{"id":"https://openalex.org/W4417473696","doi":"https://doi.org/10.48550/arxiv.2512.14510","title":"Closed-Loop Consistent, Causal Data-Driven Predictive Control via SSARX","display_name":"Closed-Loop Consistent, Causal Data-Driven Predictive Control via SSARX","publication_year":2025,"publication_date":"2025-12-16","ids":{"openalex":"https://openalex.org/W4417473696","doi":"https://doi.org/10.48550/arxiv.2512.14510"},"language":null,"primary_location":{"id":"pmh:oai:arXiv.org:2512.14510","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2512.14510","pdf_url":"https://arxiv.org/pdf/2512.14510","source":{"id":"https://openalex.org/S4393918464","display_name":"ArXiv.org","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"type":"preprint","indexed_in":["arxiv","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2512.14510","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5046261892","display_name":"Aihui Liu","orcid":"https://orcid.org/0000-0002-0039-1713"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Liu, Aihui","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5019386542","display_name":"Magnus Jansson","orcid":"https://orcid.org/0000-0002-6855-5868"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Jansson, Magnus","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10791","display_name":"Advanced Control Systems Optimization","score":0.9469000101089478,"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":0.9469000101089478,"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":0.0210999995470047,"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/T10046","display_name":"Stability and Control of Uncertain Systems","score":0.007899999618530273,"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/model-predictive-control","display_name":"Model predictive control","score":0.6926000118255615},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.48919999599456787},{"id":"https://openalex.org/keywords/control-theory","display_name":"Control theory (sociology)","score":0.4684000015258789},{"id":"https://openalex.org/keywords/markov-process","display_name":"Markov process","score":0.4334000051021576},{"id":"https://openalex.org/keywords/scheme","display_name":"Scheme (mathematics)","score":0.43140000104904175},{"id":"https://openalex.org/keywords/markov-chain","display_name":"Markov chain","score":0.3449000120162964},{"id":"https://openalex.org/keywords/variable","display_name":"Variable (mathematics)","score":0.3343000113964081}],"concepts":[{"id":"https://openalex.org/C172205157","wikidata":"https://www.wikidata.org/wiki/Q1782962","display_name":"Model predictive control","level":3,"score":0.6926000118255615},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.48919999599456787},{"id":"https://openalex.org/C47446073","wikidata":"https://www.wikidata.org/wiki/Q5165890","display_name":"Control theory (sociology)","level":3,"score":0.4684000015258789},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.46140000224113464},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.44179999828338623},{"id":"https://openalex.org/C159886148","wikidata":"https://www.wikidata.org/wiki/Q176645","display_name":"Markov process","level":2,"score":0.4334000051021576},{"id":"https://openalex.org/C77618280","wikidata":"https://www.wikidata.org/wiki/Q1155772","display_name":"Scheme (mathematics)","level":2,"score":0.43140000104904175},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3463999927043915},{"id":"https://openalex.org/C98763669","wikidata":"https://www.wikidata.org/wiki/Q176645","display_name":"Markov chain","level":2,"score":0.3449000120162964},{"id":"https://openalex.org/C182365436","wikidata":"https://www.wikidata.org/wiki/Q50701","display_name":"Variable (mathematics)","level":2,"score":0.3343000113964081},{"id":"https://openalex.org/C2775924081","wikidata":"https://www.wikidata.org/wiki/Q55608371","display_name":"Control (management)","level":2,"score":0.3303000032901764},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3246999979019165},{"id":"https://openalex.org/C106189395","wikidata":"https://www.wikidata.org/wiki/Q176789","display_name":"Markov decision process","level":3,"score":0.30250000953674316},{"id":"https://openalex.org/C167928553","wikidata":"https://www.wikidata.org/wiki/Q1376021","display_name":"Estimation theory","level":2,"score":0.29589998722076416},{"id":"https://openalex.org/C2984634286","wikidata":"https://www.wikidata.org/wiki/Q1331926","display_name":"Decision process","level":2,"score":0.28290000557899475},{"id":"https://openalex.org/C2776537626","wikidata":"https://www.wikidata.org/wiki/Q4047883","display_name":"Long-term prediction","level":2,"score":0.28029999136924744},{"id":"https://openalex.org/C163836022","wikidata":"https://www.wikidata.org/wiki/Q6771326","display_name":"Markov model","level":3,"score":0.274399995803833},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.27399998903274536},{"id":"https://openalex.org/C155386361","wikidata":"https://www.wikidata.org/wiki/Q1649571","display_name":"Process control","level":3,"score":0.26460000872612}],"mesh":[],"locations_count":2,"locations":[{"id":"pmh:oai:arXiv.org:2512.14510","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2512.14510","pdf_url":"https://arxiv.org/pdf/2512.14510","source":{"id":"https://openalex.org/S4393918464","display_name":"ArXiv.org","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},{"id":"doi:10.48550/arxiv.2512.14510","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2512.14510","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"article"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2512.14510","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2512.14510","pdf_url":"https://arxiv.org/pdf/2512.14510","source":{"id":"https://openalex.org/S4393918464","display_name":"ArXiv.org","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4417473696.pdf"},"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"We":[0],"propose":[1],"a":[2,50,72,83,91],"fundamental-lemma-free":[3],"data-driven":[4],"predictive":[5,12],"control":[6,13],"(DDPC)":[7],"scheme":[8,55],"for":[9],"synthesizing":[10],"model":[11,75],"(MPC)-like":[14],"policies":[15],"directly":[16],"from":[17],"input-output":[18],"data.":[19],"Unlike":[20],"the":[21,42,58,78],"well-known":[22],"DeePC":[23,43],"approach":[24],"and":[25,41,130],"other":[26,120],"DDPC":[27,54],"methods":[28,121],"that":[29,115],"rely":[30],"on":[31,57],"Willems'":[32],"fundamental":[33],"lemma,":[34],"our":[35],"method":[36,64],"avoids":[37],"stacked":[38],"Hankel":[39],"representations":[40],"decision":[44],"variable":[45],"g.":[46],"Instead,":[47],"we":[48],"develop":[49],"closed-loop":[51,125],"consistent,":[52],"causal":[53],"based":[56],"multi-step":[59,84],"predictor":[60,96],"Subspace-ARX":[61],"(SSARX).":[62],"The":[63,94],"first":[65],"(i)":[66],"estimates":[67],"predictor/observer":[68],"Markov":[69],"parameters":[70],"via":[71],"high-order":[73],"ARX":[74],"to":[76,103,124],"decouple":[77],"noise,":[79],"then":[80],"(ii)":[81],"learns":[82],"past-to-future":[85],"map":[86],"by":[87,128],"regression,":[88],"optionally":[89],"with":[90,119],"reduced-rank":[92],"constraint.":[93],"SSARX":[95,116],"is":[97],"strictly":[98],"causal,":[99],"which":[100],"allows":[101],"it":[102],"be":[104],"integrated":[105],"naturally":[106],"into":[107],"an":[108],"MPC":[109],"formulation.":[110],"Our":[111],"experimental":[112],"results":[113],"show":[114],"performs":[117],"competitively":[118],"when":[122],"applied":[123],"data":[126],"affected":[127],"measurement":[129],"process":[131],"noise.":[132]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-12-18T00:00:00"}