{"id":"https://openalex.org/W2952215314","doi":"https://doi.org/10.1109/lcsys.2019.2913347","title":"Performance-Oriented Model Learning for Data-Driven MPC Design","display_name":"Performance-Oriented Model Learning for Data-Driven MPC Design","publication_year":2019,"publication_date":"2019-04-25","ids":{"openalex":"https://openalex.org/W2952215314","doi":"https://doi.org/10.1109/lcsys.2019.2913347","mag":"2952215314"},"language":"en","primary_location":{"id":"doi:10.1109/lcsys.2019.2913347","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lcsys.2019.2913347","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/1904.10839","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Dario Piga","orcid":"https://orcid.org/0000-0001-7691-4886"},"institutions":[{"id":"https://openalex.org/I15196421","display_name":"University of Applied Sciences and Arts of Southern Switzerland","ror":"https://ror.org/05ep8g269","country_code":"CH","type":"education","lineage":["https://openalex.org/I15196421"]},{"id":"https://openalex.org/I2614128279","display_name":"Dalle Molle Institute for Artificial Intelligence Research","ror":"https://ror.org/013355g38","country_code":"CH","type":"facility","lineage":["https://openalex.org/I15196421","https://openalex.org/I2614128279","https://openalex.org/I57201433"]}],"countries":["CH"],"is_corresponding":false,"raw_author_name":"Dario Piga","raw_affiliation_strings":["IDSIA Dalle Molle Institute for Artificial Intelligence, SUPSI-USI, Manno, Switzerland"],"raw_orcid":"https://orcid.org/0000-0001-7691-4886","affiliations":[{"raw_affiliation_string":"IDSIA Dalle Molle Institute for Artificial Intelligence, SUPSI-USI, Manno, Switzerland","institution_ids":["https://openalex.org/I2614128279","https://openalex.org/I15196421"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Marco Forgione","orcid":"https://orcid.org/0000-0001-6772-1580"},"institutions":[{"id":"https://openalex.org/I15196421","display_name":"University of Applied Sciences and Arts of Southern Switzerland","ror":"https://ror.org/05ep8g269","country_code":"CH","type":"education","lineage":["https://openalex.org/I15196421"]},{"id":"https://openalex.org/I2614128279","display_name":"Dalle Molle Institute for Artificial Intelligence Research","ror":"https://ror.org/013355g38","country_code":"CH","type":"facility","lineage":["https://openalex.org/I15196421","https://openalex.org/I2614128279","https://openalex.org/I57201433"]}],"countries":["CH"],"is_corresponding":false,"raw_author_name":"Marco Forgione","raw_affiliation_strings":["IDSIA Dalle Molle Institute for Artificial Intelligence, SUPSI-USI, Manno, Switzerland"],"raw_orcid":"https://orcid.org/0000-0001-6772-1580","affiliations":[{"raw_affiliation_string":"IDSIA Dalle Molle Institute for Artificial Intelligence, SUPSI-USI, Manno, Switzerland","institution_ids":["https://openalex.org/I2614128279","https://openalex.org/I15196421"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Simone Formentin","orcid":"https://orcid.org/0000-0001-6889-6219"},"institutions":[{"id":"https://openalex.org/I93860229","display_name":"Politecnico di Milano","ror":"https://ror.org/01nffqt88","country_code":"IT","type":"education","lineage":["https://openalex.org/I93860229"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Simone Formentin","raw_affiliation_strings":["Dipartimento di Elettronica e Informazione, Politecnico di Milano, Milano, Italy"],"raw_orcid":"https://orcid.org/0000-0001-6889-6219","affiliations":[{"raw_affiliation_string":"Dipartimento di Elettronica e Informazione, Politecnico di Milano, Milano, Italy","institution_ids":["https://openalex.org/I93860229"]}]},{"author_position":"last","author":{"id":null,"display_name":"Alberto Bemporad","orcid":"https://orcid.org/0000-0001-6761-0856"},"institutions":[{"id":"https://openalex.org/I127077003","display_name":"IMT School for Advanced Studies Lucca","ror":"https://ror.org/035gh3a49","country_code":"IT","type":"education","lineage":["https://openalex.org/I127077003"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Alberto Bemporad","raw_affiliation_strings":["IMT School for Advanced Studies Lucca, Lucca, Italy"],"raw_orcid":"https://orcid.org/0000-0001-6761-0856","affiliations":[{"raw_affiliation_string":"IMT School for Advanced Studies Lucca, Lucca, Italy","institution_ids":["https://openalex.org/I127077003"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":8.9365,"has_fulltext":false,"cited_by_count":135,"citation_normalized_percentile":{"value":0.98292501,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":100},"biblio":{"volume":"3","issue":"3","first_page":"577","last_page":"582"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10791","display_name":"Advanced Control Systems Optimization","score":0.9571999907493591,"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":0.9571999907493591,"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":0.023600000888109207,"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":0.00800000037997961,"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":0.7440000176429749},{"id":"https://openalex.org/keywords/controller","display_name":"Controller (irrigation)","score":0.4805999994277954},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.4616999924182892},{"id":"https://openalex.org/keywords/control-theory","display_name":"Control theory (sociology)","score":0.4449000060558319},{"id":"https://openalex.org/keywords/control","display_name":"Control (management)","score":0.43459999561309814},{"id":"https://openalex.org/keywords/term","display_name":"Term (time)","score":0.3743000030517578},{"id":"https://openalex.org/keywords/adaptive-control","display_name":"Adaptive control","score":0.3626999855041504},{"id":"https://openalex.org/keywords/robust-control","display_name":"Robust control","score":0.3553999960422516}],"concepts":[{"id":"https://openalex.org/C172205157","wikidata":"https://www.wikidata.org/wiki/Q1782962","display_name":"Model predictive control","level":3,"score":0.7440000176429749},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.64410001039505},{"id":"https://openalex.org/C203479927","wikidata":"https://www.wikidata.org/wiki/Q5165939","display_name":"Controller (irrigation)","level":2,"score":0.4805999994277954},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.4616999924182892},{"id":"https://openalex.org/C47446073","wikidata":"https://www.wikidata.org/wiki/Q5165890","display_name":"Control theory (sociology)","level":3,"score":0.4449000060558319},{"id":"https://openalex.org/C133731056","wikidata":"https://www.wikidata.org/wiki/Q4917288","display_name":"Control engineering","level":1,"score":0.44339999556541443},{"id":"https://openalex.org/C2775924081","wikidata":"https://www.wikidata.org/wiki/Q55608371","display_name":"Control (management)","level":2,"score":0.43459999561309814},{"id":"https://openalex.org/C61797465","wikidata":"https://www.wikidata.org/wiki/Q1188986","display_name":"Term (time)","level":2,"score":0.3743000030517578},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3741999864578247},{"id":"https://openalex.org/C107464732","wikidata":"https://www.wikidata.org/wiki/Q235781","display_name":"Adaptive control","level":3,"score":0.3626999855041504},{"id":"https://openalex.org/C31531917","wikidata":"https://www.wikidata.org/wiki/Q915157","display_name":"Robust control","level":3,"score":0.3553999960422516},{"id":"https://openalex.org/C112972136","wikidata":"https://www.wikidata.org/wiki/Q7595718","display_name":"Stability (learning theory)","level":2,"score":0.35109999775886536},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3357999920845032},{"id":"https://openalex.org/C17500928","wikidata":"https://www.wikidata.org/wiki/Q959968","display_name":"Control system","level":2,"score":0.3012000024318695},{"id":"https://openalex.org/C155386361","wikidata":"https://www.wikidata.org/wiki/Q1649571","display_name":"Process control","level":3,"score":0.2971999943256378},{"id":"https://openalex.org/C51632099","wikidata":"https://www.wikidata.org/wiki/Q3985153","display_name":"Training set","level":2,"score":0.2955000102519989},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.28220000863075256},{"id":"https://openalex.org/C91575142","wikidata":"https://www.wikidata.org/wiki/Q1971426","display_name":"Optimal control","level":2,"score":0.2793999910354614},{"id":"https://openalex.org/C160234255","wikidata":"https://www.wikidata.org/wiki/Q812535","display_name":"Bayesian inference","level":3,"score":0.2703999876976013},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.26899999380111694},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.26899999380111694},{"id":"https://openalex.org/C2777851325","wikidata":"https://www.wikidata.org/wiki/Q7094102","display_name":"Online model","level":2,"score":0.26409998536109924}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/lcsys.2019.2913347","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lcsys.2019.2913347","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:1904.10839","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1904.10839","pdf_url":"https://arxiv.org/pdf/1904.10839","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"},{"id":"pmh:oai:re.public.polimi.it:11311/1121594","is_oa":false,"landing_page_url":"http://hdl.handle.net/11311/1121594","pdf_url":null,"source":{"id":"https://openalex.org/S4306400312","display_name":"Virtual Community of Pathological Anatomy (University of Castilla La Mancha)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I79189158","host_organization_name":"University of Castilla-La Mancha","host_organization_lineage":["https://openalex.org/I79189158"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"info:eu-repo/semantics/article"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:1904.10839","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1904.10839","pdf_url":"https://arxiv.org/pdf/1904.10839","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":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":19,"referenced_works":["https://openalex.org/W1608758704","https://openalex.org/W1981832695","https://openalex.org/W1983864916","https://openalex.org/W1993170675","https://openalex.org/W2009202498","https://openalex.org/W2018691083","https://openalex.org/W2026979490","https://openalex.org/W2116773335","https://openalex.org/W2158051473","https://openalex.org/W2169054779","https://openalex.org/W2192203593","https://openalex.org/W2513988836","https://openalex.org/W2557055507","https://openalex.org/W2599719672","https://openalex.org/W2749680651","https://openalex.org/W2963683522","https://openalex.org/W3098794246","https://openalex.org/W6675200109","https://openalex.org/W6761945877"],"related_works":[],"abstract_inverted_index":{"Model":[0],"predictive":[1],"control":[2,39],"(MPC)":[3],"is":[4,29,40,82],"an":[5,15],"enabling":[6],"technology":[7],"in":[8,14,25],"applications":[9],"requiring":[10],"controlling":[11],"physical":[12],"processes":[13],"optimized":[16],"way":[17],"under":[18,38],"constraints":[19],"on":[20],"inputs":[21],"and":[22,110],"outputs.":[23],"However,":[24],"MPC":[26,106],"closed-loop":[27,88],"performance":[28,55],"pushed":[30],"to":[31,47,57,69,84,104],"the":[32,36,51,67,74,79,86,95,98],"limits":[33],"only":[34],"if":[35],"plant":[37],"accurately":[41],"modeled;":[42],"otherwise,":[43],"robust":[44],"architectures":[45],"need":[46],"be":[48],"employed,":[49],"at":[50],"price":[52],"of":[53,65],"reduced":[54],"due":[56],"worst-case":[58],"conservative":[59],"assumptions.":[60],"In":[61],"this":[62],"letter,":[63],"instead":[64],"adapting":[66],"controller":[68],"handle":[70],"uncertainty,":[71],"we":[72,92],"adapt":[73],"learning":[75],"procedure":[76],"so":[77],"that":[78],"prediction":[80],"model":[81],"selected":[83],"provide":[85],"best":[87],"performance.":[89],"More":[90],"specifically,":[91],"apply":[93],"for":[94,101],"first":[96],"time":[97],"above":[99],"\u201cidentification":[100],"control\u201d":[102],"rationale":[103],"hierarchical":[105],"using":[107],"data-driven":[108],"methods":[109],"Bayesian":[111],"optimization.":[112]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":20},{"year":2024,"cited_by_count":31},{"year":2023,"cited_by_count":28},{"year":2022,"cited_by_count":21},{"year":2021,"cited_by_count":16},{"year":2020,"cited_by_count":15},{"year":2019,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2019-06-27T00:00:00"}
