{"id":"https://openalex.org/W4280576791","doi":"https://doi.org/10.1109/lcsys.2022.3199940","title":"Recursively Feasible Data-Driven Distributionally Robust Model Predictive Control With Additive Disturbances","display_name":"Recursively Feasible Data-Driven Distributionally Robust Model Predictive Control With Additive Disturbances","publication_year":2022,"publication_date":"2022-08-25","ids":{"openalex":"https://openalex.org/W4280576791","doi":"https://doi.org/10.1109/lcsys.2022.3199940"},"language":"en","primary_location":{"id":"doi:10.1109/lcsys.2022.3199940","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lcsys.2022.3199940","pdf_url":null,"source":{"id":"https://openalex.org/S4306422535","display_name":"IEEE Control Systems Letters","issn_l":"2475-1456","issn":["2475-1456"],"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 Control Systems Letters","raw_type":"journal-article"},"type":"article","indexed_in":["arxiv","crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2205.04146","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5082924732","display_name":"Christoph Mark","orcid":"https://orcid.org/0000-0002-5275-9428"},"institutions":[{"id":"https://openalex.org/I153267046","display_name":"University of Kaiserslautern","ror":"https://ror.org/04zrf7b53","country_code":"DE","type":"education","lineage":["https://openalex.org/I153267046"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Christoph Mark","raw_affiliation_strings":["Department of Electrical and Computer Engineering, University of Kaiserslautern, Institute of Control Systems, Kaiserslautern, Germany"],"raw_orcid":"https://orcid.org/0000-0002-5275-9428","affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, University of Kaiserslautern, Institute of Control Systems, Kaiserslautern, Germany","institution_ids":["https://openalex.org/I153267046"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5010945720","display_name":"Steven Liu","orcid":"https://orcid.org/0000-0002-3407-2745"},"institutions":[{"id":"https://openalex.org/I153267046","display_name":"University of Kaiserslautern","ror":"https://ror.org/04zrf7b53","country_code":"DE","type":"education","lineage":["https://openalex.org/I153267046"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Steven Liu","raw_affiliation_strings":["Department of Electrical and Computer Engineering, University of Kaiserslautern, Institute of Control Systems, Kaiserslautern, Germany"],"raw_orcid":"https://orcid.org/0000-0002-3407-2745","affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, University of Kaiserslautern, Institute of Control Systems, Kaiserslautern, Germany","institution_ids":["https://openalex.org/I153267046"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I153267046"],"apc_list":null,"apc_paid":null,"fwci":0.9383,"has_fulltext":false,"cited_by_count":9,"citation_normalized_percentile":{"value":0.72635128,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":98},"biblio":{"volume":"7","issue":null,"first_page":"526","last_page":"531"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10791","display_name":"Advanced Control Systems Optimization","score":0.9998999834060669,"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":0.9998999834060669,"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":0.9965999722480774,"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":0.9965999722480774,"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/moment","display_name":"Moment (physics)","score":0.652025043964386},{"id":"https://openalex.org/keywords/model-predictive-control","display_name":"Model predictive control","score":0.651578962802887},{"id":"https://openalex.org/keywords/affine-transformation","display_name":"Affine transformation","score":0.6259893178939819},{"id":"https://openalex.org/keywords/ambiguity","display_name":"Ambiguity","score":0.6160406470298767},{"id":"https://openalex.org/keywords/constraint","display_name":"Constraint (computer-aided design)","score":0.6067913174629211},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.5842931866645813},{"id":"https://openalex.org/keywords/control-theory","display_name":"Control theory (sociology)","score":0.5830950736999512},{"id":"https://openalex.org/keywords/constraint-satisfaction","display_name":"Constraint satisfaction","score":0.5369685888290405},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5258760452270508},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5131807923316956},{"id":"https://openalex.org/keywords/data-driven","display_name":"Data-driven","score":0.4816407263278961},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.41264042258262634},{"id":"https://openalex.org/keywords/control","display_name":"Control (management)","score":0.35189658403396606},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.14441508054733276}],"concepts":[{"id":"https://openalex.org/C179254644","wikidata":"https://www.wikidata.org/wiki/Q13222844","display_name":"Moment (physics)","level":2,"score":0.652025043964386},{"id":"https://openalex.org/C172205157","wikidata":"https://www.wikidata.org/wiki/Q1782962","display_name":"Model predictive control","level":3,"score":0.651578962802887},{"id":"https://openalex.org/C92757383","wikidata":"https://www.wikidata.org/wiki/Q382497","display_name":"Affine transformation","level":2,"score":0.6259893178939819},{"id":"https://openalex.org/C2780522230","wikidata":"https://www.wikidata.org/wiki/Q1140419","display_name":"Ambiguity","level":2,"score":0.6160406470298767},{"id":"https://openalex.org/C2776036281","wikidata":"https://www.wikidata.org/wiki/Q48769818","display_name":"Constraint (computer-aided design)","level":2,"score":0.6067913174629211},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.5842931866645813},{"id":"https://openalex.org/C47446073","wikidata":"https://www.wikidata.org/wiki/Q5165890","display_name":"Control theory (sociology)","level":3,"score":0.5830950736999512},{"id":"https://openalex.org/C44616089","wikidata":"https://www.wikidata.org/wiki/Q30158686","display_name":"Constraint satisfaction","level":3,"score":0.5369685888290405},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5258760452270508},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5131807923316956},{"id":"https://openalex.org/C2780440489","wikidata":"https://www.wikidata.org/wiki/Q5227278","display_name":"Data-driven","level":2,"score":0.4816407263278961},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.41264042258262634},{"id":"https://openalex.org/C2775924081","wikidata":"https://www.wikidata.org/wiki/Q55608371","display_name":"Control (management)","level":2,"score":0.35189658403396606},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.14441508054733276},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0},{"id":"https://openalex.org/C74650414","wikidata":"https://www.wikidata.org/wiki/Q11397","display_name":"Classical mechanics","level":1,"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/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","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}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/lcsys.2022.3199940","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lcsys.2022.3199940","pdf_url":null,"source":{"id":"https://openalex.org/S4306422535","display_name":"IEEE Control Systems Letters","issn_l":"2475-1456","issn":["2475-1456"],"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 Control Systems Letters","raw_type":"journal-article"},{"id":"pmh:oai:arXiv.org:2205.04146","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2205.04146","pdf_url":"https://arxiv.org/pdf/2205.04146","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":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2205.04146","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2205.04146","pdf_url":"https://arxiv.org/pdf/2205.04146","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":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":25,"referenced_works":["https://openalex.org/W1855555568","https://openalex.org/W1967729795","https://openalex.org/W1968355947","https://openalex.org/W1981723834","https://openalex.org/W2038582600","https://openalex.org/W2164899006","https://openalex.org/W2300548493","https://openalex.org/W2399440847","https://openalex.org/W2536620281","https://openalex.org/W2804964303","https://openalex.org/W2968009374","https://openalex.org/W3040274799","https://openalex.org/W3123732366","https://openalex.org/W3134979093","https://openalex.org/W3154505737","https://openalex.org/W3186660144","https://openalex.org/W3186992617","https://openalex.org/W3201284918","https://openalex.org/W4225693662","https://openalex.org/W4246038204","https://openalex.org/W4285176499","https://openalex.org/W4287991264","https://openalex.org/W6766132365","https://openalex.org/W6772139735","https://openalex.org/W6801679602"],"related_works":["https://openalex.org/W2353179089","https://openalex.org/W2923538289","https://openalex.org/W2353125546","https://openalex.org/W2470643824","https://openalex.org/W2767128392","https://openalex.org/W4205300464","https://openalex.org/W4388544262","https://openalex.org/W3215978723","https://openalex.org/W3085055827","https://openalex.org/W3158956592"],"abstract_inverted_index":{"In":[0],"this":[1],"letter":[2,82],"we":[3,60],"propose":[4],"a":[5,28,37,45,62,85],"data-driven":[6,50],"distributionally":[7],"robust":[8],"Model":[9],"Predictive":[10],"Control":[11],"framework":[12],"for":[13,52],"constrained":[14],"stochastic":[15],"systems":[16],"with":[17,36,49,84],"unbounded":[18],"additive":[19],"disturbances.":[20],"Recursive":[21],"feasibility":[22],"is":[23],"ensured":[24],"by":[25],"optimizing":[26],"over":[27],"linearly":[29],"interpolated":[30],"initial":[31],"state":[32],"constraint":[33,94],"in":[34,67],"combination":[35],"simplified":[38],"affine":[39],"disturbance":[40],"feedback":[41],"policy.":[42],"We":[43],"consider":[44],"moment-based":[46],"ambiguity":[47],"set":[48],"radius":[51],"the":[53,57,75,89],"second":[54],"moment":[55],"of":[56,65],"disturbance,":[58],"where":[59],"derive":[61],"minimum":[63],"number":[64],"samples":[66],"order":[68],"to":[69],"ensure":[70],"user-given":[71],"confidence":[72],"bounds":[73],"on":[74,97],"chance":[76,93],"constraints":[77],"and":[78,92],"closed-loop":[79],"performance.":[80],"This":[81],"closes":[83],"numerical":[86],"example,":[87],"highlighting":[88],"performance":[90],"gain":[91],"satisfaction":[95],"based":[96],"different":[98],"sample":[99],"sizes.":[100]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2024,"cited_by_count":5},{"year":2023,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}