{"id":"https://openalex.org/W2526097642","doi":null,"title":"Utilizing Problem Structure in Optimization Algorithms for Model Predictive Control","display_name":"Utilizing Problem Structure in Optimization Algorithms for Model Predictive Control","publication_year":2015,"publication_date":"2015-01-01","ids":{"openalex":"https://openalex.org/W2526097642","mag":"2526097642"},"language":"en","primary_location":{"id":"pmh:oai:escholarship.org/ark:/13030/qt7d17656n","doi":null,"is_oa":false,"landing_page_url":"https://escholarship.org/uc/item/7d17656n","pdf_url":null,"source":{"id":"https://openalex.org/S4306400115","display_name":"eScholarship (California Digital Library)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I2801248553","host_organization_name":"California Digital Library","host_organization_lineage":["https://openalex.org/I2801248553"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"etd"},"volume":null,"type":"dissertation","is_traditional":true,"indexed_in":[],"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/A5036598831","display_name":"Anthony D. Kelman","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Anthony Kelman","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":["https://openalex.org/A5036598831"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10791","display_name":"Advanced Control Systems Optimization","score":0.9994999766349792,"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":0.9994999766349792,"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/T10121","display_name":"Building Energy and Comfort Optimization","score":0.00039999998989515007,"subfield":{"id":"https://openalex.org/subfields/2215","display_name":"Building and Construction"},"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/T10963","display_name":"Advanced Optimization Algorithms Research","score":9.999999747378752e-05,"subfield":{"id":"https://openalex.org/subfields/2612","display_name":"Numerical Analysis"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"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":0.996999979019165},{"id":"https://openalex.org/keywords/problem-structure","display_name":"problem structure","score":0.5550000071525574},{"id":"https://openalex.org/keywords/hvac-energy-efficiency","display_name":"HVAC energy efficiency","score":0.7139999866485596},{"id":"https://openalex.org/keywords/building-energy-consumption","display_name":"building energy consumption","score":0.8109999895095825},{"id":"https://openalex.org/keywords/interior-point-methods","display_name":"interior point methods","score":0.7009999752044678},{"id":"https://openalex.org/keywords/parallel-solvers","display_name":"parallel solvers","score":0.5830000042915344},{"id":"https://openalex.org/keywords/automatic-differentiation","display_name":"automatic differentiation","score":0.4950000047683716},{"id":"https://openalex.org/keywords/polyhedral-constraints","display_name":"polyhedral constraints","score":0.8429999947547913},{"id":"https://openalex.org/keywords/time-invariant-systems","display_name":"time-invariant systems","score":0.6819999814033508}],"concepts":[{"id":"https://openalex.org/C172205157","wikidata":"https://www.wikidata.org/wiki/Q1782962","display_name":"Model predictive control","level":3,"score":0.8008267879486084},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6151686906814575},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.5605244636535645},{"id":"https://openalex.org/C137836250","wikidata":"https://www.wikidata.org/wiki/Q984063","display_name":"Optimization problem","level":2,"score":0.5370951890945435},{"id":"https://openalex.org/C155253501","wikidata":"https://www.wikidata.org/wiki/Q461992","display_name":"Interior point method","level":2,"score":0.48105740547180176},{"id":"https://openalex.org/C6802819","wikidata":"https://www.wikidata.org/wiki/Q1072174","display_name":"Linear system","level":2,"score":0.4645196199417114},{"id":"https://openalex.org/C158622935","wikidata":"https://www.wikidata.org/wiki/Q660848","display_name":"Nonlinear system","level":2,"score":0.4564836025238037},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3782516121864319},{"id":"https://openalex.org/C47446073","wikidata":"https://www.wikidata.org/wiki/Q5165890","display_name":"Control theory (sociology)","level":3,"score":0.36637741327285767},{"id":"https://openalex.org/C2775924081","wikidata":"https://www.wikidata.org/wiki/Q55608371","display_name":"Control (management)","level":2,"score":0.22974896430969238},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.19332924485206604},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.1248253583908081},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"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/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"pmh:oai:escholarship.org/ark:/13030/qt7d17656n","doi":null,"is_oa":false,"landing_page_url":"https://escholarship.org/uc/item/7d17656n","pdf_url":null,"source":{"id":"https://openalex.org/S4306400115","display_name":"eScholarship (California Digital Library)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I2801248553","host_organization_name":"California Digital Library","host_organization_lineage":["https://openalex.org/I2801248553"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"etd"},{"id":"pmh:qt7d17656n","doi":null,"is_oa":false,"landing_page_url":"http://www.escholarship.org/uc/item/7d17656n","pdf_url":null,"source":{"id":"https://openalex.org/S4306400115","display_name":"eScholarship (California Digital Library)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I2801248553","host_organization_name":"California Digital Library","host_organization_lineage":["https://openalex.org/I2801248553"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Kelman, Anthony David. (2015). Utilizing Problem Structure in Optimization Algorithms for Model Predictive Control. UC Berkeley: Mechanical Engineering. Retrieved from: http://www.escholarship.org/uc/item/7d17656n","raw_type":"dissertation"},{"id":"mag:2526097642","doi":null,"is_oa":false,"landing_page_url":"https://escholarship.org/content/qt7d17656n/qt7d17656n.pdf?t=odi69p","pdf_url":null,"source":null,"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":45,"referenced_works":["https://openalex.org/W634145","https://openalex.org/W425247478","https://openalex.org/W1556374056","https://openalex.org/W1572270094","https://openalex.org/W1576823098","https://openalex.org/W1581078542","https://openalex.org/W1760551737","https://openalex.org/W1959955997","https://openalex.org/W1964070472","https://openalex.org/W1964166152","https://openalex.org/W1978956894","https://openalex.org/W1979607444","https://openalex.org/W1983486886","https://openalex.org/W1996383285","https://openalex.org/W2001960389","https://openalex.org/W2003105834","https://openalex.org/W2014550333","https://openalex.org/W2016469042","https://openalex.org/W2019348145","https://openalex.org/W2026079951","https://openalex.org/W2029264889","https://openalex.org/W2031392034","https://openalex.org/W2045622192","https://openalex.org/W2048047354","https://openalex.org/W2070232376","https://openalex.org/W2088693678","https://openalex.org/W2100939727","https://openalex.org/W2105198154","https://openalex.org/W2106949712","https://openalex.org/W2119681812","https://openalex.org/W2120575449","https://openalex.org/W2121082877","https://openalex.org/W2123871098","https://openalex.org/W2124488712","https://openalex.org/W2127144731","https://openalex.org/W2130018793","https://openalex.org/W2130300008","https://openalex.org/W2134673975","https://openalex.org/W2143776086","https://openalex.org/W2151032674","https://openalex.org/W2163360863","https://openalex.org/W2164278908","https://openalex.org/W2183102235","https://openalex.org/W2338861484","https://openalex.org/W3029645440"],"related_works":["https://openalex.org/W2014550333","https://openalex.org/W4301270395","https://openalex.org/W6949340815","https://openalex.org/W2989651212","https://openalex.org/W2187988115","https://openalex.org/W2615042623","https://openalex.org/W2595724041","https://openalex.org/W2165772232","https://openalex.org/W2038600342","https://openalex.org/W7028739837"],"abstract_inverted_index":{"In":[0],"this":[1],"work":[2],"we":[3,189],"perform":[4],"control":[5,13,18,39,50,83],"design":[6,164],"and":[7,25,28,42,53,60,80,122,153,176],"demonstrate":[8],"the":[9,34,55,66,87,123,126],"effectivenessof":[10],"model":[11,92,200],"predictive":[12],"(MPC),":[14],"an":[15,102,131,165],"optimization":[16,166,180],"based":[17],"approachthat":[19],"is":[20,69,112],"capable":[21],"of":[22,36,65,90,101,125,149,151,172,211],"satisfying":[23],"state":[24],"input":[26],"constraints":[27,79,154],"using":[29],"forecastsof":[30],"disturbance":[31,58],"inputs,":[32],"for":[33,193,202],"application":[35],"energy":[37,73],"efficient":[38,177],"ofheating,":[40],"ventilation,":[41],"air":[43],"conditioning":[44],"systems":[45,195,205,210],"in":[46,119,155],"buildings.":[47],"We":[48,108,163],"derivesimplified":[49],"oriented":[51],"models":[52],"express":[54],"relevant":[56],"constraintsand":[57,127],"predictions,":[59],"show":[61,109],"that":[62,110,168],"online":[63,99],"solution":[64,100],"resultingoptimization":[67],"problems":[68],"able":[70],"to":[71,94,114,206],"reduce":[72],"consumption":[74],"while":[75],"satisfyingoccupant":[76],"thermal":[77],"comfort":[78],"limits":[81],"on":[82,98,159],"actuator":[84],"inputs.We":[85],"investigate":[86],"implementation":[88],"challenges":[89],"applying":[91],"predictivecontrol":[93],"large":[95],"systems,":[96],"focusing":[97],"optimizationproblem":[103],"at":[104],"every":[105],"time":[106,203],"step.":[107],"it":[111],"critical":[113],"take":[115],"advantage":[116],"ofproblem":[117],"structure":[118],"system":[120],"modeling":[121],"formulation":[124],"objective":[128],"function.":[129],"Applying":[130],"interior":[132],"point":[133],"algorithm":[134],"making":[135],"use":[136],"ofparallel":[137],"sparse":[138,183],"linear":[139,194,209],"algebra":[140],"solvers":[141],"performs":[142],"well,":[143],"solving":[144],"nonlinear":[145],"MPCproblems":[146],"with":[147,196],"tens":[148],"thousands":[150],"variables":[152],"less":[156],"than":[157],"aminute":[158],"modern":[160],"multicore":[161],"processors.":[162],"modelingtool":[167],"allows":[169],"simple":[170],"expression":[171],"a":[173],"MPC":[174],"problem":[175],"interfacesto":[178],"compiled":[179],"solvers,":[181],"calculating":[182],"derivatives":[184],"andconstraint":[185],"Jacobians":[186],"automatically.":[187],"Finally":[188],"examine":[190],"specializedoptimization":[191],"algorithms":[192],"polyhedral":[197],"constraints,reusing":[198],"repeated":[199],"data":[201],"invariant":[204],"solve":[207],"blockbanded":[208],"equations.":[212]},"counts_by_year":[{"year":2020,"cited_by_count":1}],"updated_date":"2026-11-04T10:54:05.112534","created_date":"2016-10-07T00:00:00"}
