score":0.46665048599243164},{"id":"https://openalex.org/C55689738","wikidata":"https://www.wikidata.org/wiki/Q15963867","display_name":"Discrete time and continuous time","level":2,"score":0.4568723738193512},{"id":"https://openalex.org/C133731056","wikidata":"https://www.wikidata.org/wiki/Q4917288","display_name":"Control engineering","level":1,"score":0.36862123012542725},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.24640032649040222},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.21460846066474915},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.12867134809494019},{"id":"https://openalex.org/C6557445","wikidata":"https://www.wikidata.org/wiki/Q173113","display_name":"Agronomy","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1587/transfun.2019eap1154","is_oa":false,"landing_page_url":"https://doi.org/10.1587/transfun.2019eap1154","pdf_url":null,"source":{"id":"https://openalex.org/S166990724","display_name":"IEICE Transactions on Fundamentals of Electronics Communications and Computer Sciences","issn_l":"0916-8508","issn":["0916-8508","1745-1337"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4320800604","host_organization_name":"Institute of Electronics, Information and Communication Engineers","host_organization_lineage":["https://openalex.org/P4320800604"],"host_organization_lineage_names":["Institute of Electronics, Information and Communication Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":23,"referenced_works":["https://openalex.org/W314351104","https://openalex.org/W1522301498","https://openalex.org/W1547241296","https://openalex.org/W1554014592","https://openalex.org/W1967525281","https://openalex.org/W1968980724","https://openalex.org/W1986149778","https://openalex.org/W1999549244","https://openalex.org/W2010150441","https://openalex.org/W2013222032","https://openalex.org/W2017957151","https://openalex.org/W2026814241","https://openalex.org/W2068551947","https://openalex.org/W2108243184","https://openalex.org/W2121375545","https://openalex.org/W2145339207","https://openalex.org/W2165150801","https://openalex.org/W2173248099","https://openalex.org/W2257979135","https://openalex.org/W2340299227","https://openalex.org/W2985728346","https://openalex.org/W3100789280","https://openalex.org/W4251015067"],"related_works":["https://openalex.org/W2379488025","https://openalex.org/W2318462079","https://openalex.org/W2585728124","https://openalex.org/W2169362996","https://openalex.org/W2340294931","https://openalex.org/W2565482338","https://openalex.org/W2082884906","https://openalex.org/W3014531371","https://openalex.org/W2377705019","https://openalex.org/W2001163940"],"abstract_inverted_index":{"The":[0,156],"OGY":[1],"method":[2,33,128],"is":[3,59],"one":[4],"of":[5,42,93,130],"control":[6,55,120,151,161],"methods":[7],"for":[8,96,153],"a":[9,19,38,75,86,94,125,136,139],"chaotic":[10,26,44,98],"system.":[11,99],"In":[12,49],"the":[13,35,43,52,64,70,80,91,97,146,165],"method,":[14],"we":[15,29,68,84,134],"have":[16,108],"to":[17,73,90,119],"calculate":[18],"target":[20,140],"periodic":[21,81,141],"orbit":[22],"embedded":[23],"in":[24,34,63,164],"its":[25,154,160],"attractor.":[27],"Thus,":[28,83],"cannot":[30,46],"use":[31],"this":[32,50],"case":[36],"where":[37,133],"precise":[39],"mathematical":[40,71],"model":[41,72],"system":[45],"be":[47],"identified.":[48],"case,":[51],"delayed":[53,65],"feedback":[54,66,76],"proposed":[56],"by":[57],"Pyragas":[58],"useful.":[60],"However,":[61],"even":[62],"control,":[67],"need":[69],"determine":[74,135],"gain":[77],"that":[78],"stabilizes":[79],"orbit.":[82],"propose":[85,124],"reinforcement":[87,101],"learning":[88,102],"algorithm":[89],"design":[92,127],"controller":[95,126,147,157],"Recently,":[100],"algorithms":[103,115],"with":[104],"deep":[105],"neural":[106],"networks":[107],"been":[109],"paid":[110],"much":[111],"attention":[112],"to.":[113],"Those":[114],"make":[116,145],"it":[117],"possible":[118],"complex":[121],"systems.":[122],"We":[123],"consisting":[129],"two":[131],"steps,":[132],"region":[137],"including":[138],"point":[142],"first,":[143],"and":[144],"learn":[148],"an":[149],"optimal":[150],"policy":[152,162],"stabilization.":[155],"efficiently":[158],"explores":[159],"only":[163],"region.":[166]},"counts_by_year":[{"year":2024,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
