{"id":"https://openalex.org/W4287843347","doi":"https://doi.org/10.1109/cacre54574.2022.9834183","title":"Optimal Event-Triggered Impulsive Control for Stochastic Systems using ADP","display_name":"Optimal Event-Triggered Impulsive Control for Stochastic Systems using ADP","publication_year":2022,"publication_date":"2022-07-01","ids":{"openalex":"https://openalex.org/W4287843347","doi":"https://doi.org/10.1109/cacre54574.2022.9834183"},"language":"en","primary_location":{"id":"doi:10.1109/cacre54574.2022.9834183","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cacre54574.2022.9834183","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 7th International Conference on Automation, Control and Robotics Engineering (CACRE)","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/A5005187576","display_name":"Mingming Liang","orcid":"https://orcid.org/0000-0002-9299-4465"},"institutions":[{"id":"https://openalex.org/I139024713","display_name":"Guangdong University of Technology","ror":"https://ror.org/04azbjn80","country_code":"CN","type":"education","lineage":["https://openalex.org/I139024713"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Mingming Liang","raw_affiliation_strings":["Guangdong University of Technology,School of Automation,Guangzhou,China,510006"],"affiliations":[{"raw_affiliation_string":"Guangdong University of Technology,School of Automation,Guangzhou,China,510006","institution_ids":["https://openalex.org/I139024713"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5004057129","display_name":"Derong Liu","orcid":"https://orcid.org/0000-0003-3715-4778"},"institutions":[{"id":"https://openalex.org/I139024713","display_name":"Guangdong University of Technology","ror":"https://ror.org/04azbjn80","country_code":"CN","type":"education","lineage":["https://openalex.org/I139024713"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Derong Liu","raw_affiliation_strings":["Guangdong University of Technology,School of Automation,Guangzhou,China,510006"],"affiliations":[{"raw_affiliation_string":"Guangdong University of Technology,School of Automation,Guangzhou,China,510006","institution_ids":["https://openalex.org/I139024713"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5005187576"],"corresponding_institution_ids":["https://openalex.org/I139024713"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.10261828,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"1","issue":null,"first_page":"115","last_page":"120"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12794","display_name":"Adaptive Dynamic Programming Control","score":0.9998999834060669,"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"}},"topics":[{"id":"https://openalex.org/T12794","display_name":"Adaptive Dynamic Programming Control","score":0.9998999834060669,"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"}},{"id":"https://openalex.org/T12277","display_name":"Frequency Control in Power Systems","score":0.958299994468689,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic 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/T10675","display_name":"Mechanical Circulatory Support Devices","score":0.9244999885559082,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/dynamic-programming","display_name":"Dynamic programming","score":0.7808619737625122},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6913090944290161},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.5658470392227173},{"id":"https://openalex.org/keywords/bellman-equation","display_name":"Bellman equation","score":0.561061680316925},{"id":"https://openalex.org/keywords/controller","display_name":"Controller (irrigation)","score":0.5103101134300232},{"id":"https://openalex.org/keywords/event","display_name":"Event (particle physics)","score":0.499255895614624},{"id":"https://openalex.org/keywords/optimal-control","display_name":"Optimal control","score":0.4904041290283203},{"id":"https://openalex.org/keywords/control-theory","display_name":"Control theory (sociology)","score":0.4437291920185089},{"id":"https://openalex.org/keywords/stochastic-programming","display_name":"Stochastic programming","score":0.42280182242393494},{"id":"https://openalex.org/keywords/control","display_name":"Control (management)","score":0.36108219623565674},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.28199243545532227},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2031269669532776},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.0816735327243805}],"concepts":[{"id":"https://openalex.org/C37404715","wikidata":"https://www.wikidata.org/wiki/Q380679","display_name":"Dynamic programming","level":2,"score":0.7808619737625122},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6913090944290161},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.5658470392227173},{"id":"https://openalex.org/C14646407","wikidata":"https://www.wikidata.org/wiki/Q1430750","display_name":"Bellman equation","level":2,"score":0.561061680316925},{"id":"https://openalex.org/C203479927","wikidata":"https://www.wikidata.org/wiki/Q5165939","display_name":"Controller (irrigation)","level":2,"score":0.5103101134300232},{"id":"https://openalex.org/C2779662365","wikidata":"https://www.wikidata.org/wiki/Q5416694","display_name":"Event (particle physics)","level":2,"score":0.499255895614624},{"id":"https://openalex.org/C91575142","wikidata":"https://www.wikidata.org/wiki/Q1971426","display_name":"Optimal control","level":2,"score":0.4904041290283203},{"id":"https://openalex.org/C47446073","wikidata":"https://www.wikidata.org/wiki/Q5165890","display_name":"Control theory (sociology)","level":3,"score":0.4437291920185089},{"id":"https://openalex.org/C137631369","wikidata":"https://www.wikidata.org/wiki/Q7617831","display_name":"Stochastic programming","level":2,"score":0.42280182242393494},{"id":"https://openalex.org/C2775924081","wikidata":"https://www.wikidata.org/wiki/Q55608371","display_name":"Control (management)","level":2,"score":0.36108219623565674},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.28199243545532227},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2031269669532776},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.0816735327243805},{"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/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"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/C6557445","wikidata":"https://www.wikidata.org/wiki/Q173113","display_name":"Agronomy","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/cacre54574.2022.9834183","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cacre54574.2022.9834183","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 7th International Conference on Automation, Control and Robotics Engineering (CACRE)","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":25,"referenced_works":["https://openalex.org/W1891098503","https://openalex.org/W1950486977","https://openalex.org/W1982857276","https://openalex.org/W1983089547","https://openalex.org/W1999678919","https://openalex.org/W2035003264","https://openalex.org/W2038356517","https://openalex.org/W2048687352","https://openalex.org/W2475651303","https://openalex.org/W2515904005","https://openalex.org/W2518470966","https://openalex.org/W2561946193","https://openalex.org/W2570494446","https://openalex.org/W2779055119","https://openalex.org/W2904497903","https://openalex.org/W2921905705","https://openalex.org/W2944734899","https://openalex.org/W2949510088","https://openalex.org/W2998579696","https://openalex.org/W3008536234","https://openalex.org/W3044038295","https://openalex.org/W3087240003","https://openalex.org/W3114263192","https://openalex.org/W6781299294","https://openalex.org/W6783448701"],"related_works":["https://openalex.org/W4255265352","https://openalex.org/W4239477580","https://openalex.org/W175006096","https://openalex.org/W2090698372","https://openalex.org/W4383890581","https://openalex.org/W2965004901","https://openalex.org/W2921905705","https://openalex.org/W2379312070","https://openalex.org/W1932159282","https://openalex.org/W4285537323"],"abstract_inverted_index":{"In":[0],"this":[1],"paper,":[2],"a":[3,47],"novel":[4],"general-event-based":[5],"impulsive":[6,26,40,50,69,107],"transition":[7],"matrix":[8],"(GITM)":[9],"is":[10,59,91,141],"constructed,":[11],"which":[12],"can":[13,65,102],"reveal":[14],"the":[15,25,30,36,38,62,67,78,86,97,105,131,135,145,148],"probability":[16],"distribution":[17],"evolution":[18],"patterns":[19],"for":[20],"all":[21],"system":[22],"states":[23],"across":[24],"instants,":[27],"instead":[28],"of":[29,72,134,147],"regular":[31],"time":[32],"indexes.":[33],"Based":[34],"on":[35],"GITM,":[37],"event-triggered":[39,49],"adaptive":[41,51],"dynamic":[42,52],"programming":[43,53],"(ETIADP)":[44],"algorithm":[45,55,114],"and":[46,80,99,117],"high-efficiency":[48],"(HEIADP)":[54],"are":[56],"developed.":[57],"It":[58],"shown":[60],"that":[61,95],"proposed":[63,112],"methods":[64],"solve":[66],"optimal":[68,106],"control":[70],"problems":[71],"discrete":[73],"stochastic":[74],"systems,":[75],"while":[76],"reducing":[77,130],"computational":[79],"communication":[81],"burden":[82],"caused":[83],"by":[84],"updating":[85],"controller":[87],"periodically.":[88],"Convergency":[89],"analysis":[90],"provided":[92],"to":[93,104,126,143],"show":[94],"both":[96],"ETIADP":[98],"HEIADP":[100,113],"algorithms":[101],"converge":[103],"performance":[108],"index":[109],"function.":[110],"The":[111,138],"updates":[115],"policies":[116],"value":[118],"functions":[119],"partially":[120],"at":[121],"each":[122],"iteration":[123],"step":[124],"according":[125],"actual":[127],"hardware":[128],"constraints,":[129],"memory":[132],"consumption":[133],"ADP":[136],"implementation.":[137],"simulation":[139],"experiment":[140],"conducted":[142],"validate":[144],"effectiveness":[146],"developed":[149],"methods.":[150]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
