{"id":"https://openalex.org/W4385864657","doi":"https://doi.org/10.1109/tsmc.2023.3298511","title":"Dynamic Event-Triggered Model Predictive Control With Guaranteed Rigorous Satisfaction of Probabilistic Path Constraints","display_name":"Dynamic Event-Triggered Model Predictive Control With Guaranteed Rigorous Satisfaction of Probabilistic Path Constraints","publication_year":2023,"publication_date":"2023-08-16","ids":{"openalex":"https://openalex.org/W4385864657","doi":"https://doi.org/10.1109/tsmc.2023.3298511"},"language":"en","primary_location":{"id":"doi:10.1109/tsmc.2023.3298511","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tsmc.2023.3298511","pdf_url":null,"source":{"id":"https://openalex.org/S4210209078","display_name":"IEEE Transactions on Systems Man and Cybernetics Systems","issn_l":"2168-2216","issn":["2168-2216","2168-2232"],"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 Systems, Man, and Cybernetics: 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/A5037014156","display_name":"Yanhui Liu","orcid":"https://orcid.org/0000-0002-5896-844X"},"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":"Yanhui Liu","raw_affiliation_strings":["State Key Laboratory of Synthetical Automation for Process Industries, Northeastern University, Shenyang, China"],"raw_orcid":"https://orcid.org/0000-0002-5896-844X","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/A5042145194","display_name":"Jun Fu","orcid":"https://orcid.org/0000-0003-2196-3669"},"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":"Jun Fu","raw_affiliation_strings":["State Key Laboratory of Synthetical Automation for Process Industries, Northeastern University, Shenyang, China"],"raw_orcid":"https://orcid.org/0000-0003-2196-3669","affiliations":[{"raw_affiliation_string":"State Key Laboratory of Synthetical Automation for Process Industries, Northeastern University, Shenyang, China","institution_ids":["https://openalex.org/I9224756"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I9224756"],"apc_list":null,"apc_paid":null,"fwci":0.6543,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.68640594,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":"53","issue":"12","first_page":"7681","last_page":"7692"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10791","display_name":"Advanced Control Systems Optimization","score":1.0,"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/T10791","display_name":"Advanced Control Systems Optimization","score":1.0,"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/T10876","display_name":"Fault Detection and Control Systems","score":0.9987999796867371,"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/T11236","display_name":"Control Systems and Identification","score":0.9839000105857849,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/probabilistic-logic","display_name":"Probabilistic logic","score":0.8687918186187744},{"id":"https://openalex.org/keywords/path","display_name":"Path (computing)","score":0.6276853084564209},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.6229448318481445},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5434238910675049},{"id":"https://openalex.org/keywords/model-predictive-control","display_name":"Model predictive control","score":0.4316132068634033},{"id":"https://openalex.org/keywords/sampling","display_name":"Sampling (signal processing)","score":0.4251653552055359},{"id":"https://openalex.org/keywords/event","display_name":"Event (particle physics)","score":0.422532320022583},{"id":"https://openalex.org/keywords/control-theory","display_name":"Control theory (sociology)","score":0.3469619154930115},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3283005952835083},{"id":"https://openalex.org/keywords/control","display_name":"Control (management)","score":0.22799059748649597},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.1254568099975586}],"concepts":[{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.8687918186187744},{"id":"https://openalex.org/C2777735758","wikidata":"https://www.wikidata.org/wiki/Q817765","display_name":"Path (computing)","level":2,"score":0.6276853084564209},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.6229448318481445},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5434238910675049},{"id":"https://openalex.org/C172205157","wikidata":"https://www.wikidata.org/wiki/Q1782962","display_name":"Model predictive control","level":3,"score":0.4316132068634033},{"id":"https://openalex.org/C140779682","wikidata":"https://www.wikidata.org/wiki/Q210868","display_name":"Sampling (signal processing)","level":3,"score":0.4251653552055359},{"id":"https://openalex.org/C2779662365","wikidata":"https://www.wikidata.org/wiki/Q5416694","display_name":"Event (particle physics)","level":2,"score":0.422532320022583},{"id":"https://openalex.org/C47446073","wikidata":"https://www.wikidata.org/wiki/Q5165890","display_name":"Control theory (sociology)","level":3,"score":0.3469619154930115},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3283005952835083},{"id":"https://openalex.org/C2775924081","wikidata":"https://www.wikidata.org/wiki/Q55608371","display_name":"Control (management)","level":2,"score":0.22799059748649597},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.1254568099975586},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"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/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tsmc.2023.3298511","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tsmc.2023.3298511","pdf_url":null,"source":{"id":"https://openalex.org/S4210209078","display_name":"IEEE Transactions on Systems Man and Cybernetics Systems","issn_l":"2168-2216","issn":["2168-2216","2168-2232"],"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 Systems, Man, and Cybernetics: Systems","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G3488210548","display_name":null,"funder_award_id":"61825301","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"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":40,"referenced_works":["https://openalex.org/W48531559","https://openalex.org/W241118364","https://openalex.org/W560904894","https://openalex.org/W1516482466","https://openalex.org/W1527372386","https://openalex.org/W1586391043","https://openalex.org/W1608758704","https://openalex.org/W1974300932","https://openalex.org/W1978518835","https://openalex.org/W1978956894","https://openalex.org/W1981723834","https://openalex.org/W1982607076","https://openalex.org/W2018386036","https://openalex.org/W2019166202","https://openalex.org/W2025294776","https://openalex.org/W2025819131","https://openalex.org/W2038589630","https://openalex.org/W2041109651","https://openalex.org/W2084029876","https://openalex.org/W2088233472","https://openalex.org/W2094731495","https://openalex.org/W2134673975","https://openalex.org/W2249032529","https://openalex.org/W2316073065","https://openalex.org/W2523683999","https://openalex.org/W2557055507","https://openalex.org/W2765395770","https://openalex.org/W2791686386","https://openalex.org/W2810279203","https://openalex.org/W2898382450","https://openalex.org/W2944954869","https://openalex.org/W2953828271","https://openalex.org/W2964111918","https://openalex.org/W3013679533","https://openalex.org/W3109783321","https://openalex.org/W3123747878","https://openalex.org/W3140996856","https://openalex.org/W3212877690","https://openalex.org/W4223934310","https://openalex.org/W4396576743"],"related_works":["https://openalex.org/W1990079087","https://openalex.org/W3202234113","https://openalex.org/W2101188133","https://openalex.org/W4248731570","https://openalex.org/W2381210024","https://openalex.org/W2060165215","https://openalex.org/W2384015130","https://openalex.org/W4285595274","https://openalex.org/W81137451","https://openalex.org/W1519058190"],"abstract_inverted_index":{"Stochastic":[0],"model":[1],"predictive":[2],"control":[3,45,134],"(SMPC)":[4],"with":[5,75,166],"probabilistic":[6,20,56,80,88,115,121,142,200],"path":[7,21,57,81,89,143],"constraints":[8,58,90,144],"remains":[9],"an":[10],"open":[11],"and":[12,94,110,181,184],"challenging":[13],"issue":[14],"due":[15],"to":[16,38,85,156,222],"the":[17,29,32,48,55,64,111,114,141,150,173,192,198,206,211,224,227],"intractability":[18],"of":[19,79,117,175,210,226],"constraints,":[22,97],"let":[23],"alone":[24],"guarantee":[25],"rigorous":[26,77],"satisfaction.":[27],"For":[28],"SMPC":[30,74,125],"problem,":[31,66],"greatest":[33],"difficulty":[34],"lies":[35],"in":[36,47,208],"how":[37],"solve":[39],"a":[40,70,98,105,120,161,217],"finite":[41],"time":[42,152],"domain":[43],"optimal":[44],"problem":[46],"corresponding":[49],"sampling":[50,164],"step":[51],"while":[52],"ensuring":[53],"that":[54,191],"are":[59],"rigorously":[60,147],"satisfied.":[61],"Aiming":[62],"at":[63],"above":[65],"this":[67],"article":[68],"presents":[69],"new":[71],"method":[72],"for":[73,197],"guaranteed":[76],"satisfaction":[78],"constraints.":[82],"Specifically,":[83],"first,":[84],"convert":[86],"thorny":[87],"into":[91],"computationally":[92],"solvable":[93],"equivalent":[95],"deterministic":[96],"transformation":[99],"technique":[100],"is":[101,128,170,189,195,214,220],"proposed":[102,171,193,228],"by":[103,172],"utilizing":[104],"designed":[106,130],"ancillary":[107],"feedback":[108],"controller":[109],"information":[112],"on":[113],"distribution":[116],"disturbances.":[118],"Then,":[119],"path-constrained":[122,201],"dynamic":[123,168],"event-triggered":[124],"(DETSMPC)":[126],"algorithm":[127,194],"further":[129],"where":[131],"not":[132],"only":[133],"input":[135],"can":[136,145],"be":[137,146],"obtained":[138],"but":[139],"also":[140],"satisfied":[148],"over":[149],"entire":[151],"domain.":[153],"In":[154],"addition,":[155],"mitigate":[157],"redundant":[158],"computation":[159],"consumption,":[160],"novel":[162],"event-triggering":[163],"scheme":[165],"two":[167],"thresholds":[169],"virtue":[174],"prediction":[176],"horizon,":[177],"real-time":[178],"sampled":[179],"data,":[180],"previous":[182],"predicted":[183],"triggered":[185],"states.":[186],"Furthermore,":[187],"it":[188],"proved":[190],"feasible":[196],"overall":[199],"closed-loop":[202,212],"DETSMPC":[203],"system.":[204],"Moreover,":[205],"convergence":[207],"probability":[209],"system":[213],"presented.":[215],"Finally,":[216],"numerical":[218],"example":[219],"provided":[221],"illustrate":[223],"effectiveness":[225],"methods.":[229]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":1}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}