{"id":"https://openalex.org/W4314946918","doi":"https://doi.org/10.1109/cdc51059.2022.9992466","title":"Computationally efficient robust MPC using optimized constraint tightening","display_name":"Computationally efficient robust MPC using optimized constraint tightening","publication_year":2022,"publication_date":"2022-12-06","ids":{"openalex":"https://openalex.org/W4314946918","doi":"https://doi.org/10.1109/cdc51059.2022.9992466"},"language":"en","primary_location":{"id":"doi:10.1109/cdc51059.2022.9992466","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/cdc51059.2022.9992466","pdf_url":null,"source":{"id":"https://openalex.org/S4363607710","display_name":"2022 IEEE 61st Conference on Decision and Control (CDC)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE 61st Conference on Decision and Control (CDC)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5081817125","display_name":"Anilkumar Parsi","orcid":"https://orcid.org/0000-0002-1806-8332"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Anilkumar Parsi","raw_affiliation_strings":["ETH,Automatic Control Lab,Z&#x00FC;rich,Switzerland"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"ETH,Automatic Control Lab,Z&#x00FC;rich,Switzerland","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5089179573","display_name":"Panagiotis Anagnostaras","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Panagiotis Anagnostaras","raw_affiliation_strings":["ETH,Automatic Control Lab,Z&#x00FC;rich,Switzerland"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"ETH,Automatic Control Lab,Z&#x00FC;rich,Switzerland","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5070703646","display_name":"Andrea Iannelli","orcid":"https://orcid.org/0000-0002-1865-6978"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Andrea Iannelli","raw_affiliation_strings":["ETH,Automatic Control Lab,Z&#x00FC;rich,Switzerland"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"ETH,Automatic Control Lab,Z&#x00FC;rich,Switzerland","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5017078571","display_name":"Roy S. Smith","orcid":"https://orcid.org/0000-0002-8139-4683"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Roy S. Smith","raw_affiliation_strings":["ETH,Automatic Control Lab,Z&#x00FC;rich,Switzerland"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"ETH,Automatic Control Lab,Z&#x00FC;rich,Switzerland","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":"37","issue":null,"first_page":"1770","last_page":"1775"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10791","display_name":"Advanced Control Systems Optimization","score":1.0,"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":1.0,"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":0.9987000226974487,"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":0.9939000010490417,"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":0.7611939907073975},{"id":"https://openalex.org/keywords/control-theory","display_name":"Control theory (sociology)","score":0.7143827080726624},{"id":"https://openalex.org/keywords/constraint-satisfaction","display_name":"Constraint satisfaction","score":0.7030887603759766},{"id":"https://openalex.org/keywords/constraint","display_name":"Constraint (computer-aided design)","score":0.611293613910675},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.5724483132362366},{"id":"https://openalex.org/keywords/bounded-function","display_name":"Bounded function","score":0.5347636342048645},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5012655258178711},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.4965255856513977},{"id":"https://openalex.org/keywords/convex-optimization","display_name":"Convex optimization","score":0.4937320649623871},{"id":"https://openalex.org/keywords/regular-polygon","display_name":"Regular polygon","score":0.47772881388664246},{"id":"https://openalex.org/keywords/robust-control","display_name":"Robust control","score":0.4756184220314026},{"id":"https://openalex.org/keywords/stability","display_name":"Stability (learning theory)","score":0.4644586741924286},{"id":"https://openalex.org/keywords/affine-transformation","display_name":"Affine transformation","score":0.46279075741767883},{"id":"https://openalex.org/keywords/computational-complexity-theory","display_name":"Computational complexity theory","score":0.41142791509628296},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.31301647424697876},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.21930238604545593},{"id":"https://openalex.org/keywords/control-system","display_name":"Control system","score":0.21327424049377441},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.18154290318489075},{"id":"https://openalex.org/keywords/control","display_name":"Control (management)","score":0.14877277612686157},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.10450157523155212}],"concepts":[{"id":"https://openalex.org/C172205157","wikidata":"https://www.wikidata.org/wiki/Q1782962","display_name":"Model predictive control","level":3,"score":0.7611939907073975},{"id":"https://openalex.org/C47446073","wikidata":"https://www.wikidata.org/wiki/Q5165890","display_name":"Control theory (sociology)","level":3,"score":0.7143827080726624},{"id":"https://openalex.org/C44616089","wikidata":"https://www.wikidata.org/wiki/Q30158686","display_name":"Constraint satisfaction","level":3,"score":0.7030887603759766},{"id":"https://openalex.org/C2776036281","wikidata":"https://www.wikidata.org/wiki/Q48769818","display_name":"Constraint (computer-aided design)","level":2,"score":0.611293613910675},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.5724483132362366},{"id":"https://openalex.org/C34388435","wikidata":"https://www.wikidata.org/wiki/Q2267362","display_name":"Bounded function","level":2,"score":0.5347636342048645},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5012655258178711},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.4965255856513977},{"id":"https://openalex.org/C157972887","wikidata":"https://www.wikidata.org/wiki/Q463359","display_name":"Convex optimization","level":3,"score":0.4937320649623871},{"id":"https://openalex.org/C112680207","wikidata":"https://www.wikidata.org/wiki/Q714886","display_name":"Regular polygon","level":2,"score":0.47772881388664246},{"id":"https://openalex.org/C31531917","wikidata":"https://www.wikidata.org/wiki/Q915157","display_name":"Robust control","level":3,"score":0.4756184220314026},{"id":"https://openalex.org/C112972136","wikidata":"https://www.wikidata.org/wiki/Q7595718","display_name":"Stability (learning theory)","level":2,"score":0.4644586741924286},{"id":"https://openalex.org/C92757383","wikidata":"https://www.wikidata.org/wiki/Q382497","display_name":"Affine transformation","level":2,"score":0.46279075741767883},{"id":"https://openalex.org/C179799912","wikidata":"https://www.wikidata.org/wiki/Q205084","display_name":"Computational complexity theory","level":2,"score":0.41142791509628296},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.31301647424697876},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.21930238604545593},{"id":"https://openalex.org/C17500928","wikidata":"https://www.wikidata.org/wiki/Q959968","display_name":"Control system","level":2,"score":0.21327424049377441},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.18154290318489075},{"id":"https://openalex.org/C2775924081","wikidata":"https://www.wikidata.org/wiki/Q55608371","display_name":"Control (management)","level":2,"score":0.14877277612686157},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.10450157523155212},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.0},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"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/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","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/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/cdc51059.2022.9992466","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/cdc51059.2022.9992466","pdf_url":null,"source":{"id":"https://openalex.org/S4363607710","display_name":"2022 IEEE 61st Conference on Decision and Control (CDC)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE 61st Conference on Decision and Control (CDC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":18,"referenced_works":["https://openalex.org/W86892992","https://openalex.org/W1524886571","https://openalex.org/W1981723834","https://openalex.org/W2037450006","https://openalex.org/W2038137192","https://openalex.org/W2080256219","https://openalex.org/W2110349823","https://openalex.org/W2294295398","https://openalex.org/W2536620281","https://openalex.org/W2749680651","https://openalex.org/W2796628871","https://openalex.org/W2948652605","https://openalex.org/W3138294267","https://openalex.org/W3154937131","https://openalex.org/W3213296111","https://openalex.org/W4206575039","https://openalex.org/W4246038204","https://openalex.org/W4250589301"],"related_works":["https://openalex.org/W1990079087","https://openalex.org/W2101188133","https://openalex.org/W2767128392","https://openalex.org/W4205300464","https://openalex.org/W2069356790","https://openalex.org/W4296154543","https://openalex.org/W2001785873","https://openalex.org/W4312717466","https://openalex.org/W1542318010","https://openalex.org/W4236098954"],"abstract_inverted_index":{"A":[0],"robust":[1,86],"model":[2],"predictive":[3],"control":[4],"(MPC)":[5],"method":[6],"is":[7,21,35,38],"presented":[8],"for":[9],"linear,":[10],"time-invariant":[11],"systems":[12],"affected":[13],"by":[14,40],"bounded":[15],"additive":[16],"disturbances.":[17],"The":[18,58,77],"main":[19],"contribution":[20],"the":[22,31,42,52,63,80],"offline":[23],"design":[24],"of":[25,66,79],"a":[26,47,56],"disturbance-affine":[27],"feedback":[28,53],"gain":[29],"whereby":[30],"resulting":[32,59],"constraint":[33,43,75],"tightening":[34,44],"minimized.":[36],"This":[37],"achieved":[39],"formulating":[41],"problem":[45,50],"as":[46,55],"convex":[48],"optimization":[49],"with":[51],"term":[54],"variable.":[57],"MPC":[60,87],"controller":[61],"has":[62],"computational":[64],"complexity":[65],"nominal":[67],"MPC,":[68],"and":[69,74],"guarantees":[70],"recursive":[71],"feasibility,":[72],"stability":[73],"satisfaction.":[76],"advantages":[78],"proposed":[81],"approach":[82],"compared":[83],"to":[84],"existing":[85],"methods":[88],"are":[89],"demonstrated":[90],"using":[91],"numerical":[92],"examples.":[93]},"counts_by_year":[{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
