{"id":"https://openalex.org/W7128017784","doi":"https://doi.org/10.1109/iccma67641.2025.11369538","title":"Embedded MPC with CNN Verification for Defect-Preventive Control in FDM 3D Printing","display_name":"Embedded MPC with CNN Verification for Defect-Preventive Control in FDM 3D Printing","publication_year":2025,"publication_date":"2025-11-24","ids":{"openalex":"https://openalex.org/W7128017784","doi":"https://doi.org/10.1109/iccma67641.2025.11369538"},"language":null,"primary_location":{"id":"doi:10.1109/iccma67641.2025.11369538","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iccma67641.2025.11369538","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 13th International Conference on Control, Mechatronics and Automation (ICCMA)","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/A5125232196","display_name":"Suliman Badour","orcid":null},"institutions":[{"id":"https://openalex.org/I44504214","display_name":"Czech Technical University in Prague","ror":"https://ror.org/03kqpb082","country_code":"CZ","type":"education","lineage":["https://openalex.org/I44504214"]}],"countries":["CZ"],"is_corresponding":false,"raw_author_name":"Suliman Badour","raw_affiliation_strings":["Czech Technical University in Prague,Department of Instrumentation and Control Engineering,Prague,Czech Republic"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Czech Technical University in Prague,Department of Instrumentation and Control Engineering,Prague,Czech Republic","institution_ids":["https://openalex.org/I44504214"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5060839136","display_name":"Martin Nov\u00e1k","orcid":"https://orcid.org/0000-0002-2046-8765"},"institutions":[{"id":"https://openalex.org/I44504214","display_name":"Czech Technical University in Prague","ror":"https://ror.org/03kqpb082","country_code":"CZ","type":"education","lineage":["https://openalex.org/I44504214"]}],"countries":["CZ"],"is_corresponding":false,"raw_author_name":"Martin Nov\u00e1k","raw_affiliation_strings":["Czech Technical University in Prague,Department of Instrumentation and Control Engineering,Prague,Czech Republic"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Czech Technical University in Prague,Department of Instrumentation and Control Engineering,Prague,Czech Republic","institution_ids":["https://openalex.org/I44504214"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I44504214"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.68015027,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"209","last_page":"214"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10783","display_name":"Additive Manufacturing and 3D Printing Technologies","score":0.9666000008583069,"subfield":{"id":"https://openalex.org/subfields/2203","display_name":"Automotive 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/T10783","display_name":"Additive Manufacturing and 3D Printing Technologies","score":0.9666000008583069,"subfield":{"id":"https://openalex.org/subfields/2203","display_name":"Automotive 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/T10705","display_name":"Additive Manufacturing Materials and Processes","score":0.009200000204145908,"subfield":{"id":"https://openalex.org/subfields/2210","display_name":"Mechanical 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/T11190","display_name":"3D Printing in Biomedical Research","score":0.0034000000450760126,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical 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/bounded-function","display_name":"Bounded function","score":0.737500011920929},{"id":"https://openalex.org/keywords/probabilistic-logic","display_name":"Probabilistic logic","score":0.5812000036239624},{"id":"https://openalex.org/keywords/estimator","display_name":"Estimator","score":0.5723000168800354},{"id":"https://openalex.org/keywords/controller","display_name":"Controller (irrigation)","score":0.5246000289916992},{"id":"https://openalex.org/keywords/model-predictive-control","display_name":"Model predictive control","score":0.4950999915599823},{"id":"https://openalex.org/keywords/percentile","display_name":"Percentile","score":0.45570001006126404},{"id":"https://openalex.org/keywords/latency","display_name":"Latency (audio)","score":0.44440001249313354},{"id":"https://openalex.org/keywords/control-theory","display_name":"Control theory (sociology)","score":0.4219000041484833}],"concepts":[{"id":"https://openalex.org/C34388435","wikidata":"https://www.wikidata.org/wiki/Q2267362","display_name":"Bounded function","level":2,"score":0.737500011920929},{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.5812000036239624},{"id":"https://openalex.org/C185429906","wikidata":"https://www.wikidata.org/wiki/Q1130160","display_name":"Estimator","level":2,"score":0.5723000168800354},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5590000152587891},{"id":"https://openalex.org/C203479927","wikidata":"https://www.wikidata.org/wiki/Q5165939","display_name":"Controller (irrigation)","level":2,"score":0.5246000289916992},{"id":"https://openalex.org/C172205157","wikidata":"https://www.wikidata.org/wiki/Q1782962","display_name":"Model predictive control","level":3,"score":0.4950999915599823},{"id":"https://openalex.org/C122048520","wikidata":"https://www.wikidata.org/wiki/Q2913954","display_name":"Percentile","level":2,"score":0.45570001006126404},{"id":"https://openalex.org/C82876162","wikidata":"https://www.wikidata.org/wiki/Q17096504","display_name":"Latency (audio)","level":2,"score":0.44440001249313354},{"id":"https://openalex.org/C47446073","wikidata":"https://www.wikidata.org/wiki/Q5165890","display_name":"Control theory (sociology)","level":3,"score":0.4219000041484833},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.3889000117778778},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.3312999904155731},{"id":"https://openalex.org/C178518018","wikidata":"https://www.wikidata.org/wiki/Q1024555","display_name":"CUSUM","level":2,"score":0.32989999651908875},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3098999857902527},{"id":"https://openalex.org/C107464732","wikidata":"https://www.wikidata.org/wiki/Q235781","display_name":"Adaptive control","level":3,"score":0.3027999997138977},{"id":"https://openalex.org/C2779547071","wikidata":"https://www.wikidata.org/wiki/Q608565","display_name":"Cobra","level":2,"score":0.30169999599456787},{"id":"https://openalex.org/C2780617739","wikidata":"https://www.wikidata.org/wiki/Q4680738","display_name":"Adaptive estimator","level":3,"score":0.299699991941452},{"id":"https://openalex.org/C114289077","wikidata":"https://www.wikidata.org/wiki/Q3284399","display_name":"Statistical model","level":2,"score":0.28439998626708984},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.2840000092983246},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.27709999680519104},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.2632000148296356},{"id":"https://openalex.org/C2775924081","wikidata":"https://www.wikidata.org/wiki/Q55608371","display_name":"Control (management)","level":2,"score":0.25850000977516174},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.25679999589920044},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2565000057220459},{"id":"https://openalex.org/C2779530757","wikidata":"https://www.wikidata.org/wiki/Q1207505","display_name":"Quality (philosophy)","level":2,"score":0.2540000081062317},{"id":"https://openalex.org/C2779714256","wikidata":"https://www.wikidata.org/wiki/Q25305062","display_name":"Multiple Models","level":2,"score":0.25099998712539673}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iccma67641.2025.11369538","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iccma67641.2025.11369538","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 13th International Conference on Control, Mechatronics and Automation (ICCMA)","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":14,"referenced_works":["https://openalex.org/W2615836285","https://openalex.org/W2769646558","https://openalex.org/W3102456404","https://openalex.org/W4206816039","https://openalex.org/W4285290533","https://openalex.org/W4288069874","https://openalex.org/W4313392409","https://openalex.org/W4315780165","https://openalex.org/W4366401655","https://openalex.org/W4401022459","https://openalex.org/W4405371197","https://openalex.org/W4405491982","https://openalex.org/W4405633961","https://openalex.org/W4409581514"],"related_works":[],"abstract_inverted_index":{"We":[0],"present":[1],"an":[2,61],"embedded,":[3],"closed-loop":[4],"controller":[5,28],"that":[6,192],"prevents":[7],"defects":[8,130],"in":[9],"fused-deposition":[10],"modeling":[11],"(FDM)":[12],"by":[13],"combining":[14],"a":[15,20,24,36,48,50,79,95,103,126],"probabilistic":[16],"defect":[17],"estimator":[18],"with":[19,106,156,195],"vision":[21],"verifier":[22],"and":[23,60,72,83,115,140],"constraint-handling":[25],"model":[26,75],"predictive":[27,152],"(MPC).":[29],"A":[30],"10-D":[31],"multi-sensor":[32,193],"feature":[33],"vector":[34],"drives":[35],"logistic":[37],"Defect-Probability":[38],"Estimator":[39],"(DPE)":[40],"refreshed":[41],"every":[42],"200ms;":[43],"when":[44],"the":[45,99,178],"probability":[46],"exceeds":[47],"threshold,":[49],"lightweight":[51],"YOLOv4-tiny":[52],"Vision":[53],"Anomaly":[54],"Verifier":[55],"(VAV)":[56],"refines":[57],"high-risk":[58],"events,":[59],"OSQP-based":[62],"MPC":[63,199],"computes":[64],"bounded":[65,92],"adjustments":[66],"to":[67,87,134,138,146,149,170],"nozzle/bed":[68],"temperatures,":[69],"speed,":[70],"flow,":[71],"fan":[73],"duty.We":[74],"thermo\u2013extrusion":[76],"dynamics":[77],"as":[78],"disturbed":[80],"linear":[81],"system":[82],"enforce":[84],"tightened":[85],"constraints":[86],"guarantee":[88],"recursive":[89],"feasibility":[90],"under":[91],"disturbances.":[93],"On":[94],"Raspberry":[96],"Pi":[97],"5,":[98],"full":[100],"loop":[101],"meets":[102],"200ms":[104],"budget":[105],"mean":[107],"latency":[108],"132ms":[109],"(6ms":[110],"CI),":[111],"99th":[112],"percentile":[113],"160ms,":[114],"worst":[116],"case":[117],"183ms.":[118],"When":[119],"evaluated":[120],"on":[121,125,186],"1000":[122],"PLA":[123],"prints":[124],"Prusa":[127],"i3":[128],"MK3S,":[129],"dropped":[131],"from":[132,144],"200":[133],"80":[135],"jobs":[136,168],"(20%":[137],"8%),":[139],"flawless":[141],"completions":[142],"rose":[143],"650":[145],"880":[147],"(65%":[148],"88%).":[150],"The":[151,160,189],"accuracy":[153],"reached":[154],"91.2%":[155],"monthly":[157],"adaptive":[158],"retraining.":[159],"material":[161],"savings":[162],"are":[163],"about":[164],"1kg":[165],"per":[166],"100":[167],"(up":[169],"2kg;":[171],"approximately":[172],"1\u20132":[173],"spools),":[174],"which":[175],"can":[176],"recoup":[177],"$120\u2013$150":[179],"sensor":[180],"cost":[181],"within":[182],"3\u201312":[183],"months":[184],"depending":[185],"failure":[187],"rates.":[188],"results":[190],"indicate":[191],"prediction":[194],"risk-gated,":[196],"CNN-assisted":[197],"robust":[198],"enables":[200],"reliable,":[201],"low-cost":[202],"quality":[203],"control":[204],"for":[205],"FDM.":[206]},"counts_by_year":[],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2026-02-07T00:00:00"}