{"id":"https://openalex.org/W4407949749","doi":"https://doi.org/10.1109/cdc56724.2024.10886106","title":"Synthetic data generation for system identification: leveraging knowledge transfer from similar systems","display_name":"Synthetic data generation for system identification: leveraging knowledge transfer from similar systems","publication_year":2024,"publication_date":"2024-12-16","ids":{"openalex":"https://openalex.org/W4407949749","doi":"https://doi.org/10.1109/cdc56724.2024.10886106"},"language":"en","primary_location":{"id":"doi:10.1109/cdc56724.2024.10886106","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cdc56724.2024.10886106","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE 63rd Conference on Decision and Control (CDC)","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/A5046585507","display_name":"Dario Piga","orcid":"https://orcid.org/0000-0001-7691-4886"},"institutions":[{"id":"https://openalex.org/I15196421","display_name":"University of Applied Sciences and Arts of Southern Switzerland","ror":"https://ror.org/05ep8g269","country_code":"CH","type":"education","lineage":["https://openalex.org/I15196421"]},{"id":"https://openalex.org/I2614128279","display_name":"Dalle Molle Institute for Artificial Intelligence Research","ror":"https://ror.org/013355g38","country_code":"CH","type":"facility","lineage":["https://openalex.org/I15196421","https://openalex.org/I2614128279","https://openalex.org/I57201433"]}],"countries":["CH"],"is_corresponding":false,"raw_author_name":"Dario Piga","raw_affiliation_strings":["Dalle Molle Institute for Artificial Intelligence,SUPSI-DTI-IDSIA,Lugano,Switzerland"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dalle Molle Institute for Artificial Intelligence,SUPSI-DTI-IDSIA,Lugano,Switzerland","institution_ids":["https://openalex.org/I2614128279","https://openalex.org/I15196421"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5094123715","display_name":"Matteo Rufolo","orcid":null},"institutions":[{"id":"https://openalex.org/I15196421","display_name":"University of Applied Sciences and Arts of Southern Switzerland","ror":"https://ror.org/05ep8g269","country_code":"CH","type":"education","lineage":["https://openalex.org/I15196421"]},{"id":"https://openalex.org/I2614128279","display_name":"Dalle Molle Institute for Artificial Intelligence Research","ror":"https://ror.org/013355g38","country_code":"CH","type":"facility","lineage":["https://openalex.org/I15196421","https://openalex.org/I2614128279","https://openalex.org/I57201433"]}],"countries":["CH"],"is_corresponding":false,"raw_author_name":"Matteo Rufolo","raw_affiliation_strings":["Dalle Molle Institute for Artificial Intelligence,SUPSI-DTI-IDSIA,Lugano,Switzerland"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dalle Molle Institute for Artificial Intelligence,SUPSI-DTI-IDSIA,Lugano,Switzerland","institution_ids":["https://openalex.org/I2614128279","https://openalex.org/I15196421"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5071522745","display_name":"Gabriele Maroni","orcid":"https://orcid.org/0000-0002-4731-7238"},"institutions":[{"id":"https://openalex.org/I15196421","display_name":"University of Applied Sciences and Arts of Southern Switzerland","ror":"https://ror.org/05ep8g269","country_code":"CH","type":"education","lineage":["https://openalex.org/I15196421"]},{"id":"https://openalex.org/I2614128279","display_name":"Dalle Molle Institute for Artificial Intelligence Research","ror":"https://ror.org/013355g38","country_code":"CH","type":"facility","lineage":["https://openalex.org/I15196421","https://openalex.org/I2614128279","https://openalex.org/I57201433"]}],"countries":["CH"],"is_corresponding":false,"raw_author_name":"Gabriele Maroni","raw_affiliation_strings":["Dalle Molle Institute for Artificial Intelligence,SUPSI-DTI-IDSIA,Lugano,Switzerland"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dalle Molle Institute for Artificial Intelligence,SUPSI-DTI-IDSIA,Lugano,Switzerland","institution_ids":["https://openalex.org/I2614128279","https://openalex.org/I15196421"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5029744897","display_name":"Manas Mejari","orcid":"https://orcid.org/0000-0002-0641-1156"},"institutions":[{"id":"https://openalex.org/I15196421","display_name":"University of Applied Sciences and Arts of Southern Switzerland","ror":"https://ror.org/05ep8g269","country_code":"CH","type":"education","lineage":["https://openalex.org/I15196421"]},{"id":"https://openalex.org/I2614128279","display_name":"Dalle Molle Institute for Artificial Intelligence Research","ror":"https://ror.org/013355g38","country_code":"CH","type":"facility","lineage":["https://openalex.org/I15196421","https://openalex.org/I2614128279","https://openalex.org/I57201433"]}],"countries":["CH"],"is_corresponding":false,"raw_author_name":"Manas Mejari","raw_affiliation_strings":["Dalle Molle Institute for Artificial Intelligence,SUPSI-DTI-IDSIA,Lugano,Switzerland"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dalle Molle Institute for Artificial Intelligence,SUPSI-DTI-IDSIA,Lugano,Switzerland","institution_ids":["https://openalex.org/I2614128279","https://openalex.org/I15196421"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5034862814","display_name":"Marco Forgione","orcid":"https://orcid.org/0000-0001-6772-1580"},"institutions":[{"id":"https://openalex.org/I15196421","display_name":"University of Applied Sciences and Arts of Southern Switzerland","ror":"https://ror.org/05ep8g269","country_code":"CH","type":"education","lineage":["https://openalex.org/I15196421"]},{"id":"https://openalex.org/I2614128279","display_name":"Dalle Molle Institute for Artificial Intelligence Research","ror":"https://ror.org/013355g38","country_code":"CH","type":"facility","lineage":["https://openalex.org/I15196421","https://openalex.org/I2614128279","https://openalex.org/I57201433"]}],"countries":["CH"],"is_corresponding":false,"raw_author_name":"Marco Forgione","raw_affiliation_strings":["Dalle Molle Institute for Artificial Intelligence,SUPSI-DTI-IDSIA,Lugano,Switzerland"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dalle Molle Institute for Artificial Intelligence,SUPSI-DTI-IDSIA,Lugano,Switzerland","institution_ids":["https://openalex.org/I2614128279","https://openalex.org/I15196421"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":2.1383,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.8968431,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"6383","last_page":"6388"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10320","display_name":"Neural Networks and Applications","score":0.9104999899864197,"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/T10320","display_name":"Neural Networks and Applications","score":0.9104999899864197,"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/computer-science","display_name":"Computer science","score":0.735575795173645},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.6203511953353882},{"id":"https://openalex.org/keywords/knowledge-transfer","display_name":"Knowledge transfer","score":0.43885117769241333},{"id":"https://openalex.org/keywords/knowledge-management","display_name":"Knowledge management","score":0.12644627690315247}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.735575795173645},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.6203511953353882},{"id":"https://openalex.org/C2776960227","wikidata":"https://www.wikidata.org/wiki/Q2586354","display_name":"Knowledge transfer","level":2,"score":0.43885117769241333},{"id":"https://openalex.org/C56739046","wikidata":"https://www.wikidata.org/wiki/Q192060","display_name":"Knowledge management","level":1,"score":0.12644627690315247},{"id":"https://openalex.org/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/cdc56724.2024.10886106","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cdc56724.2024.10886106","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE 63rd Conference on Decision and Control (CDC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320338388","display_name":"Eurostars","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":12,"referenced_works":["https://openalex.org/W1981025032","https://openalex.org/W2899283552","https://openalex.org/W2945637605","https://openalex.org/W2954996726","https://openalex.org/W2975317124","https://openalex.org/W3122063555","https://openalex.org/W4385245566","https://openalex.org/W4388878652","https://openalex.org/W4402641398","https://openalex.org/W6635898001","https://openalex.org/W6850625674","https://openalex.org/W6853332806"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W4391913857","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W4396696052"],"abstract_inverted_index":{"This":[0],"paper":[1],"addresses":[2],"the":[3,8,19,39,43,51,72,90,96,100,123,141,150,153,172,187,197,204],"challenge":[4],"of":[5,10,21,45,68,74,102,144,152,180,186,199],"overfitting":[6,177],"in":[7,31,116,149,178],"learning":[9],"dynamical":[11],"systems":[12,49,69],"by":[13,34],"introducing":[14],"a":[15,60,65,83,137,192],"novel":[16],"approach":[17,188],"for":[18,111,127,164],"generation":[20],"synthetic":[22,55,108,119,147,201],"data,":[23,120],"aimed":[24],"at":[25],"enhancing":[26],"model":[27,93,128],"generalization":[28],"and":[29,105,146],"robustness":[30],"scenarios":[32],"characterized":[33],"data":[35,56,81,148,202],"scarcity.":[36],"Central":[37],"to":[38,70,78,89,94,121,135,175],"proposed":[40],"methodology":[41],"is":[42,57,76,133,189],"concept":[44],"knowledge":[46],"transfer":[47],"from":[48],"within":[50],"same":[52,157],"class.":[53],"Specifically,":[54],"generated":[58],"through":[59,191],"pre-trained":[61,91],"meta-model":[62],"that":[63,195],"describes":[64],"broad":[66],"class":[67],"which":[71],"system":[73,205],"interest":[75],"assumed":[77],"belong.":[79],"Training":[80],"serves":[82],"dual":[84],"purpose:":[85],"firstly,":[86],"as":[87,168],"input":[88,113],"meta":[92],"discern":[95],"system\u2019s":[97],"dynamics,":[98],"enabling":[99],"prediction":[101],"its":[103],"behavior":[104],"thereby":[106],"generating":[107],"output":[109],"sequences":[110],"new":[112],"sequences;":[114],"secondly,":[115],"conjunction":[117],"with":[118],"define":[122],"loss":[124,154],"function":[125],"used":[126,134,163],"estimation.":[129],"A":[130],"validation":[131,158],"dataset":[132],"tune":[136],"scalar":[138],"hyper-parameter":[139],"balancing":[140],"relative":[142],"importance":[143],"training":[145,182],"definition":[151],"function.":[155],"The":[156,184],"set":[159],"can":[160],"be":[161],"also":[162],"other":[165],"purposes,":[166],"such":[167],"early":[169],"stopping":[170],"during":[171],"training,":[173],"fundamental":[174],"avoid":[176],"case":[179],"small-size":[181],"datasets.":[183],"efficacy":[185],"shown":[190],"numerical":[193],"example":[194],"highlights":[196],"advantages":[198],"integrating":[200],"into":[203],"identification":[206],"process.":[207]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
