{"id":"https://openalex.org/W4294690629","doi":"https://doi.org/10.23919/acc53348.2022.9867295","title":"A Comparison of Neural Network-Based Strategies for Diesel Engine Air Handling Control","display_name":"A Comparison of Neural Network-Based Strategies for Diesel Engine Air Handling Control","publication_year":2022,"publication_date":"2022-06-08","ids":{"openalex":"https://openalex.org/W4294690629","doi":"https://doi.org/10.23919/acc53348.2022.9867295"},"language":"en","primary_location":{"id":"doi:10.23919/acc53348.2022.9867295","is_oa":false,"landing_page_url":"https://doi.org/10.23919/acc53348.2022.9867295","pdf_url":null,"source":{"id":"https://openalex.org/S4363607732","display_name":"2022 American Control Conference (ACC)","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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 American Control Conference (ACC)","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/A5045238792","display_name":"Peng Qian","orcid":"https://orcid.org/0000-0003-4934-5811"},"institutions":[{"id":"https://openalex.org/I180949307","display_name":"Illinois Institute of Technology","ror":"https://ror.org/037t3ry66","country_code":"US","type":"education","lineage":["https://openalex.org/I180949307"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Qian Peng","raw_affiliation_strings":["Illinois Insitute of Technology,Mechanical, Materials, and Aerospace Engineering Department,Chicago,IL,USA,60616"],"affiliations":[{"raw_affiliation_string":"Illinois Insitute of Technology,Mechanical, Materials, and Aerospace Engineering Department,Chicago,IL,USA,60616","institution_ids":["https://openalex.org/I180949307"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5070442387","display_name":"Da Huo","orcid":"https://orcid.org/0000-0001-6254-1150"},"institutions":[{"id":"https://openalex.org/I180949307","display_name":"Illinois Institute of Technology","ror":"https://ror.org/037t3ry66","country_code":"US","type":"education","lineage":["https://openalex.org/I180949307"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Da Huo","raw_affiliation_strings":["Illinois Insitute of Technology,Mechanical, Materials, and Aerospace Engineering Department,Chicago,IL,USA,60616"],"affiliations":[{"raw_affiliation_string":"Illinois Insitute of Technology,Mechanical, Materials, and Aerospace Engineering Department,Chicago,IL,USA,60616","institution_ids":["https://openalex.org/I180949307"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5026464791","display_name":"Carrie M. Hall","orcid":"https://orcid.org/0000-0002-9438-6236"},"institutions":[{"id":"https://openalex.org/I180949307","display_name":"Illinois Institute of Technology","ror":"https://ror.org/037t3ry66","country_code":"US","type":"education","lineage":["https://openalex.org/I180949307"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Carrie M. Hall","raw_affiliation_strings":["Illinois Insitute of Technology,Mechanical, Materials, and Aerospace Engineering Department,Chicago,IL,USA,60616"],"affiliations":[{"raw_affiliation_string":"Illinois Insitute of Technology,Mechanical, Materials, and Aerospace Engineering Department,Chicago,IL,USA,60616","institution_ids":["https://openalex.org/I180949307"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5045238792"],"corresponding_institution_ids":["https://openalex.org/I180949307"],"apc_list":null,"apc_paid":null,"fwci":1.6647,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.82517483,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"3031","last_page":"3037"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10117","display_name":"Advanced Combustion Engine Technologies","score":0.9984999895095825,"subfield":{"id":"https://openalex.org/subfields/1507","display_name":"Fluid Flow and Transfer Processes"},"field":{"id":"https://openalex.org/fields/15","display_name":"Chemical Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10117","display_name":"Advanced Combustion Engine Technologies","score":0.9984999895095825,"subfield":{"id":"https://openalex.org/subfields/1507","display_name":"Fluid Flow and Transfer Processes"},"field":{"id":"https://openalex.org/fields/15","display_name":"Chemical Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12095","display_name":"Vehicle emissions and performance","score":0.9934999942779541,"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/T11372","display_name":"Hydraulic and Pneumatic Systems","score":0.9891999959945679,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.6850943565368652},{"id":"https://openalex.org/keywords/diesel-engine","display_name":"Diesel engine","score":0.647491991519928},{"id":"https://openalex.org/keywords/inlet-manifold","display_name":"Inlet manifold","score":0.6096246838569641},{"id":"https://openalex.org/keywords/mean-effective-pressure","display_name":"Mean effective pressure","score":0.5808541178703308},{"id":"https://openalex.org/keywords/control-theory","display_name":"Control theory (sociology)","score":0.546609103679657},{"id":"https://openalex.org/keywords/automotive-engineering","display_name":"Automotive engineering","score":0.5318652391433716},{"id":"https://openalex.org/keywords/exhaust-gas-recirculation","display_name":"Exhaust gas recirculation","score":0.517257034778595},{"id":"https://openalex.org/keywords/turbocharger","display_name":"Turbocharger","score":0.49992871284484863},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.48790737986564636},{"id":"https://openalex.org/keywords/overshoot","display_name":"Overshoot (microwave communication)","score":0.4626276195049286},{"id":"https://openalex.org/keywords/diesel-fuel","display_name":"Diesel fuel","score":0.4486005902290344},{"id":"https://openalex.org/keywords/feedforward-neural-network","display_name":"Feedforward neural network","score":0.4453003406524658},{"id":"https://openalex.org/keywords/feed-forward","display_name":"Feed forward","score":0.4434509575366974},{"id":"https://openalex.org/keywords/recurrent-neural-network","display_name":"Recurrent neural network","score":0.4295555651187897},{"id":"https://openalex.org/keywords/control-engineering","display_name":"Control engineering","score":0.38623544573783875},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.3480353057384491},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.1949755847454071},{"id":"https://openalex.org/keywords/control","display_name":"Control (management)","score":0.16416895389556885},{"id":"https://openalex.org/keywords/internal-combustion-engine","display_name":"Internal combustion engine","score":0.14737844467163086},{"id":"https://openalex.org/keywords/compression-ratio","display_name":"Compression ratio","score":0.1079312264919281},{"id":"https://openalex.org/keywords/mechanical-engineering","display_name":"Mechanical engineering","score":0.10392865538597107}],"concepts":[{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.6850943565368652},{"id":"https://openalex.org/C2780804531","wikidata":"https://www.wikidata.org/wiki/Q174174","display_name":"Diesel engine","level":2,"score":0.647491991519928},{"id":"https://openalex.org/C3531765","wikidata":"https://www.wikidata.org/wiki/Q568968","display_name":"Inlet manifold","level":3,"score":0.6096246838569641},{"id":"https://openalex.org/C128143373","wikidata":"https://www.wikidata.org/wiki/Q1789953","display_name":"Mean effective pressure","level":4,"score":0.5808541178703308},{"id":"https://openalex.org/C47446073","wikidata":"https://www.wikidata.org/wiki/Q5165890","display_name":"Control theory (sociology)","level":3,"score":0.546609103679657},{"id":"https://openalex.org/C171146098","wikidata":"https://www.wikidata.org/wiki/Q124192","display_name":"Automotive engineering","level":1,"score":0.5318652391433716},{"id":"https://openalex.org/C103206924","wikidata":"https://www.wikidata.org/wiki/Q285028","display_name":"Exhaust gas recirculation","level":3,"score":0.517257034778595},{"id":"https://openalex.org/C21541133","wikidata":"https://www.wikidata.org/wiki/Q185525","display_name":"Turbocharger","level":3,"score":0.49992871284484863},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.48790737986564636},{"id":"https://openalex.org/C2780323453","wikidata":"https://www.wikidata.org/wiki/Q7113957","display_name":"Overshoot (microwave communication)","level":2,"score":0.4626276195049286},{"id":"https://openalex.org/C138171918","wikidata":"https://www.wikidata.org/wiki/Q38423","display_name":"Diesel fuel","level":2,"score":0.4486005902290344},{"id":"https://openalex.org/C47702885","wikidata":"https://www.wikidata.org/wiki/Q5441227","display_name":"Feedforward neural network","level":3,"score":0.4453003406524658},{"id":"https://openalex.org/C38858127","wikidata":"https://www.wikidata.org/wiki/Q5441228","display_name":"Feed forward","level":2,"score":0.4434509575366974},{"id":"https://openalex.org/C147168706","wikidata":"https://www.wikidata.org/wiki/Q1457734","display_name":"Recurrent neural network","level":3,"score":0.4295555651187897},{"id":"https://openalex.org/C133731056","wikidata":"https://www.wikidata.org/wiki/Q4917288","display_name":"Control engineering","level":1,"score":0.38623544573783875},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.3480353057384491},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.1949755847454071},{"id":"https://openalex.org/C2775924081","wikidata":"https://www.wikidata.org/wiki/Q55608371","display_name":"Control (management)","level":2,"score":0.16416895389556885},{"id":"https://openalex.org/C511840579","wikidata":"https://www.wikidata.org/wiki/Q12757","display_name":"Internal combustion engine","level":2,"score":0.14737844467163086},{"id":"https://openalex.org/C25797200","wikidata":"https://www.wikidata.org/wiki/Q828137","display_name":"Compression ratio","level":3,"score":0.1079312264919281},{"id":"https://openalex.org/C78519656","wikidata":"https://www.wikidata.org/wiki/Q101333","display_name":"Mechanical engineering","level":1,"score":0.10392865538597107},{"id":"https://openalex.org/C2778449969","wikidata":"https://www.wikidata.org/wiki/Q130760","display_name":"Turbine","level":2,"score":0.0},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.23919/acc53348.2022.9867295","is_oa":false,"landing_page_url":"https://doi.org/10.23919/acc53348.2022.9867295","pdf_url":null,"source":{"id":"https://openalex.org/S4363607732","display_name":"2022 American Control Conference (ACC)","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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 American Control Conference (ACC)","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":0.8399999737739563}],"awards":[],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":17,"referenced_works":["https://openalex.org/W1507808774","https://openalex.org/W1544535781","https://openalex.org/W1556834384","https://openalex.org/W1566917236","https://openalex.org/W1967040317","https://openalex.org/W1968571118","https://openalex.org/W2019161971","https://openalex.org/W2064675550","https://openalex.org/W2103063167","https://openalex.org/W2136848157","https://openalex.org/W2146893147","https://openalex.org/W2299062586","https://openalex.org/W2622465188","https://openalex.org/W2781310309","https://openalex.org/W2896556344","https://openalex.org/W2991527800","https://openalex.org/W3185128120"],"related_works":["https://openalex.org/W3152280654","https://openalex.org/W1667700916","https://openalex.org/W2110176371","https://openalex.org/W1978161505","https://openalex.org/W2165802639","https://openalex.org/W4385888006","https://openalex.org/W2595346758","https://openalex.org/W2032273799","https://openalex.org/W2244992574","https://openalex.org/W4386201448"],"abstract_inverted_index":{"Diesel":[0],"air":[1,198],"handling":[2,199],"systems":[3,37],"are":[4,42,60,92,99,112,151],"becoming":[5],"increasingly":[6],"complex":[7],"and":[8,18,29,44,55,71,86,105,138,178],"commonly":[9],"feature":[10],"technologies":[11],"such":[12,36],"as":[13,94],"exhaust":[14],"gas":[15],"recirculation":[16],"(EGR)":[17],"variable":[19],"geometry":[20],"turbochargers":[21],"(VGTs)":[22],"in":[23,196],"order":[24],"to":[25,62,102,130,154],"meet":[26],"stringent":[27],"emissions":[28,104],"fuel":[30],"economy":[31],"requirements.":[32],"The":[33,136],"control":[34,63,95,158],"of":[35,165,182],"is":[38,128],"challenging":[39],"because":[40],"they":[41,98],"nonlinear":[43],"have":[45,179],"coupled":[46],"dynamics.":[47],"In":[48,108],"this":[49],"paper,":[50],"artificial":[51],"neural":[52,57,133],"networks":[53,58,134],"(ANNs)":[54],"recurrent":[56],"(RNNs)":[59],"leveraged":[61],"the":[64,87,132,141,160,166,175],"low":[65],"pressure":[66,84],"(LP)":[67],"EGR":[68],"valve":[69],"position":[70,74],"VGT":[72],"vane":[73],"simultaneously":[75],"on":[76,114],"a":[77],"light-duty":[78],"multi-cylinder":[79],"diesel":[80],"engine.":[81],"Intake":[82],"manifold":[83],"(IMP)":[85],"air\u2013fuel":[88],"equivalence":[89],"ratio":[90],"(\u03bb)":[91],"selected":[93,167],"objectives,":[96],"since":[97],"directly":[100],"relevant":[101],"engine":[103,197],"power":[106],"output.":[107],"addition,":[109],"both":[110],"signals":[111],"available":[113],"production":[115],"engines":[116],"so":[117],"no":[118,172],"additional":[119],"hardware":[120],"costs":[121],"will":[122],"be":[123],"introduced.":[124],"Steady-state":[125],"experimental":[126],"data":[127,149,162],"used":[129],"train":[131],"(NNs).":[135],"ANNs":[137],"RNNs":[139],"with":[140,159],"minimum":[142],"mean":[143],"square":[144],"error":[145],"(MSE)":[146],"for":[147,186,193],"training":[148],"sets":[150],"further":[152,194],"compared":[153],"conventional":[155],"proportional-integral":[156],"(PI)":[157],"validation":[161],"sets.":[163],"Both":[164],"NN":[168],"controllers":[169],"show":[170],"almost":[171],"overshoot":[173],"during":[174],"transient":[176],"process":[177],"steady-state":[180],"errors":[181],"less":[183],"than":[184],"4.0%":[185],"IMP":[187],"or":[188],"\u03bb,":[189],"thus":[190],"showing":[191],"potential":[192],"use":[195],"control.":[200]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}