{"id":"https://openalex.org/W4407735856","doi":"https://doi.org/10.1109/tcst.2025.3541179","title":"Causality-Informed Data-Driven Predictive Control","display_name":"Causality-Informed Data-Driven Predictive Control","publication_year":2025,"publication_date":"2025-02-19","ids":{"openalex":"https://openalex.org/W4407735856","doi":"https://doi.org/10.1109/tcst.2025.3541179"},"language":"en","primary_location":{"id":"doi:10.1109/tcst.2025.3541179","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcst.2025.3541179","pdf_url":null,"source":{"id":"https://openalex.org/S133363738","display_name":"IEEE Transactions on Control Systems Technology","issn_l":"1063-6536","issn":["1063-6536","1558-0865","2374-0159"],"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 Systems Technology","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/A5076297507","display_name":"Malika Sader","orcid":"https://orcid.org/0000-0002-3485-523X"},"institutions":[{"id":"https://openalex.org/I78675632","display_name":"Beijing Information Science & Technology University","ror":"https://ror.org/04xnqep60","country_code":"CN","type":"education","lineage":["https://openalex.org/I78675632"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Malika Sader","raw_affiliation_strings":["School of Automation and Beijing Key Laboratory of High Dynamic Navigation Technology, Beijing Information Science and Technology University, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-3485-523X","affiliations":[{"raw_affiliation_string":"School of Automation and Beijing Key Laboratory of High Dynamic Navigation Technology, Beijing Information Science and Technology University, Beijing, China","institution_ids":["https://openalex.org/I78675632"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5009598820","display_name":"Yibo Wang","orcid":"https://orcid.org/0000-0002-7358-2836"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yibo Wang","raw_affiliation_strings":["Department of Automation, Beijing National Research Center for Information Science and Technology, Tsinghua University, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-7358-2836","affiliations":[{"raw_affiliation_string":"Department of Automation, Beijing National Research Center for Information Science and Technology, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102961439","display_name":"Dexian Huang","orcid":"https://orcid.org/0000-0001-5717-8465"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dexian Huang","raw_affiliation_strings":["Department of Automation, Beijing National Research Center for Information Science and Technology, Tsinghua University, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0001-5717-8465","affiliations":[{"raw_affiliation_string":"Department of Automation, Beijing National Research Center for Information Science and Technology, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5029041038","display_name":"Chao Shang","orcid":"https://orcid.org/0000-0003-3905-4631"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chao Shang","raw_affiliation_strings":["Department of Automation, Beijing National Research Center for Information Science and Technology, Tsinghua University, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0003-3905-4631","affiliations":[{"raw_affiliation_string":"Department of Automation, Beijing National Research Center for Information Science and Technology, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100432851","display_name":"Biao Huang","orcid":"https://orcid.org/0000-0001-9082-2216"},"institutions":[{"id":"https://openalex.org/I154425047","display_name":"University of Alberta","ror":"https://ror.org/0160cpw27","country_code":"CA","type":"education","lineage":["https://openalex.org/I154425047"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Biao Huang","raw_affiliation_strings":["Department of Chemical and Materials Engineering, University of Alberta, Edmonton, AB, Canada"],"raw_orcid":"https://orcid.org/0000-0001-9082-2216","affiliations":[{"raw_affiliation_string":"Department of Chemical and Materials Engineering, University of Alberta, Edmonton, AB, Canada","institution_ids":["https://openalex.org/I154425047"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":8.5567,"has_fulltext":false,"cited_by_count":12,"citation_normalized_percentile":{"value":0.97872689,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":"33","issue":"5","first_page":"1921","last_page":"1928"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10791","display_name":"Advanced Control Systems Optimization","score":0.9944000244140625,"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":0.9944000244140625,"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":0.9944000244140625,"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/causality","display_name":"Causality (physics)","score":0.7677627801895142},{"id":"https://openalex.org/keywords/model-predictive-control","display_name":"Model predictive control","score":0.4816378653049469},{"id":"https://openalex.org/keywords/control","display_name":"Control (management)","score":0.46917277574539185},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.39922845363616943},{"id":"https://openalex.org/keywords/econometrics","display_name":"Econometrics","score":0.3648524880409241},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.22093495726585388},{"id":"https://openalex.org/keywords/economics","display_name":"Economics","score":0.17409521341323853},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.06654098629951477}],"concepts":[{"id":"https://openalex.org/C64357122","wikidata":"https://www.wikidata.org/wiki/Q1149766","display_name":"Causality (physics)","level":2,"score":0.7677627801895142},{"id":"https://openalex.org/C172205157","wikidata":"https://www.wikidata.org/wiki/Q1782962","display_name":"Model predictive control","level":3,"score":0.4816378653049469},{"id":"https://openalex.org/C2775924081","wikidata":"https://www.wikidata.org/wiki/Q55608371","display_name":"Control (management)","level":2,"score":0.46917277574539185},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.39922845363616943},{"id":"https://openalex.org/C149782125","wikidata":"https://www.wikidata.org/wiki/Q160039","display_name":"Econometrics","level":1,"score":0.3648524880409241},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.22093495726585388},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.17409521341323853},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.06654098629951477},{"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/tcst.2025.3541179","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcst.2025.3541179","pdf_url":null,"source":{"id":"https://openalex.org/S133363738","display_name":"IEEE Transactions on Control Systems Technology","issn_l":"1063-6536","issn":["1063-6536","1558-0865","2374-0159"],"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 Systems Technology","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G2668869714","display_name":null,"funder_award_id":"62327807","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4855993466","display_name":null,"funder_award_id":"62373211","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":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":24,"referenced_works":["https://openalex.org/W1531324864","https://openalex.org/W1972870800","https://openalex.org/W1983313164","https://openalex.org/W1999654112","https://openalex.org/W2071693778","https://openalex.org/W2078444284","https://openalex.org/W2111232193","https://openalex.org/W2148443868","https://openalex.org/W2769646558","https://openalex.org/W2967875632","https://openalex.org/W3084915321","https://openalex.org/W3119438804","https://openalex.org/W3199213028","https://openalex.org/W3213835390","https://openalex.org/W4210313760","https://openalex.org/W4285446133","https://openalex.org/W4310811189","https://openalex.org/W4318832060","https://openalex.org/W4360745415","https://openalex.org/W4388339703","https://openalex.org/W4388918498","https://openalex.org/W4389459186","https://openalex.org/W4390017888","https://openalex.org/W4402330907"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W1990079087","https://openalex.org/W3202234113","https://openalex.org/W2390279801","https://openalex.org/W2101188133","https://openalex.org/W4391913857","https://openalex.org/W2358668433","https://openalex.org/W2556120871"],"abstract_inverted_index":{"As":[0],"a":[1,55,70,90,104,136],"useful":[2],"and":[3,20,38,76,86,130,159],"efficient":[4],"alternative":[5],"to":[6,17,23,132],"generic":[7,108],"model-based":[8],"control":[9,13,37,41,83,134],"scheme,":[10],"data-driven":[11,36],"predictive":[12,40],"(DDPC)":[14],"is":[15,21,125],"subject":[16],"bias-variance":[18],"tradeoff":[19],"known":[22],"not":[24],"perform":[25],"desirably":[26],"in":[27,106,155],"face":[28],"of":[29,52,62,74,89,103,118,135],"uncertainty.":[30],"Through":[31],"the":[32,47,50,95,107,145],"connection":[33],"between":[34,82],"direct":[35],"subspace":[39],"(SPC),":[42],"we":[43,68],"gain":[44],"insight":[45],"into":[46],"reason":[48],"being":[49],"lack":[51],"causality":[53],"as":[54],"main":[56],"cause":[57],"for":[58,101],"their":[59],"high":[60],"variance":[61],"implicit":[63,87],"prediction.":[64],"In":[65],"this":[66],"brief,":[67],"derive":[69],"new":[71],"causality-informed":[72,97,116],"formulation":[73,117],"DDPC":[75,110,119],"its":[77],"regularized":[78],"form":[79],"that":[80,144],"balances":[81],"cost":[84],"minimization":[85],"identification":[88],"causal":[91],"multistep":[92],"predictor.":[93],"Since":[94],"proposed":[96,146],"formulations":[98,154],"only":[99],"call":[100],"block-triangularization":[102],"submatrix":[105],"noncausal":[109],"based":[111],"on":[112],"LQ":[113],"factorization,":[114],"our":[115],"enjoys":[120],"computational":[121],"efficiency.":[122],"Its":[123],"efficacy":[124],"investigated":[126],"through":[127],"numerical":[128],"examples":[129],"application":[131],"model-free":[133],"simulated":[137],"industrial":[138],"heating":[139],"furnace.":[140],"Empirical":[141],"results":[142],"corroborate":[143],"method":[147],"yields":[148],"obvious":[149],"performance":[150],"improvement":[151],"over":[152],"existing":[153],"handling":[156],"stochastic":[157],"noise":[158],"process":[160],"nonlinearity.":[161]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":8},{"year":2024,"cited_by_count":1}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}
