{"id":"https://openalex.org/W7123344062","doi":"https://doi.org/10.1109/cdc57313.2025.11312156","title":"InstructMPC: A Human-LLM-in-the-Loop Framework for Context-Aware Control","display_name":"InstructMPC: A Human-LLM-in-the-Loop Framework for Context-Aware Control","publication_year":2025,"publication_date":"2025-12-09","ids":{"openalex":"https://openalex.org/W7123344062","doi":"https://doi.org/10.1109/cdc57313.2025.11312156"},"language":null,"primary_location":{"id":"doi:10.1109/cdc57313.2025.11312156","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cdc57313.2025.11312156","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE 64th Conference on Decision and Control (CDC)","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/A5122891030","display_name":"Ruixiang Wu","orcid":null},"institutions":[{"id":"https://openalex.org/I4210116924","display_name":"Chinese University of Hong Kong, Shenzhen","ror":"https://ror.org/02d5ks197","country_code":"CN","type":"education","lineage":["https://openalex.org/I177725633","https://openalex.org/I180726961","https://openalex.org/I4210116924"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Ruixiang Wu","raw_affiliation_strings":["The Chinese University of Hong Kong,School of Data Science,Shenzhen,China,518172"],"affiliations":[{"raw_affiliation_string":"The Chinese University of Hong Kong,School of Data Science,Shenzhen,China,518172","institution_ids":["https://openalex.org/I4210116924"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5119013737","display_name":"Chen Ju","orcid":"https://orcid.org/0000-0003-1841-3121"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiahao Ai","raw_affiliation_strings":["Peking University,School of Mathematical Sciences,Beijing,China,100871"],"affiliations":[{"raw_affiliation_string":"Peking University,School of Mathematical Sciences,Beijing,China,100871","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5122906280","display_name":"Tongxin Li","orcid":null},"institutions":[{"id":"https://openalex.org/I4210116924","display_name":"Chinese University of Hong Kong, Shenzhen","ror":"https://ror.org/02d5ks197","country_code":"CN","type":"education","lineage":["https://openalex.org/I177725633","https://openalex.org/I180726961","https://openalex.org/I4210116924"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tongxin Li","raw_affiliation_strings":["The Chinese University of Hong Kong,School of Data Science,Shenzhen,China,518172"],"affiliations":[{"raw_affiliation_string":"The Chinese University of Hong Kong,School of Data Science,Shenzhen,China,518172","institution_ids":["https://openalex.org/I4210116924"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5122891030"],"corresponding_institution_ids":["https://openalex.org/I4210116924"],"apc_list":null,"apc_paid":null,"fwci":4.0136,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.94791929,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":98,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"172","last_page":"179"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12101","display_name":"Advanced Bandit Algorithms Research","score":0.14319999516010284,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T12101","display_name":"Advanced Bandit Algorithms Research","score":0.14319999516010284,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T12026","display_name":"Explainable Artificial Intelligence (XAI)","score":0.08370000123977661,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10462","display_name":"Reinforcement Learning in Robotics","score":0.07169999927282333,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/regret","display_name":"Regret","score":0.7627000212669373},{"id":"https://openalex.org/keywords/model-predictive-control","display_name":"Model predictive control","score":0.7261999845504761},{"id":"https://openalex.org/keywords/control","display_name":"Control (management)","score":0.5684999823570251},{"id":"https://openalex.org/keywords/energy","display_name":"Energy (signal processing)","score":0.4287000000476837},{"id":"https://openalex.org/keywords/preference","display_name":"Preference","score":0.39719998836517334},{"id":"https://openalex.org/keywords/stability","display_name":"Stability (learning theory)","score":0.38839998841285706},{"id":"https://openalex.org/keywords/control-theory","display_name":"Control theory (sociology)","score":0.3538999855518341}],"concepts":[{"id":"https://openalex.org/C50817715","wikidata":"https://www.wikidata.org/wiki/Q79895177","display_name":"Regret","level":2,"score":0.7627000212669373},{"id":"https://openalex.org/C172205157","wikidata":"https://www.wikidata.org/wiki/Q1782962","display_name":"Model predictive control","level":3,"score":0.7261999845504761},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6639000177383423},{"id":"https://openalex.org/C2775924081","wikidata":"https://www.wikidata.org/wiki/Q55608371","display_name":"Control (management)","level":2,"score":0.5684999823570251},{"id":"https://openalex.org/C186370098","wikidata":"https://www.wikidata.org/wiki/Q442787","display_name":"Energy (signal processing)","level":2,"score":0.4287000000476837},{"id":"https://openalex.org/C133731056","wikidata":"https://www.wikidata.org/wiki/Q4917288","display_name":"Control engineering","level":1,"score":0.4106000065803528},{"id":"https://openalex.org/C2781249084","wikidata":"https://www.wikidata.org/wiki/Q908656","display_name":"Preference","level":2,"score":0.39719998836517334},{"id":"https://openalex.org/C112972136","wikidata":"https://www.wikidata.org/wiki/Q7595718","display_name":"Stability (learning theory)","level":2,"score":0.38839998841285706},{"id":"https://openalex.org/C47446073","wikidata":"https://www.wikidata.org/wiki/Q5165890","display_name":"Control theory (sociology)","level":3,"score":0.3538999855518341},{"id":"https://openalex.org/C203479927","wikidata":"https://www.wikidata.org/wiki/Q5165939","display_name":"Controller (irrigation)","level":2,"score":0.3393000066280365},{"id":"https://openalex.org/C17500928","wikidata":"https://www.wikidata.org/wiki/Q959968","display_name":"Control system","level":2,"score":0.31679999828338623},{"id":"https://openalex.org/C77405623","wikidata":"https://www.wikidata.org/wiki/Q598451","display_name":"System dynamics","level":2,"score":0.2921000123023987},{"id":"https://openalex.org/C91575142","wikidata":"https://www.wikidata.org/wiki/Q1971426","display_name":"Optimal control","level":2,"score":0.27559998631477356},{"id":"https://openalex.org/C145912823","wikidata":"https://www.wikidata.org/wiki/Q113558","display_name":"Dynamics (music)","level":2,"score":0.271699994802475},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.26019999384880066},{"id":"https://openalex.org/C2778049539","wikidata":"https://www.wikidata.org/wiki/Q17002908","display_name":"Bayesian optimization","level":2,"score":0.2547999918460846}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/cdc57313.2025.11312156","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cdc57313.2025.11312156","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE 64th Conference on Decision and Control (CDC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Affordable and clean energy","id":"https://metadata.un.org/sdg/7","score":0.8538604974746704}],"awards":[],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":18,"referenced_works":["https://openalex.org/W2492791808","https://openalex.org/W2911981170","https://openalex.org/W2951581673","https://openalex.org/W3090789943","https://openalex.org/W3094079632","https://openalex.org/W3103097739","https://openalex.org/W3179947654","https://openalex.org/W4284879674","https://openalex.org/W4312717465","https://openalex.org/W4385245566","https://openalex.org/W4385299572","https://openalex.org/W4389666551","https://openalex.org/W4390102240","https://openalex.org/W4402261486","https://openalex.org/W4402508433","https://openalex.org/W4407950087","https://openalex.org/W4407950713","https://openalex.org/W4411345779"],"related_works":[],"abstract_inverted_index":{"Model":[0,63],"Predictive":[1],"Control":[2],"(MPC)":[3],"is":[4,27],"a":[5,47,60,74,112,120,144],"powerful":[6],"control":[7],"strategy":[8],"widely":[9],"utilized":[10],"in":[11,24,111],"domains":[12],"like":[13],"energy":[14],"management,":[15],"building":[16],"control,":[17],"and":[18,36,97,106],"autonomous":[19],"systems.":[20],"However,":[21],"its":[22],"effectiveness":[23],"real-world":[25],"settings":[26],"challenged":[28],"by":[29,54],"the":[30,91,108],"need":[31],"to":[32,65,78],"incorporate":[33],"context-specific":[34],"predictions":[35,68],"expert":[37],"instructions,":[38],"which":[39,86],"traditional":[40],"MPC":[41,92,99],"often":[42],"neglects.":[43],"We":[44],"propose":[45],"INSTRUCTMPC,":[46],"novel":[48],"framework":[49],"that":[50],"addresses":[51],"this":[52],"gap":[53],"integrating":[55],"real-time":[56],"human":[57],"instructions":[58],"through":[59],"Large":[61],"Language":[62],"(LLM)":[64],"produce":[66],"context-aware":[67,96],"for":[69,128],"MPC.":[70],"Our":[71],"method":[72],"employs":[73],"Language-to-Distribution":[75],"(L2D)":[76],"module":[77,110],"translate":[79],"contextual":[80],"information":[81],"into":[82,90],"predictive":[83],"disturbance":[84],"trajectories,":[85],"are":[87],"then":[88],"incorporated":[89],"optimization.":[93],"Unlike":[94],"existing":[95],"language-based":[98],"models,":[100],"INSTRUCTMPC":[101],"enables":[102],"dynamic":[103],"human-LLM":[104],"interaction":[105],"fine-tunes":[107],"L2D":[109],"closed":[113],"loop":[114],"with":[115],"theoretical":[116],"performance":[117],"guarantees,":[118],"achieving":[119],"regret":[121],"bound":[122],"of":[123],"$O\\sqrt":[124],"{T\\log":[125],"\\,T}":[126],"$":[127],"linear":[129],"dynamics":[130],"when":[131],"optimized":[132],"via":[133],"advanced":[134],"fine-tuning":[135],"methods":[136],"such":[137],"as":[138],"Direct":[139],"Preference":[140],"Optimization":[141],"(DPO)":[142],"using":[143],"tailored":[145],"loss":[146],"function.":[147]},"counts_by_year":[{"year":2026,"cited_by_count":2}],"updated_date":"2026-04-09T08:11:56.329763","created_date":"2026-01-14T00:00:00"}
