{"id":"https://openalex.org/W4205188516","doi":"https://doi.org/10.1109/tie.2022.3140489","title":"A Deep Residual Recurrent Neural Network Model-Augmented Attention With Physical Characteristics: Application to Turntable Servo System","display_name":"A Deep Residual Recurrent Neural Network Model-Augmented Attention With Physical Characteristics: Application to Turntable Servo System","publication_year":2022,"publication_date":"2022-01-11","ids":{"openalex":"https://openalex.org/W4205188516","doi":"https://doi.org/10.1109/tie.2022.3140489"},"language":"en","primary_location":{"id":"doi:10.1109/tie.2022.3140489","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tie.2022.3140489","pdf_url":null,"source":{"id":"https://openalex.org/S58031724","display_name":"IEEE Transactions on Industrial Electronics","issn_l":"0278-0046","issn":["0278-0046","1557-9948"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Industrial Electronics","raw_type":"journal-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/A5103028846","display_name":"Cheng Xie","orcid":"https://orcid.org/0000-0001-5215-3699"},"institutions":[{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Cheng Xie","raw_affiliation_strings":["Control and Simulation Center and School of Astronautics, Harbin Institute of Technology, Harbin, China"],"raw_orcid":"https://orcid.org/0000-0001-5215-3699","affiliations":[{"raw_affiliation_string":"Control and Simulation Center and School of Astronautics, Harbin Institute of Technology, Harbin, China","institution_ids":["https://openalex.org/I204983213"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101686396","display_name":"Songlin Chen","orcid":"https://orcid.org/0000-0002-3030-4393"},"institutions":[{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Songlin Chen","raw_affiliation_strings":["Control and Simulation Center and School of Astronautics, Harbin Institute of Technology, Harbin, China"],"raw_orcid":"https://orcid.org/0000-0002-3030-4393","affiliations":[{"raw_affiliation_string":"Control and Simulation Center and School of Astronautics, Harbin Institute of Technology, Harbin, China","institution_ids":["https://openalex.org/I204983213"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103006387","display_name":"Fengyu Guo","orcid":"https://orcid.org/0000-0002-0200-676X"},"institutions":[{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fengyu Guo","raw_affiliation_strings":["Control and Simulation Center and School of Astronautics, Harbin Institute of Technology, Harbin, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Control and Simulation Center and School of Astronautics, Harbin Institute of Technology, Harbin, China","institution_ids":["https://openalex.org/I204983213"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5054834785","display_name":"Xiaokun Liu","orcid":"https://orcid.org/0000-0002-8636-9743"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Xiaokun Liu","raw_affiliation_strings":["Aerospace System Engineering, Shanghai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Aerospace System Engineering, Shanghai, China","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5103028846"],"corresponding_institution_ids":["https://openalex.org/I204983213"],"apc_list":null,"apc_paid":null,"fwci":2.128,"has_fulltext":false,"cited_by_count":17,"citation_normalized_percentile":{"value":0.87105087,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":"69","issue":"12","first_page":"13287","last_page":"13295"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11206","display_name":"Model Reduction and Neural Networks","score":0.9969000220298767,"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"}},"topics":[{"id":"https://openalex.org/T11206","display_name":"Model Reduction and Neural Networks","score":0.9969000220298767,"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"}},{"id":"https://openalex.org/T10876","display_name":"Fault Detection and Control Systems","score":0.9927999973297119,"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/T11372","display_name":"Hydraulic and Pneumatic Systems","score":0.9908999800682068,"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/residual","display_name":"Residual","score":0.6593376398086548},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.6504156589508057},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.609018087387085},{"id":"https://openalex.org/keywords/servo","display_name":"Servo","score":0.4801585078239441},{"id":"https://openalex.org/keywords/recurrent-neural-network","display_name":"Recurrent neural network","score":0.4742361903190613},{"id":"https://openalex.org/keywords/control-engineering","display_name":"Control engineering","score":0.4698048233985901},{"id":"https://openalex.org/keywords/servomechanism","display_name":"Servomechanism","score":0.46467170119285583},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.44459185004234314},{"id":"https://openalex.org/keywords/servomotor","display_name":"Servomotor","score":0.4190340042114258},{"id":"https://openalex.org/keywords/control-theory","display_name":"Control theory (sociology)","score":0.38405272364616394},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.2959958612918854},{"id":"https://openalex.org/keywords/control","display_name":"Control (management)","score":0.18491864204406738},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.08476507663726807}],"concepts":[{"id":"https://openalex.org/C155512373","wikidata":"https://www.wikidata.org/wiki/Q287450","display_name":"Residual","level":2,"score":0.6593376398086548},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.6504156589508057},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.609018087387085},{"id":"https://openalex.org/C107354338","wikidata":"https://www.wikidata.org/wiki/Q1937153","display_name":"Servo","level":2,"score":0.4801585078239441},{"id":"https://openalex.org/C147168706","wikidata":"https://www.wikidata.org/wiki/Q1457734","display_name":"Recurrent neural network","level":3,"score":0.4742361903190613},{"id":"https://openalex.org/C133731056","wikidata":"https://www.wikidata.org/wiki/Q4917288","display_name":"Control engineering","level":1,"score":0.4698048233985901},{"id":"https://openalex.org/C49503481","wikidata":"https://www.wikidata.org/wiki/Q640815","display_name":"Servomechanism","level":2,"score":0.46467170119285583},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.44459185004234314},{"id":"https://openalex.org/C109441226","wikidata":"https://www.wikidata.org/wiki/Q1137255","display_name":"Servomotor","level":2,"score":0.4190340042114258},{"id":"https://openalex.org/C47446073","wikidata":"https://www.wikidata.org/wiki/Q5165890","display_name":"Control theory (sociology)","level":3,"score":0.38405272364616394},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.2959958612918854},{"id":"https://openalex.org/C2775924081","wikidata":"https://www.wikidata.org/wiki/Q55608371","display_name":"Control (management)","level":2,"score":0.18491864204406738},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.08476507663726807}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tie.2022.3140489","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tie.2022.3140489","pdf_url":null,"source":{"id":"https://openalex.org/S58031724","display_name":"IEEE Transactions on Industrial Electronics","issn_l":"0278-0046","issn":["0278-0046","1557-9948"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Industrial Electronics","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.7400000095367432,"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions"}],"awards":[{"id":"https://openalex.org/G6021011095","display_name":null,"funder_award_id":"61773138","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7598760966","display_name":null,"funder_award_id":"19ZR1455600","funder_id":"https://openalex.org/F4320309612","funder_display_name":"Natural Science Foundation of Shanghai"}],"funders":[{"id":"https://openalex.org/F4320309612","display_name":"Natural Science Foundation of Shanghai","ror":null},{"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":32,"referenced_works":["https://openalex.org/W819098719","https://openalex.org/W1571530861","https://openalex.org/W1925981241","https://openalex.org/W1971771294","https://openalex.org/W1988876996","https://openalex.org/W2009061689","https://openalex.org/W2084633092","https://openalex.org/W2131329059","https://openalex.org/W2135216999","https://openalex.org/W2137983211","https://openalex.org/W2157638198","https://openalex.org/W2194775991","https://openalex.org/W2202757687","https://openalex.org/W2528305538","https://openalex.org/W2534240011","https://openalex.org/W2546832470","https://openalex.org/W2604099671","https://openalex.org/W2798023726","https://openalex.org/W2811038404","https://openalex.org/W2884775584","https://openalex.org/W2897854721","https://openalex.org/W2899283552","https://openalex.org/W2906146416","https://openalex.org/W2913466073","https://openalex.org/W2924372725","https://openalex.org/W2945236893","https://openalex.org/W2975813758","https://openalex.org/W2981211910","https://openalex.org/W2981479875","https://openalex.org/W2998913734","https://openalex.org/W3120684150","https://openalex.org/W6766978945"],"related_works":["https://openalex.org/W2790400419","https://openalex.org/W2080331776","https://openalex.org/W2045478930","https://openalex.org/W2115261773","https://openalex.org/W2021648837","https://openalex.org/W161603712","https://openalex.org/W2320805319","https://openalex.org/W1984747759","https://openalex.org/W4252349560","https://openalex.org/W1490629594"],"abstract_inverted_index":{"Turntable":[0],"servo":[1,60],"systems":[2],"are":[3],"affected":[4],"by":[5,158],"working":[6],"status":[7],"changing":[8],"in":[9,171,179],"actual":[10],"work,":[11],"thus,":[12],"bringing":[13],"some":[14],"uncertain":[15],"factors.":[16],"Having":[17],"models":[18],"that":[19,166],"have":[20],"accurate":[21,53],"predictive":[22],"capabilities":[23],"can":[24,75,104,140,154,174,194],"be":[25,141,155,195],"valuable":[26],"for":[27,57],"control":[28],"and":[29,125,147],"decision-making":[30],"purposes.":[31],"This":[32],"article":[33,115,173],"proposes":[34,116],"a":[35,58],"deep":[36],"residual":[37,72],"recurrent":[38,85],"neural":[39,86],"network":[40,73],"(DRRNN)":[41],"model-augmented":[42],"attention":[43,88,102],"with":[44,129,185],"physical":[45,65],"characteristics,":[46],"which":[47],"is":[48,90],"used":[49,91],"to":[50,92],"build":[51],"an":[52,117],"speed":[54,178],"prediction":[55],"model":[56,74,89,127,153,169],"turntable":[59],"system.":[61],"Integrating":[62],"the":[63,68,71,77,80,84,94,101,107,110,123,136,145,148,152,160,167,176,186,191],"known":[64],"features":[66],"into":[67],"design":[69],"of":[70,79,100,109,151],"increase":[76],"interpretability":[78],"overall":[81,146],"model.":[82,112,162],"Meanwhile,":[83],"network-augmented":[87],"represent":[93],"unknown":[95],"nonlinear":[96,111,126,149],"characteristics.":[97],"The":[98],"addition":[99],"mechanism":[103,188],"effectively":[105],"improve":[106],"accuracy":[108,139,193],"Finally,":[113],"this":[114,172],"iterative":[118],"identification":[119],"method":[120],"based":[121],"on":[122],"linear":[124,137],"error":[128,134],"alternative":[130],"compensation.":[131],"Through":[132],"alternating":[133],"compensation,":[135],"model\u2019s":[138],"continuously":[142],"improved,":[143],"then":[144],"part":[150],"established":[156],"accurately":[157],"retraining":[159],"whole":[161],"Experimental":[163],"results":[164],"show":[165],"DRRNN":[168],"designed":[170],"predict":[175],"rotational":[177],"single-step":[180],"or":[181],"multistep":[182],"well.":[183],"Compared":[184],"traditional":[187],"modeling":[189,192],"method,":[190],"greatly":[196],"improved.":[197]},"counts_by_year":[{"year":2025,"cited_by_count":6},{"year":2024,"cited_by_count":7},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}