{"id":"https://openalex.org/W2119671939","doi":"https://doi.org/10.1109/acc.2002.1023254","title":"Disturbance model design for linear model predictive control","display_name":"Disturbance model design for linear model predictive control","publication_year":2002,"publication_date":"2002-01-01","ids":{"openalex":"https://openalex.org/W2119671939","doi":"https://doi.org/10.1109/acc.2002.1023254","mag":"2119671939"},"language":"en","primary_location":{"id":"doi:10.1109/acc.2002.1023254","is_oa":false,"landing_page_url":"https://doi.org/10.1109/acc.2002.1023254","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2002 American Control Conference (IEEE Cat. No.CH37301)","raw_type":"proceedings-article"},"type":"article","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/A5004672639","display_name":"Thomas A. Badgwell","orcid":null},"institutions":[{"id":"https://openalex.org/I106791491","display_name":"AspenTech (United States)","ror":"https://ror.org/01ngwgb14","country_code":"US","type":"company","lineage":["https://openalex.org/I106791491"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"T.A. Badgwell","raw_affiliation_strings":["Aspen Technology, Inc., Houston, USA","Aspen Technol. Inc., Houston, TX, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Aspen Technology, Inc., Houston, USA","institution_ids":["https://openalex.org/I106791491"]},{"raw_affiliation_string":"Aspen Technol. Inc., Houston, TX, USA","institution_ids":["https://openalex.org/I106791491"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5000435923","display_name":"Kenneth R. Muske","orcid":null},"institutions":[{"id":"https://openalex.org/I7863295","display_name":"Villanova University","ror":"https://ror.org/02g7kd627","country_code":"US","type":"education","lineage":["https://openalex.org/I7863295"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"K.R. Muske","raw_affiliation_strings":["Department of chemical Engineering, Villanova University, Villanova, USA","[Department of chemical Engineering, Villanova University, Villanova, USA]"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of chemical Engineering, Villanova University, Villanova, USA","institution_ids":["https://openalex.org/I7863295"]},{"raw_affiliation_string":"[Department of chemical Engineering, Villanova University, Villanova, USA]","institution_ids":["https://openalex.org/I7863295"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":25,"citation_normalized_percentile":{"value":0.15574974,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"1621","last_page":"1626 vol.2"},"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":0.9993000030517578,"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":0.996999979019165,"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/control-theory","display_name":"Control theory (sociology)","score":0.8527315258979797},{"id":"https://openalex.org/keywords/disturbance","display_name":"Disturbance (geology)","score":0.8085402250289917},{"id":"https://openalex.org/keywords/kalman-filter","display_name":"Kalman filter","score":0.6691473722457886},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6305878162384033},{"id":"https://openalex.org/keywords/constant","display_name":"Constant (computer programming)","score":0.6264874935150146},{"id":"https://openalex.org/keywords/model-predictive-control","display_name":"Model predictive control","score":0.6044016480445862},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.6031278967857361},{"id":"https://openalex.org/keywords/control","display_name":"Control (management)","score":0.4664888381958008},{"id":"https://openalex.org/keywords/state","display_name":"State (computer science)","score":0.4579344093799591},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.43847617506980896},{"id":"https://openalex.org/keywords/control-engineering","display_name":"Control engineering","score":0.40140432119369507},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.2130528688430786},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.10699284076690674},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.09776842594146729}],"concepts":[{"id":"https://openalex.org/C47446073","wikidata":"https://www.wikidata.org/wiki/Q5165890","display_name":"Control theory (sociology)","level":3,"score":0.8527315258979797},{"id":"https://openalex.org/C2777601987","wikidata":"https://www.wikidata.org/wiki/Q5283581","display_name":"Disturbance (geology)","level":2,"score":0.8085402250289917},{"id":"https://openalex.org/C157286648","wikidata":"https://www.wikidata.org/wiki/Q846780","display_name":"Kalman filter","level":2,"score":0.6691473722457886},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6305878162384033},{"id":"https://openalex.org/C2777027219","wikidata":"https://www.wikidata.org/wiki/Q1284190","display_name":"Constant (computer programming)","level":2,"score":0.6264874935150146},{"id":"https://openalex.org/C172205157","wikidata":"https://www.wikidata.org/wiki/Q1782962","display_name":"Model predictive control","level":3,"score":0.6044016480445862},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.6031278967857361},{"id":"https://openalex.org/C2775924081","wikidata":"https://www.wikidata.org/wiki/Q55608371","display_name":"Control (management)","level":2,"score":0.4664888381958008},{"id":"https://openalex.org/C48103436","wikidata":"https://www.wikidata.org/wiki/Q599031","display_name":"State (computer science)","level":2,"score":0.4579344093799591},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.43847617506980896},{"id":"https://openalex.org/C133731056","wikidata":"https://www.wikidata.org/wiki/Q4917288","display_name":"Control engineering","level":1,"score":0.40140432119369507},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.2130528688430786},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.10699284076690674},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.09776842594146729},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","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/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/acc.2002.1023254","is_oa":false,"landing_page_url":"https://doi.org/10.1109/acc.2002.1023254","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2002 American Control Conference (IEEE Cat. No.CH37301)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":13,"referenced_works":["https://openalex.org/W126053970","https://openalex.org/W161168623","https://openalex.org/W1484739396","https://openalex.org/W1492106702","https://openalex.org/W1965640670","https://openalex.org/W2031544461","https://openalex.org/W2077478652","https://openalex.org/W2147844094","https://openalex.org/W2158517271","https://openalex.org/W2973332067","https://openalex.org/W4213416190","https://openalex.org/W6605209794","https://openalex.org/W6606529088"],"related_works":["https://openalex.org/W2038604956","https://openalex.org/W2296560746","https://openalex.org/W2338222801","https://openalex.org/W2347583731","https://openalex.org/W2106602008","https://openalex.org/W2067832159","https://openalex.org/W2153353177","https://openalex.org/W3156121563","https://openalex.org/W2355389557","https://openalex.org/W4382279073"],"abstract_inverted_index":{"Model":[0],"predictive":[1],"control":[2,83],"(MPC)":[3],"algorithms":[4],"typically":[5],"use":[6],"a":[7,20,96],"constant":[8,21],"output":[9],"bias":[10],"for":[11,95],"feedback,":[12],"which":[13],"can":[14,73],"be":[15,75],"interpreted":[16],"by":[17,56],"assuming":[18],"that":[19,62,99,112],"disturbance":[22,60,68,97],"perturbs":[23],"the":[24,43,79,82,105,116,126],"process":[25,106],"output.":[26,110],"This":[27,90],"assumption":[28],"leads":[29],"to":[30,77,85],"sluggish":[31],"rejection":[32],"of":[33,115],"most":[34],"real":[35],"unmeasured":[36,59,101],"disturbances":[37,40,102],"since":[38],"these":[39],"generally":[41],"enter":[42],"loop":[44],"through":[45,104,130],"state":[46,67],"or":[47,109],"input":[48,65],"channels.":[49],"An":[50],"improved":[51],"performance":[52,127],"is":[53],"often":[54],"possible":[55,129],"designing":[57],"an":[58],"model":[61,98,119],"explicitly":[63],"incorporates":[64],"and":[66],"effects.":[69],"A":[70,122],"Kalman":[71],"filter":[72],"then":[74],"employed":[76],"estimate":[78],"disturbances,":[80],"allowing":[81],"algorithm":[84],"reject":[86],"them":[87],"more":[88],"quickly.":[89],"paper":[91],"presents":[92],"design":[93],"guidelines":[94],"accommodates":[100],"entering":[103],"input,":[107],"state,":[108],"Conditions":[111],"guarantee":[113],"detectability":[114],"augmented":[117],"system":[118],"are":[120],"provided.":[121],"simulation":[123],"example":[124],"illustrates":[125],"benefits":[128],"this":[131],"approach.":[132]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":2},{"year":2022,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":1},{"year":2015,"cited_by_count":2},{"year":2014,"cited_by_count":2},{"year":2013,"cited_by_count":3},{"year":2012,"cited_by_count":2}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
