{"id":"https://openalex.org/W4407950325","doi":"https://doi.org/10.1109/cdc56724.2024.10886118","title":"Prediction for Dynamical Systems via Transfer Learning","display_name":"Prediction for Dynamical Systems via Transfer Learning","publication_year":2024,"publication_date":"2024-12-16","ids":{"openalex":"https://openalex.org/W4407950325","doi":"https://doi.org/10.1109/cdc56724.2024.10886118"},"language":"en","primary_location":{"id":"doi:10.1109/cdc56724.2024.10886118","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cdc56724.2024.10886118","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":"conference-paper","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/A5005682286","display_name":"Zhe Du","orcid":"https://orcid.org/0000-0002-8245-9215"},"institutions":[{"id":"https://openalex.org/I103635307","display_name":"University of California, Riverside","ror":"https://ror.org/03nawhv43","country_code":"US","type":"education","lineage":["https://openalex.org/I103635307"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Zhe Du","raw_affiliation_strings":["University of California,Department of Mechanical Engineering,Riverside,CA,USA,92521"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of California,Department of Mechanical Engineering,Riverside,CA,USA,92521","institution_ids":["https://openalex.org/I103635307"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5050547472","display_name":"Samet Oymak","orcid":"https://orcid.org/0000-0001-5203-0752"},"institutions":[{"id":"https://openalex.org/I103635307","display_name":"University of California, Riverside","ror":"https://ror.org/03nawhv43","country_code":"US","type":"education","lineage":["https://openalex.org/I103635307"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Samet Oymak","raw_affiliation_strings":["University of California,Department of Mechanical Engineering,Riverside,CA,USA,92521"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of California,Department of Mechanical Engineering,Riverside,CA,USA,92521","institution_ids":["https://openalex.org/I103635307"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5049920415","display_name":"Fabio Pasqualetti","orcid":"https://orcid.org/0000-0002-8457-8656"},"institutions":[{"id":"https://openalex.org/I27837315","display_name":"University of Michigan","ror":"https://ror.org/00jmfr291","country_code":"US","type":"education","lineage":["https://openalex.org/I27837315"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Fabio Pasqualetti","raw_affiliation_strings":["University of Michigan,Electrical Engineering and Computer Science Department,Ann Arbor,MI,USA,48109"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Michigan,Electrical Engineering and Computer Science Department,Ann Arbor,MI,USA,48109","institution_ids":["https://openalex.org/I27837315"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"2615","last_page":"2620"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10320","display_name":"Neural Networks and Applications","score":0.9472000002861023,"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":0.9472000002861023,"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/T11206","display_name":"Model Reduction and Neural Networks","score":0.9284999966621399,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6642659902572632},{"id":"https://openalex.org/keywords/transfer-of-learning","display_name":"Transfer of learning","score":0.5956308245658875},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.39347243309020996}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6642659902572632},{"id":"https://openalex.org/C150899416","wikidata":"https://www.wikidata.org/wiki/Q1820378","display_name":"Transfer of learning","level":2,"score":0.5956308245658875},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.39347243309020996}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/cdc56724.2024.10886118","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cdc56724.2024.10886118","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":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":22,"referenced_works":["https://openalex.org/W1492499319","https://openalex.org/W1966048296","https://openalex.org/W2043923215","https://openalex.org/W2087535060","https://openalex.org/W2127769318","https://openalex.org/W2162379377","https://openalex.org/W2165698076","https://openalex.org/W2765380610","https://openalex.org/W2767050701","https://openalex.org/W2890935572","https://openalex.org/W2905783859","https://openalex.org/W2963184939","https://openalex.org/W3012471096","https://openalex.org/W3041133507","https://openalex.org/W3125912523","https://openalex.org/W4312423130","https://openalex.org/W4383112908","https://openalex.org/W4388895037","https://openalex.org/W6674600207","https://openalex.org/W6678894327","https://openalex.org/W6766956246","https://openalex.org/W6772427385"],"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":{"In":[0,39],"robotics":[1],"and":[2,33,81,105],"reinforcement":[3],"learning,":[4],"transfer":[5,52],"learning":[6,53],"helps":[7],"to":[8,17,30,62,69,96],"pass":[9],"the":[10,14,18,44,51,94,109],"knowledge":[11],"obtained":[12],"in":[13],"design":[15],"phase":[16],"deployment":[19],"phase,":[20],"allowing":[21],"for":[22,36,47,74],"faster":[23],"adaptation.":[24],"However,":[25],"this":[26,40],"practice":[27],"is":[28],"yet":[29],"be":[31],"fundamentally":[32],"theoretically":[34],"understood":[35],"dynamical":[37,48],"systems.":[38],"work,":[41],"we":[42,56],"approach":[43],"prediction":[45],"problems":[46],"systems":[49,68],"under":[50],"setup.":[54],"Specifically,":[55],"propose":[57],"methods":[58,92],"that":[59],"are":[60,85],"able":[61],"utilize":[63],"data":[64],"from":[65],"different":[66],"training":[67],"learn":[70],"a":[71],"predictive":[72],"model":[73,99],"an":[75],"unknown":[76],"target":[77],"system.":[78],"Feasibility":[79],"condition":[80],"finite":[82],"sample":[83],"guarantees":[84],"developed.":[86],"Particularly,":[87],"through":[88],"experimental":[89],"studies,":[90],"our":[91],"demonstrate":[93],"ability":[95],"handle":[97],"hidden":[98],"structures":[100],"such":[101],"as":[102],"parameterization":[103],"redundancy":[104],"nonlinearity,":[106],"which":[107],"outperforms":[108],"system":[110],"identification":[111],"method.":[112]},"counts_by_year":[],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
