{"id":"https://openalex.org/W4415256952","doi":"https://doi.org/10.1109/tie.2025.3600552","title":"ERL-Fill: An Emotion-Aware Reinforcement Learning Framework With Staged Pretraining for Gas\u2013Solid Flow Filling Control","display_name":"ERL-Fill: An Emotion-Aware Reinforcement Learning Framework With Staged Pretraining for Gas\u2013Solid Flow Filling Control","publication_year":2025,"publication_date":"2025-10-16","ids":{"openalex":"https://openalex.org/W4415256952","doi":"https://doi.org/10.1109/tie.2025.3600552"},"language":null,"primary_location":{"id":"doi:10.1109/tie.2025.3600552","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tie.2025.3600552","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/A5101386608","display_name":"Qihang Ma","orcid":null},"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":"Qihang Ma","raw_affiliation_strings":["School of Mechatronics Engineering, Harbin Institute of Technology, Harbin, China"],"affiliations":[{"raw_affiliation_string":"School of Mechatronics Engineering, Harbin Institute of Technology, Harbin, China","institution_ids":["https://openalex.org/I204983213"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5045311681","display_name":"Gaoliang Peng","orcid":"https://orcid.org/0000-0002-8543-9455"},"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":"Gaoliang Peng","raw_affiliation_strings":["School of Mechatronics Engineering, Harbin Institute of Technology, Harbin, China"],"affiliations":[{"raw_affiliation_string":"School of Mechatronics Engineering, Harbin Institute of Technology, Harbin, China","institution_ids":["https://openalex.org/I204983213"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100441570","display_name":"W\u011bi Zh\u0101ng","orcid":"https://orcid.org/0000-0002-1533-6979"},"institutions":[{"id":"https://openalex.org/I4394709157","display_name":"Eastern Institute of Technology, Ningbo","ror":"https://ror.org/036mbz113","country_code":null,"type":"education","lineage":["https://openalex.org/I4394709157"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wei Zhang","raw_affiliation_strings":["College of Information Science and Technology, Eastern Institute of Technology, Ningbo, China"],"affiliations":[{"raw_affiliation_string":"College of Information Science and Technology, Eastern Institute of Technology, Ningbo, China","institution_ids":["https://openalex.org/I4394709157"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5114889657","display_name":"Jinghan Wang","orcid":"https://orcid.org/0009-0004-9977-1848"},"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":"Jinghan Wang","raw_affiliation_strings":["School of Mechatronics Engineering, Harbin Institute of Technology, Harbin, China"],"affiliations":[{"raw_affiliation_string":"School of Mechatronics Engineering, Harbin Institute of Technology, Harbin, China","institution_ids":["https://openalex.org/I204983213"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5101386608"],"corresponding_institution_ids":["https://openalex.org/I204983213"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.16094763,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"73","issue":"2","first_page":"2564","last_page":"2575"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12761","display_name":"Data Stream Mining Techniques","score":0.9810000061988831,"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"}},"topics":[{"id":"https://openalex.org/T12761","display_name":"Data Stream Mining Techniques","score":0.9810000061988831,"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"}},{"id":"https://openalex.org/T10462","display_name":"Reinforcement Learning in Robotics","score":0.9577999711036682,"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"}},{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9312999844551086,"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/reinforcement-learning","display_name":"Reinforcement learning","score":0.7407000064849854},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.6646999716758728},{"id":"https://openalex.org/keywords/control","display_name":"Control (management)","score":0.42809998989105225},{"id":"https://openalex.org/keywords/flow-control","display_name":"Flow control (data)","score":0.3928000032901764},{"id":"https://openalex.org/keywords/control-system","display_name":"Control system","score":0.38119998574256897},{"id":"https://openalex.org/keywords/adaptive-control","display_name":"Adaptive control","score":0.38089999556541443},{"id":"https://openalex.org/keywords/adapter","display_name":"Adapter (computing)","score":0.37720000743865967},{"id":"https://openalex.org/keywords/reinforcement","display_name":"Reinforcement","score":0.3278000056743622}],"concepts":[{"id":"https://openalex.org/C97541855","wikidata":"https://www.wikidata.org/wiki/Q830687","display_name":"Reinforcement learning","level":2,"score":0.7407000064849854},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7199000120162964},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.6646999716758728},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.43810001015663147},{"id":"https://openalex.org/C2775924081","wikidata":"https://www.wikidata.org/wiki/Q55608371","display_name":"Control (management)","level":2,"score":0.42809998989105225},{"id":"https://openalex.org/C186766456","wikidata":"https://www.wikidata.org/wiki/Q612457","display_name":"Flow control (data)","level":2,"score":0.3928000032901764},{"id":"https://openalex.org/C17500928","wikidata":"https://www.wikidata.org/wiki/Q959968","display_name":"Control system","level":2,"score":0.38119998574256897},{"id":"https://openalex.org/C107464732","wikidata":"https://www.wikidata.org/wiki/Q235781","display_name":"Adaptive control","level":3,"score":0.38089999556541443},{"id":"https://openalex.org/C177284502","wikidata":"https://www.wikidata.org/wiki/Q1005390","display_name":"Adapter (computing)","level":2,"score":0.37720000743865967},{"id":"https://openalex.org/C133731056","wikidata":"https://www.wikidata.org/wiki/Q4917288","display_name":"Control engineering","level":1,"score":0.3474000096321106},{"id":"https://openalex.org/C67203356","wikidata":"https://www.wikidata.org/wiki/Q1321905","display_name":"Reinforcement","level":2,"score":0.3278000056743622},{"id":"https://openalex.org/C89611455","wikidata":"https://www.wikidata.org/wiki/Q6804646","display_name":"Mechanism (biology)","level":2,"score":0.32100000977516174},{"id":"https://openalex.org/C31531917","wikidata":"https://www.wikidata.org/wiki/Q915157","display_name":"Robust control","level":3,"score":0.3100999891757965},{"id":"https://openalex.org/C52970973","wikidata":"https://www.wikidata.org/wiki/Q2497134","display_name":"Adaptive system","level":2,"score":0.2971999943256378},{"id":"https://openalex.org/C44154836","wikidata":"https://www.wikidata.org/wiki/Q45045","display_name":"Simulation","level":1,"score":0.29249998927116394},{"id":"https://openalex.org/C160191386","wikidata":"https://www.wikidata.org/wiki/Q868299","display_name":"Control flow","level":2,"score":0.2921000123023987},{"id":"https://openalex.org/C90509273","wikidata":"https://www.wikidata.org/wiki/Q11012","display_name":"Robot","level":2,"score":0.2703000009059906},{"id":"https://openalex.org/C38349280","wikidata":"https://www.wikidata.org/wiki/Q1434290","display_name":"Flow (mathematics)","level":2,"score":0.2678999900817871},{"id":"https://openalex.org/C194969405","wikidata":"https://www.wikidata.org/wiki/Q170519","display_name":"Virtual reality","level":2,"score":0.26489999890327454},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.25099998712539673},{"id":"https://openalex.org/C175154964","wikidata":"https://www.wikidata.org/wiki/Q380077","display_name":"Task analysis","level":3,"score":0.2502000033855438}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tie.2025.3600552","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tie.2025.3600552","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":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":22,"referenced_works":["https://openalex.org/W1925776579","https://openalex.org/W1977222384","https://openalex.org/W1977985274","https://openalex.org/W2071013825","https://openalex.org/W2753178534","https://openalex.org/W2791797404","https://openalex.org/W2880214242","https://openalex.org/W2962855145","https://openalex.org/W2995636448","https://openalex.org/W3124886224","https://openalex.org/W3188220908","https://openalex.org/W4221032409","https://openalex.org/W4248061378","https://openalex.org/W4295832664","https://openalex.org/W4297964528","https://openalex.org/W4310043224","https://openalex.org/W4362714870","https://openalex.org/W4387332095","https://openalex.org/W4389664919","https://openalex.org/W4407874093","https://openalex.org/W4408254274","https://openalex.org/W4408323501"],"related_works":[],"abstract_inverted_index":{"Gas\u2013solid":[0],"two-phase":[1],"flow":[2],"continuous":[3],"filling":[4,129],"faces":[5],"challenges":[6],"in":[7,93],"achieving":[8],"high":[9],"precision,":[10],"efficiency,":[11],"and":[12,16,49,61,84,96,104],"robustness":[13],"under":[14,58],"complex":[15],"dynamic":[17],"working":[18,133],"conditions.":[19,134],"This":[20],"article":[21],"presents":[22],"emotion-aware":[23],"reinforcement":[24],"learning":[25],"(ERL)-Fill":[26],"framework":[27],"with":[28],"staged":[29,85,89],"pretraining,":[30],"designed":[31],"to":[32,54],"address":[33],"these":[34],"challenges.":[35],"Built":[36],"upon":[37],"the":[38,67,119],"soft":[39],"actor-critic":[40],"(SAC)":[41],"architecture,":[42],"ERL-Fill":[43,120],"integrates":[44],"a":[45,50,113],"Transformer-based":[46],"emotion":[47,76],"adapter":[48],"gradient-guided":[51],"reward":[52],"mechanism":[53,77],"enhance":[55],"adaptive":[56],"control":[57,124],"diverse":[59],"constraints":[60],"operational":[62],"demands.":[63],"To":[64],"comprehensively":[65],"evaluate":[66],"performance":[68],"of":[69],"ERL-Fill,":[70],"four":[71],"experimental":[72],"groups":[73],"are":[74],"designed:":[75],"ablation,":[78],"different":[79],"algorithms":[80],"comparison,":[81],"multicondition":[82],"testing,":[83],"pretraining":[86,92],"validation.":[87],"The":[88],"training":[90,103],"involves":[91],"virtual":[94],"simulation":[95],"on-board":[97],"communication-based":[98],"control,":[99],"followed":[100],"by":[101,126],"final":[102],"validation":[105],"on":[106,112],"real-world":[107],"systems":[108],"using":[109],"polypropylene,":[110],"based":[111],"5000-1000-200-episode":[114],"curriculum.":[115],"Results":[116],"demonstrate":[117],"that":[118],"effectively":[121],"achieves":[122],"intended":[123],"objectives":[125],"adaptively":[127],"regulating":[128],"processes":[130],"across":[131],"varying":[132]},"counts_by_year":[],"updated_date":"2026-03-07T16:01:11.037858","created_date":"2025-10-17T00:00:00"}
