{"id":"https://openalex.org/W3031659944","doi":"https://doi.org/10.1109/cdc42340.2020.9304349","title":"Explicit Distributed and Localized Model Predictive Control via System Level Synthesis","display_name":"Explicit Distributed and Localized Model Predictive Control via System Level Synthesis","publication_year":2020,"publication_date":"2020-12-14","ids":{"openalex":"https://openalex.org/W3031659944","doi":"https://doi.org/10.1109/cdc42340.2020.9304349","mag":"3031659944"},"language":"en","primary_location":{"id":"doi:10.1109/cdc42340.2020.9304349","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cdc42340.2020.9304349","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 59th IEEE Conference on Decision and Control (CDC)","raw_type":"proceedings-article"},"type":"preprint","indexed_in":["arxiv","crossref","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2005.13807","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5033056799","display_name":"Carmen Amo Alonso","orcid":"https://orcid.org/0000-0001-7593-5992"},"institutions":[{"id":"https://openalex.org/I122411786","display_name":"California Institute of Technology","ror":"https://ror.org/05dxps055","country_code":"US","type":"education","lineage":["https://openalex.org/I122411786"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Carmen Amo Alonso","raw_affiliation_strings":["California Institute of Technology, Pasadena, CA","#N##TAB##TAB##TAB##TAB# California Institute of Technology#N##TAB##TAB##TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"California Institute of Technology, Pasadena, CA","institution_ids":["https://openalex.org/I122411786"]},{"raw_affiliation_string":"#N##TAB##TAB##TAB##TAB# California Institute of Technology#N##TAB##TAB##TAB#","institution_ids":["https://openalex.org/I122411786"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5052941508","display_name":"Nikolai Matni","orcid":"https://orcid.org/0000-0003-4936-3921"},"institutions":[{"id":"https://openalex.org/I36788626","display_name":"California University of Pennsylvania","ror":"https://ror.org/01spssf70","country_code":"US","type":"education","lineage":["https://openalex.org/I36788626"]},{"id":"https://openalex.org/I79576946","display_name":"University of Pennsylvania","ror":"https://ror.org/00b30xv10","country_code":"US","type":"education","lineage":["https://openalex.org/I79576946"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Nikolai Matni","raw_affiliation_strings":["University of Pennsylvania, Philadelphia, PA","#N#               * University of Pennsylvania"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Pennsylvania, Philadelphia, PA","institution_ids":["https://openalex.org/I79576946"]},{"raw_affiliation_string":"#N#               * University of Pennsylvania","institution_ids":["https://openalex.org/I36788626","https://openalex.org/I79576946"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101563166","display_name":"James Anderson","orcid":"https://orcid.org/0000-0001-8210-6527"},"institutions":[{"id":"https://openalex.org/I78577930","display_name":"Columbia University","ror":"https://ror.org/00hj8s172","country_code":"US","type":"education","lineage":["https://openalex.org/I78577930"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"James Anderson","raw_affiliation_strings":["Data Science Institute, Columbia University, New York, NY","Columbia University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Data Science Institute, Columbia University, New York, NY","institution_ids":["https://openalex.org/I78577930"]},{"raw_affiliation_string":"Columbia University","institution_ids":["https://openalex.org/I78577930"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.2914,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.5362867,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"5606","last_page":"5613"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10791","display_name":"Advanced Control Systems Optimization","score":0.9998000264167786,"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":0.9998000264167786,"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":0.9884999990463257,"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/T10096","display_name":"Metal-Organic Frameworks: Synthesis and Applications","score":0.9726999998092651,"subfield":{"id":"https://openalex.org/subfields/1604","display_name":"Inorganic Chemistry"},"field":{"id":"https://openalex.org/fields/16","display_name":"Chemistry"},"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":0.8300576210021973},{"id":"https://openalex.org/keywords/solver","display_name":"Solver","score":0.70395427942276},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6651380658149719},{"id":"https://openalex.org/keywords/locality","display_name":"Locality","score":0.6624466180801392},{"id":"https://openalex.org/keywords/overhead","display_name":"Overhead (engineering)","score":0.6069958806037903},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.5854532122612},{"id":"https://openalex.org/keywords/dimension","display_name":"Dimension (graph theory)","score":0.566792368888855},{"id":"https://openalex.org/keywords/state","display_name":"State (computer science)","score":0.4933225214481354},{"id":"https://openalex.org/keywords/scheme","display_name":"Scheme (mathematics)","score":0.4760817587375641},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.4695224165916443},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.45709484815597534},{"id":"https://openalex.org/keywords/control","display_name":"Control (management)","score":0.3539154529571533},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.2857735753059387},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2363738715648651},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.07758936285972595}],"concepts":[{"id":"https://openalex.org/C172205157","wikidata":"https://www.wikidata.org/wiki/Q1782962","display_name":"Model predictive control","level":3,"score":0.8300576210021973},{"id":"https://openalex.org/C2778770139","wikidata":"https://www.wikidata.org/wiki/Q1966904","display_name":"Solver","level":2,"score":0.70395427942276},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6651380658149719},{"id":"https://openalex.org/C2779808786","wikidata":"https://www.wikidata.org/wiki/Q6664603","display_name":"Locality","level":2,"score":0.6624466180801392},{"id":"https://openalex.org/C2779960059","wikidata":"https://www.wikidata.org/wiki/Q7113681","display_name":"Overhead (engineering)","level":2,"score":0.6069958806037903},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.5854532122612},{"id":"https://openalex.org/C33676613","wikidata":"https://www.wikidata.org/wiki/Q13415176","display_name":"Dimension (graph theory)","level":2,"score":0.566792368888855},{"id":"https://openalex.org/C48103436","wikidata":"https://www.wikidata.org/wiki/Q599031","display_name":"State (computer science)","level":2,"score":0.4933225214481354},{"id":"https://openalex.org/C77618280","wikidata":"https://www.wikidata.org/wiki/Q1155772","display_name":"Scheme (mathematics)","level":2,"score":0.4760817587375641},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.4695224165916443},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.45709484815597534},{"id":"https://openalex.org/C2775924081","wikidata":"https://www.wikidata.org/wiki/Q55608371","display_name":"Control (management)","level":2,"score":0.3539154529571533},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.2857735753059387},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2363738715648651},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.07758936285972595},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","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},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"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/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"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":4,"locations":[{"id":"doi:10.1109/cdc42340.2020.9304349","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cdc42340.2020.9304349","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 59th IEEE Conference on Decision and Control (CDC)","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:2005.13807","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2005.13807","pdf_url":"https://arxiv.org/pdf/2005.13807","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":"mag:3031659944","is_oa":true,"landing_page_url":"https://arxiv.org/pdf/2005.13807","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":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"arXiv (Cornell University)","raw_type":null},{"id":"doi:10.48550/arxiv.2005.13807","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2005.13807","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":"Preprint"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2005.13807","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2005.13807","pdf_url":"https://arxiv.org/pdf/2005.13807","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":28,"referenced_works":["https://openalex.org/W124292005","https://openalex.org/W1515630775","https://openalex.org/W1619545498","https://openalex.org/W1631926464","https://openalex.org/W1966866717","https://openalex.org/W1992326791","https://openalex.org/W2005181513","https://openalex.org/W2020574634","https://openalex.org/W2110349823","https://openalex.org/W2113622443","https://openalex.org/W2113642685","https://openalex.org/W2147833266","https://openalex.org/W2147892900","https://openalex.org/W2152532668","https://openalex.org/W2164278908","https://openalex.org/W2165364523","https://openalex.org/W2491737171","https://openalex.org/W2505443575","https://openalex.org/W2580201952","https://openalex.org/W2782694813","https://openalex.org/W2920840487","https://openalex.org/W2935277128","https://openalex.org/W2973232592","https://openalex.org/W3011939380","https://openalex.org/W4231442702","https://openalex.org/W4250589301","https://openalex.org/W4292363360","https://openalex.org/W6760326178"],"related_works":["https://openalex.org/W3015510172","https://openalex.org/W2528203928","https://openalex.org/W2235973979","https://openalex.org/W2903010709","https://openalex.org/W2592490816","https://openalex.org/W1522153530","https://openalex.org/W3011727013","https://openalex.org/W135019241","https://openalex.org/W3163150617","https://openalex.org/W2619881536","https://openalex.org/W2951947418","https://openalex.org/W2290668970","https://openalex.org/W2992031991","https://openalex.org/W2903091854","https://openalex.org/W2892206620","https://openalex.org/W98803288","https://openalex.org/W2008114469","https://openalex.org/W2491702393","https://openalex.org/W2520239196","https://openalex.org/W2511244214"],"abstract_inverted_index":{"An":[0],"explicit":[1,64,87,131],"Model":[2,21],"Predictive":[3,22],"Control":[4,23],"algorithm":[5],"for":[6,53,66],"large-scale":[7],"structured":[8],"linear":[9],"systems":[10],"is":[11,89],"presented.":[12],"We":[13,61,77,133],"base":[14],"our":[15,144],"results":[16,162],"on":[17,33],"Distributed":[18],"and":[19,44,56,97],"Localized":[20],"(DLMPC),":[24],"a":[25,150,168],"closed":[26],"loop":[27],"model":[28,45],"predictive":[29],"control":[30,59],"scheme":[31],"based":[32],"the":[34,54,69,73,81,84,86,101,109,112,120,127,140,161,165],"System":[35],"Level":[36],"Synthesis":[37],"(SLS)":[38],"framework":[39],"wherein":[40],"only":[41,90],"local":[42],"state":[43,96],"information":[46],"needs":[47],"to":[48,138],"be":[49],"exchanged":[50],"between":[51],"subsystems":[52],"computation":[55],"implementation":[57],"of":[58,68,83,115,130,143,163],"actions.":[60],"provide":[62],"an":[63],"solution":[65,88],"each":[67],"subproblems":[70,113],"resulting":[71],"from":[72],"distributed":[74],"MPC":[75,156],"scheme.":[76],"show":[78,149],"that":[79],"given":[80,108],"separability":[82],"problem,":[85,122],"divided":[91],"into":[92],"three":[93],"regions":[94],"per":[95,155],"input":[98],"instantiation,":[99],"making":[100],"point":[102],"location":[103],"problem":[104],"very":[105],"efficient.":[106],"Moreover,":[107],"locality":[110],"constraints,":[111],"are":[114],"much":[116],"smaller":[117],"dimension":[118],"than":[119],"full":[121],"which":[123,147],"consequently":[124],"significantly":[125],"reduces":[126],"computational":[128,141],"overhead":[129],"solutions.":[132],"conclude":[134],"with":[135,160,167],"numerical":[136],"simulations":[137],"demonstrate":[139],"advantages":[142],"method,":[145],"in":[146,153],"we":[148],"large":[151],"improvement":[152],"runtime":[154],"iteration":[157],"as":[158],"compared":[159],"computing":[164],"optimization":[166],"solver":[169],"online.":[170]},"counts_by_year":[{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1}],"updated_date":"2026-07-03T08:13:44.112507","created_date":"2025-10-10T00:00:00"}