{"id":"https://openalex.org/W7140172011","doi":"https://doi.org/10.5267/j.ijiec.2026.1.004","title":"Research on phase-aware uncertainty quantification for UAVs based on bayesian inference and polynomial chaos expansion","display_name":"Research on phase-aware uncertainty quantification for UAVs based on bayesian inference and polynomial chaos expansion","publication_year":2026,"publication_date":"2026-01-01","ids":{"openalex":"https://openalex.org/W7140172011","doi":"https://doi.org/10.5267/j.ijiec.2026.1.004"},"language":"en","primary_location":{"id":"doi:10.5267/j.ijiec.2026.1.004","doi":"https://doi.org/10.5267/j.ijiec.2026.1.004","is_oa":true,"landing_page_url":"https://doi.org/10.5267/j.ijiec.2026.1.004","pdf_url":"https://doi.org/10.5267/j.ijiec.2026.1.004","source":{"id":"https://openalex.org/S159818241","display_name":"International Journal of Industrial Engineering Computations","issn_l":"1923-2934","issn":["1923-2934","1923-2926"],"is_oa":true,"is_in_doaj":false,"is_core":true,"listed_in":["cwts-core","poland-70","russia-white-list-1"],"host_organization":"https://openalex.org/P4310312984","host_organization_name":"Growing Science","host_organization_lineage":["https://openalex.org/P4310312984"],"host_organization_lineage_names":["Growing Science"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Industrial Engineering Computations","raw_type":"journal-article"},"volume":null,"type":"article","is_traditional":true,"indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"diamond","oa_url":"https://doi.org/10.5267/j.ijiec.2026.1.004","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5123841021","display_name":"Shi Qiu","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I4210163363","display_name":"PLA Army Engineering University","ror":"https://ror.org/05mgp8x93","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210163363"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shi Qiu","raw_affiliation_strings":["Army Engineering University , China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Army Engineering University , China","institution_ids":["https://openalex.org/I4210163363"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5146895272","display_name":"Zhao Rui Li","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I4210163363","display_name":"PLA Army Engineering University","ror":"https://ror.org/05mgp8x93","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210163363"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhao Rui Li","raw_affiliation_strings":["Army Engineering University , China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Army Engineering University , China","institution_ids":["https://openalex.org/I4210163363"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5137909120","display_name":"Huixian Sun","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I4210163363","display_name":"PLA Army Engineering University","ror":"https://ror.org/05mgp8x93","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210163363"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Huixian Sun","raw_affiliation_strings":["Army Engineering University , China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Army Engineering University , China","institution_ids":["https://openalex.org/I4210163363"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101584196","display_name":"Baofeng Guo","orcid":"https://orcid.org/0000-0002-8250-2295","observed_orcids":["https://orcid.org/0000-0002-8250-2295"]},"institutions":[{"id":"https://openalex.org/I4210163363","display_name":"PLA Army Engineering University","ror":"https://ror.org/05mgp8x93","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210163363"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Baofeng Guo","raw_affiliation_strings":["Army Engineering University , China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Army Engineering University , China","institution_ids":["https://openalex.org/I4210163363"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I4210163363"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.0,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"17","issue":"2","first_page":"737","last_page":"756"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10928","display_name":"Probabilistic and Robust Engineering Design","score":0.8378999829292297,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"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/T10928","display_name":"Probabilistic and Robust Engineering Design","score":0.8378999829292297,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"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/T12125","display_name":"Aerospace and Aviation Technology","score":0.14749999344348907,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace 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/T12814","display_name":"Gaussian Processes and Bayesian Inference","score":0.002099999925121665,"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/unmanned-aerial-vehicles","display_name":"unmanned aerial vehicles","score":0.9700000286102295},{"id":"https://openalex.org/keywords/uncertainty-quantification","display_name":"uncertainty quantification","score":0.972000002861023},{"id":"https://openalex.org/keywords/bayesian-inference","display_name":"Bayesian inference","score":0.7860000133514404},{"id":"https://openalex.org/keywords/polynomial-chaos-expansion","display_name":"polynomial chaos expansion","score":0.9980000257492065},{"id":"https://openalex.org/keywords/historical-flight-data","display_name":"historical flight data","score":0.8450000286102295},{"id":"https://openalex.org/keywords/parameter-estimation","display_name":"parameter estimation","score":0.8100000023841858},{"id":"https://openalex.org/keywords/gaussian-process-regression","display_name":"Gaussian process regression","score":0.7860000133514404},{"id":"https://openalex.org/keywords/aerodynamic-coefficients","display_name":"aerodynamic coefficients","score":0.9409999847412109},{"id":"https://openalex.org/keywords/prior-distributions","display_name":"prior distributions","score":0.47999998927116394}],"concepts":[{"id":"https://openalex.org/C197656079","wikidata":"https://www.wikidata.org/wiki/Q17147719","display_name":"Polynomial chaos","level":3,"score":0.8888000249862671},{"id":"https://openalex.org/C32230216","wikidata":"https://www.wikidata.org/wiki/Q7882499","display_name":"Uncertainty quantification","level":2,"score":0.8664000034332275},{"id":"https://openalex.org/C72898154","wikidata":"https://www.wikidata.org/wiki/Q458038","display_name":"Flight envelope","level":3,"score":0.7246000170707703},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.5085999965667725},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5062999725341797},{"id":"https://openalex.org/C61326573","wikidata":"https://www.wikidata.org/wiki/Q1496376","display_name":"Gaussian process","level":3,"score":0.4991999864578247},{"id":"https://openalex.org/C176147448","wikidata":"https://www.wikidata.org/wiki/Q1889114","display_name":"Sensitivity analysis","level":3,"score":0.4684000015258789},{"id":"https://openalex.org/C90119067","wikidata":"https://www.wikidata.org/wiki/Q43260","display_name":"Polynomial","level":2,"score":0.42239999771118164},{"id":"https://openalex.org/C177769412","wikidata":"https://www.wikidata.org/wiki/Q278090","display_name":"Prior probability","level":3,"score":0.42010000348091125},{"id":"https://openalex.org/C160234255","wikidata":"https://www.wikidata.org/wiki/Q812535","display_name":"Bayesian inference","level":3,"score":0.4198000133037567},{"id":"https://openalex.org/C13393347","wikidata":"https://www.wikidata.org/wiki/Q8424","display_name":"Aerodynamics","level":2,"score":0.41339999437332153},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.40700000524520874},{"id":"https://openalex.org/C137209882","wikidata":"https://www.wikidata.org/wiki/Q1403517","display_name":"Measurement uncertainty","level":2,"score":0.4000999927520752},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.39719998836517334},{"id":"https://openalex.org/C65155139","wikidata":"https://www.wikidata.org/wiki/Q5380912","display_name":"Envelope (radar)","level":3,"score":0.39579999446868896},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.37470000982284546},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.3675999939441681},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.36550000309944153},{"id":"https://openalex.org/C2777052490","wikidata":"https://www.wikidata.org/wiki/Q5072826","display_name":"Chaotic","level":2,"score":0.3614000082015991},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.33399999141693115},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.33169999718666077},{"id":"https://openalex.org/C81692654","wikidata":"https://www.wikidata.org/wiki/Q225926","display_name":"Kriging","level":2,"score":0.31839999556541443},{"id":"https://openalex.org/C177803969","wikidata":"https://www.wikidata.org/wiki/Q29205","display_name":"Uncertainty analysis","level":2,"score":0.3138999938964844},{"id":"https://openalex.org/C120068334","wikidata":"https://www.wikidata.org/wiki/Q45343","display_name":"Polynomial regression","level":3,"score":0.3102000057697296},{"id":"https://openalex.org/C47446073","wikidata":"https://www.wikidata.org/wiki/Q5165890","display_name":"Control theory (sociology)","level":3,"score":0.3093000054359436},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.30309998989105225},{"id":"https://openalex.org/C123614077","wikidata":"https://www.wikidata.org/wiki/Q1364905","display_name":"Propagation of uncertainty","level":2,"score":0.3025999963283539},{"id":"https://openalex.org/C167928553","wikidata":"https://www.wikidata.org/wiki/Q1376021","display_name":"Estimation theory","level":2,"score":0.2992999851703644},{"id":"https://openalex.org/C206923515","wikidata":"https://www.wikidata.org/wiki/Q5459269","display_name":"Flight dynamics","level":3,"score":0.2847000062465668},{"id":"https://openalex.org/C13662910","wikidata":"https://www.wikidata.org/wiki/Q193139","display_name":"Trajectory","level":2,"score":0.26739999651908875},{"id":"https://openalex.org/C149441793","wikidata":"https://www.wikidata.org/wiki/Q200726","display_name":"Probability distribution","level":2,"score":0.267300009727478},{"id":"https://openalex.org/C131675550","wikidata":"https://www.wikidata.org/wiki/Q7646884","display_name":"Surrogate model","level":2,"score":0.263700008392334},{"id":"https://openalex.org/C31531917","wikidata":"https://www.wikidata.org/wiki/Q915157","display_name":"Robust control","level":3,"score":0.2630999982357025},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2624000012874603},{"id":"https://openalex.org/C58489278","wikidata":"https://www.wikidata.org/wiki/Q1172284","display_name":"Data set","level":2,"score":0.25690001249313354}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.5267/j.ijiec.2026.1.004","doi":"https://doi.org/10.5267/j.ijiec.2026.1.004","is_oa":true,"landing_page_url":"https://doi.org/10.5267/j.ijiec.2026.1.004","pdf_url":"https://doi.org/10.5267/j.ijiec.2026.1.004","source":{"id":"https://openalex.org/S159818241","display_name":"International Journal of Industrial Engineering Computations","issn_l":"1923-2934","issn":["1923-2934","1923-2926"],"is_oa":true,"is_in_doaj":false,"is_core":true,"listed_in":["cwts-core","poland-70","russia-white-list-1"],"host_organization":"https://openalex.org/P4310312984","host_organization_name":"Growing Science","host_organization_lineage":["https://openalex.org/P4310312984"],"host_organization_lineage_names":["Growing Science"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Industrial Engineering Computations","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.5267/j.ijiec.2026.1.004","doi":"https://doi.org/10.5267/j.ijiec.2026.1.004","is_oa":true,"landing_page_url":"https://doi.org/10.5267/j.ijiec.2026.1.004","pdf_url":"https://doi.org/10.5267/j.ijiec.2026.1.004","source":{"id":"https://openalex.org/S159818241","display_name":"International Journal of Industrial Engineering Computations","issn_l":"1923-2934","issn":["1923-2934","1923-2926"],"is_oa":true,"is_in_doaj":false,"is_core":true,"listed_in":["cwts-core","poland-70","russia-white-list-1"],"host_organization":"https://openalex.org/P4310312984","host_organization_name":"Growing Science","host_organization_lineage":["https://openalex.org/P4310312984"],"host_organization_lineage_names":["Growing Science"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Industrial Engineering Computations","raw_type":"journal-article"},"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W7140172011.pdf","grobid_xml":"https://content.openalex.org/works/W7140172011.grobid-xml"},"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W7160533246","https://openalex.org/W3191645062","https://openalex.org/W6997066095","https://openalex.org/W2319263640","https://openalex.org/W2948418560","https://openalex.org/W2981314148","https://openalex.org/W2796332174","https://openalex.org/W4383109535","https://openalex.org/W3008600701","https://openalex.org/W4408079763"],"abstract_inverted_index":{"The":[0],"flight":[1,30,86,107],"process":[2],"of":[3,35],"unmanned":[4],"aerial":[5],"vehicles":[6],"(UAVs)":[7],"is":[8,37],"influenced":[9],"by":[10,136],"various":[11],"uncertain":[12,128],"parameters,":[13],"such":[14,69],"as":[15,44],"air":[16],"density,":[17],"aerodynamic":[18],"coefficients,":[19],"and":[20,39,74,159,168],"propulsion":[21],"system":[22],"thrust.":[23],"Prior":[24],"to":[25,48,80,109,122],"mission":[26],"execution,":[27],"predicting":[28],"the":[29,33,45,161],"envelope":[31],"under":[32,155],"impact":[34,134],"uncertainties":[36,93],"critical,":[38],"uncertainty":[40,151],"quantification":[41,152],"(UQ)":[42],"serves":[43],"key":[46],"method":[47,103],"address":[49],"this":[50,148],"challenge.":[51],"Traditionally,":[52],"in":[53,94],"UAV":[54],"UQ":[55,135],"analysis,":[56],"unknown":[57],"parameters":[58,111],"are":[59,75],"often":[60],"assigned":[61],"specific":[62],"distributions":[63,126,132],"based":[64],"on":[65],"prior":[66,120],"knowledge.":[67],"However,":[68],"priors":[70],"may":[71],"be":[72],"subjective":[73],"frequently":[76],"set":[77],"overly":[78,145],"conservatively":[79],"meet":[81],"safety":[82],"margins.":[83],"Conversely,":[84],"historical":[85,106],"data":[87,108],"holds":[88],"immense":[89],"value":[90],"for":[91,127,153],"quantifying":[92],"reusable":[95],"or":[96,144],"identical-model":[97],"UAVs.":[98],"This":[99],"paper":[100,149],"proposes":[101],"a":[102],"that":[104],"utilizes":[105],"estimate":[110],"through":[112],"Bayesian":[113],"inference,":[114],"then":[115],"fuses":[116],"these":[117],"estimates":[118],"with":[119],"knowledge":[121],"establish":[123],"more":[124],"objective":[125],"parameters.":[129],"Reasonable":[130],"parameter":[131],"positively":[133],"preventing":[137],"control":[138],"strategies":[139],"from":[140],"being":[141],"insufficiently":[142],"robust":[143],"redundant.":[146],"Therefore,":[147],"explores":[150],"UAVs":[154],"different":[156],"information":[157],"sources":[158],"accelerates":[160],"algorithm":[162],"using":[163],"Gaussian":[164],"Process":[165],"Regression":[166],"(GPR)":[167],"Polynomial":[169],"Chaotic":[170],"Expansion":[171],"(PCE).":[172]},"counts_by_year":[],"updated_date":"2026-11-12T12:28:57.059296","created_date":"2026-03-25T00:00:00"}