{"id":"https://openalex.org/W4293212004","doi":"https://doi.org/10.1109/tcns.2022.3186623","title":"Event-Triggered Robust Adaptive Dynamic Programming With Output Feedback for Large-Scale Systems","display_name":"Event-Triggered Robust Adaptive Dynamic Programming With Output Feedback for Large-Scale Systems","publication_year":2022,"publication_date":"2022-06-27","ids":{"openalex":"https://openalex.org/W4293212004","doi":"https://doi.org/10.1109/tcns.2022.3186623"},"language":"en","primary_location":{"id":"doi:10.1109/tcns.2022.3186623","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcns.2022.3186623","pdf_url":null,"source":{"id":"https://openalex.org/S2502544478","display_name":"IEEE Transactions on Control of Network Systems","issn_l":"2325-5870","issn":["2325-5870","2372-2533"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Control of Network Systems","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/A5010164524","display_name":"Fuyu Zhao","orcid":"https://orcid.org/0000-0003-4044-8849"},"institutions":[{"id":"https://openalex.org/I80143920","display_name":"Shandong University of Science and Technology","ror":"https://ror.org/04gtjhw98","country_code":"CN","type":"education","lineage":["https://openalex.org/I80143920"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fuyu Zhao","raw_affiliation_strings":["College of Electrical Engineering and Automation, Shandong University of Science and Technology, Qingdao, China"],"raw_orcid":"https://orcid.org/0000-0003-4044-8849","affiliations":[{"raw_affiliation_string":"College of Electrical Engineering and Automation, Shandong University of Science and Technology, Qingdao, China","institution_ids":["https://openalex.org/I80143920"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5040120960","display_name":"Weinan Gao","orcid":"https://orcid.org/0000-0001-7921-018X"},"institutions":[{"id":"https://openalex.org/I106959904","display_name":"Florida Institute of Technology","ror":"https://ror.org/04atsbb87","country_code":"US","type":"education","lineage":["https://openalex.org/I106959904"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Weinan Gao","raw_affiliation_strings":["Department of Mechanical and Civil Engineering, College of Engineering and Science, Florida Institute of Technology, Melbourne, FL, USA"],"raw_orcid":"https://orcid.org/0000-0001-7921-018X","affiliations":[{"raw_affiliation_string":"Department of Mechanical and Civil Engineering, College of Engineering and Science, Florida Institute of Technology, Melbourne, FL, USA","institution_ids":["https://openalex.org/I106959904"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100726342","display_name":"Tengfei Liu","orcid":"https://orcid.org/0000-0002-3969-7605"},"institutions":[{"id":"https://openalex.org/I9224756","display_name":"Northeastern University","ror":"https://ror.org/03awzbc87","country_code":"CN","type":"education","lineage":["https://openalex.org/I9224756"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tengfei Liu","raw_affiliation_strings":["State Key Laboratory of Synthetical Automation for Process Industries, Northeastern University, Shenyang, China"],"raw_orcid":"https://orcid.org/0000-0002-3969-7605","affiliations":[{"raw_affiliation_string":"State Key Laboratory of Synthetical Automation for Process Industries, Northeastern University, Shenyang, China","institution_ids":["https://openalex.org/I9224756"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5067046312","display_name":"Zhong\u2010Ping Jiang","orcid":"https://orcid.org/0000-0002-4868-9359"},"institutions":[{"id":"https://openalex.org/I57206974","display_name":"New York University","ror":"https://ror.org/0190ak572","country_code":"US","type":"education","lineage":["https://openalex.org/I57206974"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Zhong-Ping Jiang","raw_affiliation_strings":["Department of Electrical and Computer Engineering, New York University, Brooklyn, NY, USA"],"raw_orcid":"https://orcid.org/0000-0002-4868-9359","affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, New York University, Brooklyn, NY, USA","institution_ids":["https://openalex.org/I57206974"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":4.7417,"has_fulltext":false,"cited_by_count":34,"citation_normalized_percentile":{"value":0.95675233,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":100},"biblio":{"volume":"10","issue":"1","first_page":"63","last_page":"74"},"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":0.9934999942779541,"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/T10305","display_name":"Power System Optimization and Stability","score":0.9908999800682068,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/control-theory","display_name":"Control theory (sociology)","score":0.7982271909713745},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6368761658668518},{"id":"https://openalex.org/keywords/parametric-statistics","display_name":"Parametric statistics","score":0.6162899136543274},{"id":"https://openalex.org/keywords/dynamic-programming","display_name":"Dynamic programming","score":0.5839331746101379},{"id":"https://openalex.org/keywords/adaptive-control","display_name":"Adaptive control","score":0.5387637615203857},{"id":"https://openalex.org/keywords/stability","display_name":"Stability (learning theory)","score":0.48075219988822937},{"id":"https://openalex.org/keywords/observer","display_name":"Observer (physics)","score":0.4799347519874573},{"id":"https://openalex.org/keywords/convergence","display_name":"Convergence (economics)","score":0.4686149060726166},{"id":"https://openalex.org/keywords/lyapunov-function","display_name":"Lyapunov function","score":0.4536834955215454},{"id":"https://openalex.org/keywords/robust-control","display_name":"Robust control","score":0.44193077087402344},{"id":"https://openalex.org/keywords/lyapunov-stability","display_name":"Lyapunov stability","score":0.43895524740219116},{"id":"https://openalex.org/keywords/control-engineering","display_name":"Control engineering","score":0.4262978136539459},{"id":"https://openalex.org/keywords/control-system","display_name":"Control system","score":0.36861276626586914},{"id":"https://openalex.org/keywords/control","display_name":"Control (management)","score":0.2932542562484741},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.20177128911018372},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.19591867923736572},{"id":"https://openalex.org/keywords/nonlinear-system","display_name":"Nonlinear system","score":0.1568196713924408},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.10716614127159119},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.0849919319152832}],"concepts":[{"id":"https://openalex.org/C47446073","wikidata":"https://www.wikidata.org/wiki/Q5165890","display_name":"Control theory (sociology)","level":3,"score":0.7982271909713745},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6368761658668518},{"id":"https://openalex.org/C117251300","wikidata":"https://www.wikidata.org/wiki/Q1849855","display_name":"Parametric statistics","level":2,"score":0.6162899136543274},{"id":"https://openalex.org/C37404715","wikidata":"https://www.wikidata.org/wiki/Q380679","display_name":"Dynamic programming","level":2,"score":0.5839331746101379},{"id":"https://openalex.org/C107464732","wikidata":"https://www.wikidata.org/wiki/Q235781","display_name":"Adaptive control","level":3,"score":0.5387637615203857},{"id":"https://openalex.org/C112972136","wikidata":"https://www.wikidata.org/wiki/Q7595718","display_name":"Stability (learning theory)","level":2,"score":0.48075219988822937},{"id":"https://openalex.org/C2780704645","wikidata":"https://www.wikidata.org/wiki/Q9251458","display_name":"Observer (physics)","level":2,"score":0.4799347519874573},{"id":"https://openalex.org/C2777303404","wikidata":"https://www.wikidata.org/wiki/Q759757","display_name":"Convergence (economics)","level":2,"score":0.4686149060726166},{"id":"https://openalex.org/C60640748","wikidata":"https://www.wikidata.org/wiki/Q2337858","display_name":"Lyapunov function","level":3,"score":0.4536834955215454},{"id":"https://openalex.org/C31531917","wikidata":"https://www.wikidata.org/wiki/Q915157","display_name":"Robust control","level":3,"score":0.44193077087402344},{"id":"https://openalex.org/C2776829284","wikidata":"https://www.wikidata.org/wiki/Q1341651","display_name":"Lyapunov stability","level":3,"score":0.43895524740219116},{"id":"https://openalex.org/C133731056","wikidata":"https://www.wikidata.org/wiki/Q4917288","display_name":"Control engineering","level":1,"score":0.4262978136539459},{"id":"https://openalex.org/C17500928","wikidata":"https://www.wikidata.org/wiki/Q959968","display_name":"Control system","level":2,"score":0.36861276626586914},{"id":"https://openalex.org/C2775924081","wikidata":"https://www.wikidata.org/wiki/Q55608371","display_name":"Control (management)","level":2,"score":0.2932542562484741},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.20177128911018372},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.19591867923736572},{"id":"https://openalex.org/C158622935","wikidata":"https://www.wikidata.org/wiki/Q660848","display_name":"Nonlinear system","level":2,"score":0.1568196713924408},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.10716614127159119},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.0849919319152832},{"id":"https://openalex.org/C50522688","wikidata":"https://www.wikidata.org/wiki/Q189833","display_name":"Economic growth","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},{"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/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","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/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tcns.2022.3186623","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcns.2022.3186623","pdf_url":null,"source":{"id":"https://openalex.org/S2502544478","display_name":"IEEE Transactions on Control of Network Systems","issn_l":"2325-5870","issn":["2325-5870","2372-2533"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Control of Network Systems","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G3167315294","display_name":null,"funder_award_id":"U1911401","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4165100859","display_name":null,"funder_award_id":"CMMI-2138206","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G4707757447","display_name":null,"funder_award_id":"61633007","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7241937758","display_name":null,"funder_award_id":"EPCN-1903781","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"},{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":37,"referenced_works":["https://openalex.org/W13811575","https://openalex.org/W560518094","https://openalex.org/W1573503290","https://openalex.org/W1595466107","https://openalex.org/W1685524015","https://openalex.org/W1763243278","https://openalex.org/W2005437559","https://openalex.org/W2011866373","https://openalex.org/W2019338681","https://openalex.org/W2038137192","https://openalex.org/W2043056845","https://openalex.org/W2055572820","https://openalex.org/W2065612445","https://openalex.org/W2100409338","https://openalex.org/W2127863965","https://openalex.org/W2164894752","https://openalex.org/W2165174383","https://openalex.org/W2317290577","https://openalex.org/W2473265833","https://openalex.org/W2480536132","https://openalex.org/W2509783950","https://openalex.org/W2581782641","https://openalex.org/W2605628695","https://openalex.org/W2792583192","https://openalex.org/W2808267396","https://openalex.org/W2982570199","https://openalex.org/W2999863957","https://openalex.org/W3006414217","https://openalex.org/W3008568314","https://openalex.org/W3091794548","https://openalex.org/W3095090516","https://openalex.org/W3111531580","https://openalex.org/W4213122800","https://openalex.org/W4301886962","https://openalex.org/W4388319978","https://openalex.org/W6601711122","https://openalex.org/W6634288218"],"related_works":["https://openalex.org/W2108470770","https://openalex.org/W1512021029","https://openalex.org/W1934622834","https://openalex.org/W1972862722","https://openalex.org/W2372856383","https://openalex.org/W2015036175","https://openalex.org/W2281732014","https://openalex.org/W2063351494","https://openalex.org/W1562326332","https://openalex.org/W2319803529"],"abstract_inverted_index":{"In":[0],"this":[1],"article,":[2],"an":[3,58],"event-triggered":[4],"output-feedback":[5],"adaptive":[6,22],"optimal":[7],"control":[8,56,61],"approach":[9],"is":[10,63,103],"proposed":[11,81,111],"for":[12],"large-scale":[13],"systems":[14,99],"with":[15,100],"parametric":[16],"and":[17,25,32,51,69,76,90],"dynamic":[18,23],"uncertainties":[19],"through":[20],"robust":[21],"programming":[24],"small-gain":[26,91],"techniques.":[27,92],"By":[28],"using":[29,86],"the":[30,35,48,53,77,80,107,110],"input":[31],"output":[33],"data,":[34],"unmeasurable":[36],"states":[37],"are":[38,83],"reconstructed":[39],"instead":[40],"of":[41,55,79,96,109],"designing":[42],"a":[43],"Luenberger":[44],"observer.":[45],"To":[46],"save":[47],"communication":[49],"resources":[50],"reduce":[52],"number":[54],"updates,":[57],"event-based":[59],"feedback":[60],"policy":[62,67],"learned":[64],"based":[65],"on":[66],"iteration":[68],"value":[70],"iteration,":[71],"respectively.":[72],"The":[73],"closed-loop":[74],"stability":[75,88],"convergence":[78],"algorithms":[82],"analyzed":[84],"by":[85],"Lyapunov":[87],"theory":[89],"A":[93],"practical":[94],"example":[95],"multimachine":[97],"power":[98],"governor":[101],"controllers":[102],"given":[104],"to":[105],"demonstrate":[106],"effectiveness":[108],"methods.":[112]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":15},{"year":2024,"cited_by_count":11},{"year":2023,"cited_by_count":7}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}