{"id":"https://openalex.org/W4416184778","doi":"https://doi.org/10.1016/j.arcontrol.2026.101052","title":"Model Predictive Control via Probabilistic Inference: A tutorial and survey","display_name":"Model Predictive Control via Probabilistic Inference: A tutorial and survey","publication_year":2026,"publication_date":"2026-01-01","ids":{"openalex":"https://openalex.org/W4416184778","doi":"https://doi.org/10.1016/j.arcontrol.2026.101052"},"language":"en","primary_location":{"id":"doi:10.1016/j.arcontrol.2026.101052","is_oa":true,"landing_page_url":"https://doi.org/10.1016/j.arcontrol.2026.101052","pdf_url":null,"source":{"id":"https://openalex.org/S54761077","display_name":"Annual Reviews in Control","issn_l":"1367-5788","issn":["1367-5788","1872-9088"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320990","host_organization_name":"Elsevier BV","host_organization_lineage":["https://openalex.org/P4310320990"],"host_organization_lineage_names":["Elsevier BV"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Annual Reviews in Control","raw_type":"journal-article"},"type":"article","indexed_in":["arxiv","crossref","datacite"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://doi.org/10.1016/j.arcontrol.2026.101052","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5021667451","display_name":"Kohei Honda","orcid":"https://orcid.org/0000-0001-8475-4851"},"institutions":[{"id":"https://openalex.org/I4210089607","display_name":"CyberAgent (Japan)","ror":"https://ror.org/0060jg679","country_code":"JP","type":"company","lineage":["https://openalex.org/I4210089607"]},{"id":"https://openalex.org/I60134161","display_name":"Nagoya University","ror":"https://ror.org/04chrp450","country_code":"JP","type":"education","lineage":["https://openalex.org/I60134161"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Kohei Honda","raw_affiliation_strings":["CyberAgent AI Lab, Shibuya Scramble Square, Shibuya, 150-6121, Tokyo, Japan","Nagoya University, Furo-cho, Chikusa-ku, Nagoya, 464-8603, Aichi, Japan"],"raw_orcid":"https://orcid.org/0000-0001-8475-4851","affiliations":[{"raw_affiliation_string":"CyberAgent AI Lab, Shibuya Scramble Square, Shibuya, 150-6121, Tokyo, Japan","institution_ids":["https://openalex.org/I4210089607"]},{"raw_affiliation_string":"Nagoya University, Furo-cho, Chikusa-ku, Nagoya, 464-8603, Aichi, Japan","institution_ids":["https://openalex.org/I60134161"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5021667451"],"corresponding_institution_ids":["https://openalex.org/I4210089607","https://openalex.org/I60134161"],"apc_list":{"value":3190,"currency":"USD","value_usd":3190},"apc_paid":{"value":3190,"currency":"USD","value_usd":3190},"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.00921687,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"61","issue":null,"first_page":"101052","last_page":"101052"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10791","display_name":"Advanced Control Systems Optimization","score":0.8169000148773193,"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":0.8169000148773193,"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":0.037700001150369644,"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/T11206","display_name":"Model Reduction and Neural Networks","score":0.03009999915957451,"subfield":{"id":"https://openalex.org/subfields/3109","display_name":"Statistical and Nonlinear Physics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/probabilistic-logic","display_name":"Probabilistic logic","score":0.666100025177002},{"id":"https://openalex.org/keywords/constraint","display_name":"Constraint (computer-aided design)","score":0.589900016784668},{"id":"https://openalex.org/keywords/model-predictive-control","display_name":"Model predictive control","score":0.5795000195503235},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.517799973487854},{"id":"https://openalex.org/keywords/perspective","display_name":"Perspective (graphical)","score":0.5080999732017517},{"id":"https://openalex.org/keywords/robotics","display_name":"Robotics","score":0.49549999833106995},{"id":"https://openalex.org/keywords/control","display_name":"Control (management)","score":0.4260999858379364},{"id":"https://openalex.org/keywords/path","display_name":"Path (computing)","score":0.387800008058548},{"id":"https://openalex.org/keywords/term","display_name":"Term (time)","score":0.3849000036716461}],"concepts":[{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.666100025177002},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6220999956130981},{"id":"https://openalex.org/C2776036281","wikidata":"https://www.wikidata.org/wiki/Q48769818","display_name":"Constraint (computer-aided design)","level":2,"score":0.589900016784668},{"id":"https://openalex.org/C172205157","wikidata":"https://www.wikidata.org/wiki/Q1782962","display_name":"Model predictive control","level":3,"score":0.5795000195503235},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5669999718666077},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5311999917030334},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.517799973487854},{"id":"https://openalex.org/C12713177","wikidata":"https://www.wikidata.org/wiki/Q1900281","display_name":"Perspective (graphical)","level":2,"score":0.5080999732017517},{"id":"https://openalex.org/C34413123","wikidata":"https://www.wikidata.org/wiki/Q170978","display_name":"Robotics","level":3,"score":0.49549999833106995},{"id":"https://openalex.org/C2775924081","wikidata":"https://www.wikidata.org/wiki/Q55608371","display_name":"Control (management)","level":2,"score":0.4260999858379364},{"id":"https://openalex.org/C2777735758","wikidata":"https://www.wikidata.org/wiki/Q817765","display_name":"Path (computing)","level":2,"score":0.387800008058548},{"id":"https://openalex.org/C61797465","wikidata":"https://www.wikidata.org/wiki/Q1188986","display_name":"Term (time)","level":2,"score":0.3849000036716461},{"id":"https://openalex.org/C2780791683","wikidata":"https://www.wikidata.org/wiki/Q846785","display_name":"Action (physics)","level":2,"score":0.3765000104904175},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.3686999976634979},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.3549000024795532},{"id":"https://openalex.org/C134261354","wikidata":"https://www.wikidata.org/wiki/Q938438","display_name":"Statistical inference","level":2,"score":0.3398999869823456},{"id":"https://openalex.org/C114289077","wikidata":"https://www.wikidata.org/wiki/Q3284399","display_name":"Statistical model","level":2,"score":0.33709999918937683},{"id":"https://openalex.org/C28719098","wikidata":"https://www.wikidata.org/wiki/Q44946","display_name":"Point (geometry)","level":2,"score":0.32749998569488525},{"id":"https://openalex.org/C91575142","wikidata":"https://www.wikidata.org/wiki/Q1971426","display_name":"Optimal control","level":2,"score":0.31679999828338623},{"id":"https://openalex.org/C2777472644","wikidata":"https://www.wikidata.org/wiki/Q16968992","display_name":"Approximate inference","level":3,"score":0.30070000886917114},{"id":"https://openalex.org/C149441793","wikidata":"https://www.wikidata.org/wiki/Q200726","display_name":"Probability distribution","level":2,"score":0.29260000586509705},{"id":"https://openalex.org/C140779682","wikidata":"https://www.wikidata.org/wiki/Q210868","display_name":"Sampling (signal processing)","level":3,"score":0.28380000591278076},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.2775999903678894},{"id":"https://openalex.org/C155846161","wikidata":"https://www.wikidata.org/wiki/Q1143367","display_name":"Graphical model","level":2,"score":0.2750999927520752},{"id":"https://openalex.org/C44616089","wikidata":"https://www.wikidata.org/wiki/Q30158686","display_name":"Constraint satisfaction","level":3,"score":0.2653000056743622},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.2648000121116638},{"id":"https://openalex.org/C192576344","wikidata":"https://www.wikidata.org/wiki/Q194706","display_name":"Boltzmann machine","level":3,"score":0.2644999921321869},{"id":"https://openalex.org/C162500139","wikidata":"https://www.wikidata.org/wiki/Q2835887","display_name":"Estimation of distribution algorithm","level":2,"score":0.2624000012874603},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2583000063896179},{"id":"https://openalex.org/C2775907273","wikidata":"https://www.wikidata.org/wiki/Q7805281","display_name":"Time constraint","level":2,"score":0.2567000091075897}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.1016/j.arcontrol.2026.101052","is_oa":true,"landing_page_url":"https://doi.org/10.1016/j.arcontrol.2026.101052","pdf_url":null,"source":{"id":"https://openalex.org/S54761077","display_name":"Annual Reviews in Control","issn_l":"1367-5788","issn":["1367-5788","1872-9088"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320990","host_organization_name":"Elsevier BV","host_organization_lineage":["https://openalex.org/P4310320990"],"host_organization_lineage_names":["Elsevier BV"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Annual Reviews in Control","raw_type":"journal-article"},{"id":"pmh:oai:arXiv.org:2511.08019","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2511.08019","pdf_url":"https://arxiv.org/pdf/2511.08019","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":"pmh:doi:10.48550/arxiv.2511.08019","is_oa":true,"landing_page_url":null,"pdf_url":null,"source":{"id":"https://openalex.org/S4406922384","display_name":"Open MIND","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":"repository"},"license":"publisher-specific-oa","license_id":"https://openalex.org/licenses/publisher-specific-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Article"},{"id":"doi:10.48550/arxiv.2511.08019","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2511.08019","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":"doi:10.1016/j.arcontrol.2026.101052","is_oa":true,"landing_page_url":"https://doi.org/10.1016/j.arcontrol.2026.101052","pdf_url":null,"source":{"id":"https://openalex.org/S54761077","display_name":"Annual Reviews in Control","issn_l":"1367-5788","issn":["1367-5788","1872-9088"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320990","host_organization_name":"Elsevier BV","host_organization_lineage":["https://openalex.org/P4310320990"],"host_organization_lineage_names":["Elsevier BV"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Annual Reviews in Control","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320338112","display_name":"Exploratory Research for Advanced Technology","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"This":[0,98],"paper":[1,99],"presents":[2],"a":[3,28,33,65,69,101,108],"tutorial":[4,44],"and":[5,36,50,95,107,114,118],"survey":[6,75],"on":[7,105],"Probabilistic":[8],"Inference-based":[9],"Model":[10,58],"Predictive":[11,59],"Control":[12],"(PI-MPC).":[13],"PI-MPC":[14,80,106],"reformulates":[15],"finite-horizon":[16],"optimal":[17,23],"control":[18,24,34,63,120],"as":[19,27,64],"inference":[20],"over":[21],"an":[22],"distribution":[25,30],"expressed":[26],"Boltzmann":[29],"weighted":[31],"by":[32],"prior,":[35],"generates":[37],"actions":[38],"through":[39],"variational":[40,55],"inference.":[41],"In":[42,73],"the":[43,74],"part,":[45,76],"we":[46,77],"derive":[47],"this":[48],"formulation":[49],"explain":[51],"action":[52],"generation":[53],"via":[54],"inference,":[56],"highlighting":[57],"Path":[60],"Integral":[61],"(MPPI)":[62],"representative":[66],"algorithm":[67],"with":[68],"closed-form":[70],"sampling":[71],"update.":[72],"organize":[78],"existing":[79],"research":[81],"around":[82],"key":[83],"design":[84],"dimensions,":[85],"including":[86],"prior":[87],"design,":[88],"multi-modality,":[89],"constraint":[90],"handling,":[91],"scalability,":[92],"hardware":[93],"acceleration,":[94],"theoretical":[96],"analysis.":[97],"provides":[100],"unified":[102],"conceptual":[103],"perspective":[104],"practical":[109],"entry":[110],"point":[111],"for":[112],"researchers":[113],"practitioners":[115],"in":[116],"robotics":[117],"other":[119],"applications.":[121]},"counts_by_year":[],"updated_date":"2026-07-09T07:52:08.696243","created_date":"2025-11-13T00:00:00"}