{"id":"https://openalex.org/W4391020125","doi":"https://doi.org/10.1109/cdc49753.2023.10383906","title":"Dynamic System Identification from Scarce and Noisy Data Using Symbolic Regression","display_name":"Dynamic System Identification from Scarce and Noisy Data Using Symbolic Regression","publication_year":2023,"publication_date":"2023-12-13","ids":{"openalex":"https://openalex.org/W4391020125","doi":"https://doi.org/10.1109/cdc49753.2023.10383906"},"language":"en","primary_location":{"id":"doi:10.1109/cdc49753.2023.10383906","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cdc49753.2023.10383906","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 62nd IEEE 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/A5029822191","display_name":"Benjamin Cohen","orcid":null},"institutions":[{"id":"https://openalex.org/I140172145","display_name":"University of Connecticut","ror":"https://ror.org/02der9h97","country_code":"US","type":"education","lineage":["https://openalex.org/I140172145"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Benjamin Cohen","raw_affiliation_strings":["University of Connecticut,Department of Chemical and Biomolecular Engineering,Storrs,CT,USA,06269"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Connecticut,Department of Chemical and Biomolecular Engineering,Storrs,CT,USA,06269","institution_ids":["https://openalex.org/I140172145"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5086217579","display_name":"Burcu Beykal","orcid":"https://orcid.org/0000-0002-6967-6661"},"institutions":[{"id":"https://openalex.org/I140172145","display_name":"University of Connecticut","ror":"https://ror.org/02der9h97","country_code":"US","type":"education","lineage":["https://openalex.org/I140172145"]},{"id":"https://openalex.org/I4210148646","display_name":"Clean Energy (United States)","ror":"https://ror.org/04fdch955","country_code":"US","type":"company","lineage":["https://openalex.org/I4210148646"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Burcu Beykal","raw_affiliation_strings":["University of Connecticut,Department of Chemical and Biomolecular Engineering,Storrs,CT,USA,06269","Center for Clean Energy Engineering, University of Connecticut, Storrs, CT, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Connecticut,Department of Chemical and Biomolecular Engineering,Storrs,CT,USA,06269","institution_ids":["https://openalex.org/I140172145"]},{"raw_affiliation_string":"Center for Clean Energy Engineering, University of Connecticut, Storrs, CT, USA","institution_ids":["https://openalex.org/I140172145","https://openalex.org/I4210148646"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5072576680","display_name":"George M. Bollas","orcid":"https://orcid.org/0000-0002-1960-431X"},"institutions":[{"id":"https://openalex.org/I140172145","display_name":"University of Connecticut","ror":"https://ror.org/02der9h97","country_code":"US","type":"education","lineage":["https://openalex.org/I140172145"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"George Bollas","raw_affiliation_strings":["University of Connecticut,Department of Chemical and Biomolecular Engineering,Storrs,CT,USA,06269"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Connecticut,Department of Chemical and Biomolecular Engineering,Storrs,CT,USA,06269","institution_ids":["https://openalex.org/I140172145"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.1632,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.59453931,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"3670","last_page":"3675"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11975","display_name":"Evolutionary Algorithms and Applications","score":0.9983999729156494,"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/T11975","display_name":"Evolutionary Algorithms and Applications","score":0.9983999729156494,"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/T10791","display_name":"Advanced Control Systems Optimization","score":0.9866999983787537,"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/T11236","display_name":"Control Systems and Identification","score":0.9860000014305115,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/continuous-stirred-tank-reactor","display_name":"Continuous stirred-tank reactor","score":0.7839635610580444},{"id":"https://openalex.org/keywords/symbolic-regression","display_name":"Symbolic regression","score":0.6932985782623291},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6027112007141113},{"id":"https://openalex.org/keywords/ideal","display_name":"Ideal (ethics)","score":0.5706568360328674},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.543192446231842},{"id":"https://openalex.org/keywords/chemical-reactor","display_name":"Chemical reactor","score":0.5009169578552246},{"id":"https://openalex.org/keywords/system-identification","display_name":"System identification","score":0.46461355686187744},{"id":"https://openalex.org/keywords/regression","display_name":"Regression","score":0.42320728302001953},{"id":"https://openalex.org/keywords/plug-flow-reactor-model","display_name":"Plug flow reactor model","score":0.4216306805610657},{"id":"https://openalex.org/keywords/genetic-programming","display_name":"Genetic programming","score":0.3980337083339691},{"id":"https://openalex.org/keywords/data-modeling","display_name":"Data modeling","score":0.36262309551239014},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3209954500198364},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2548525333404541},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.24926018714904785},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.14043232798576355},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.11803010106086731}],"concepts":[{"id":"https://openalex.org/C67334161","wikidata":"https://www.wikidata.org/wiki/Q457904","display_name":"Continuous stirred-tank reactor","level":2,"score":0.7839635610580444},{"id":"https://openalex.org/C2776400721","wikidata":"https://www.wikidata.org/wiki/Q18171762","display_name":"Symbolic regression","level":3,"score":0.6932985782623291},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6027112007141113},{"id":"https://openalex.org/C2776639384","wikidata":"https://www.wikidata.org/wiki/Q840396","display_name":"Ideal (ethics)","level":2,"score":0.5706568360328674},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.543192446231842},{"id":"https://openalex.org/C108213311","wikidata":"https://www.wikidata.org/wiki/Q557573","display_name":"Chemical reactor","level":2,"score":0.5009169578552246},{"id":"https://openalex.org/C119247159","wikidata":"https://www.wikidata.org/wiki/Q1366192","display_name":"System identification","level":3,"score":0.46461355686187744},{"id":"https://openalex.org/C83546350","wikidata":"https://www.wikidata.org/wiki/Q1139051","display_name":"Regression","level":2,"score":0.42320728302001953},{"id":"https://openalex.org/C17352599","wikidata":"https://www.wikidata.org/wiki/Q557567","display_name":"Plug flow reactor model","level":3,"score":0.4216306805610657},{"id":"https://openalex.org/C110332635","wikidata":"https://www.wikidata.org/wiki/Q629498","display_name":"Genetic programming","level":2,"score":0.3980337083339691},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.36262309551239014},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3209954500198364},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2548525333404541},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.24926018714904785},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.14043232798576355},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.11803010106086731},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0},{"id":"https://openalex.org/C42360764","wikidata":"https://www.wikidata.org/wiki/Q83588","display_name":"Chemical engineering","level":1,"score":0.0},{"id":"https://openalex.org/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","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/cdc49753.2023.10383906","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cdc49753.2023.10383906","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 62nd IEEE Conference on Decision and Control (CDC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/6","score":0.4099999964237213,"display_name":"Clean water and sanitation"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320310017","display_name":"University of Connecticut","ror":"https://ror.org/02der9h97"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":27,"referenced_works":["https://openalex.org/W1569512666","https://openalex.org/W1595797227","https://openalex.org/W1979769287","https://openalex.org/W2013997972","https://openalex.org/W2040492000","https://openalex.org/W2093828424","https://openalex.org/W2144519176","https://openalex.org/W2239232218","https://openalex.org/W2319761352","https://openalex.org/W2478307678","https://openalex.org/W2525748878","https://openalex.org/W2887046613","https://openalex.org/W2899283552","https://openalex.org/W2907578745","https://openalex.org/W2951191580","https://openalex.org/W2983896275","https://openalex.org/W3014869516","https://openalex.org/W3016401366","https://openalex.org/W3040454512","https://openalex.org/W3092527036","https://openalex.org/W3100868398","https://openalex.org/W3163993681","https://openalex.org/W3185585276","https://openalex.org/W3207471124","https://openalex.org/W4211049957","https://openalex.org/W4281782255","https://openalex.org/W4289210224"],"related_works":["https://openalex.org/W2968285896","https://openalex.org/W2381504162","https://openalex.org/W1567571923","https://openalex.org/W2472646430","https://openalex.org/W1541882296","https://openalex.org/W4233666032","https://openalex.org/W4386771975","https://openalex.org/W2944092487","https://openalex.org/W2079797706","https://openalex.org/W2088527358"],"abstract_inverted_index":{"A":[0],"framework":[1,15,96,117],"for":[2,157],"dynamic":[3],"system":[4,39,77,134,147],"model":[5,33,121],"identification":[6],"from":[7,37,103,148],"scarce":[8],"and":[9,34,82,106],"noisy":[10,107],"data":[11,111],"is":[12,46],"proposed.":[13],"This":[14],"uses":[16],"symbolic":[17],"regression":[18],"via":[19],"genetic":[20],"programming":[21],"with":[22,59,71,86],"a":[23,30,76,87,119,146,149],"gradient-based":[24],"parameter":[25],"estimation":[26],"step":[27],"to":[28,144],"identify":[29,98],"differential":[31],"equation":[32],"its":[35],"parameters":[36],"available":[38],"data.":[40,108],"The":[41,91],"effectiveness":[42],"of":[43,101,151],"the":[44,110,116,124,132,137],"method":[45,138],"demonstrated":[47],"by":[48,79],"identifying":[49],"four":[50],"synthetic":[51],"systems:":[52],"an":[53,60,64,72,83],"ideal":[54,65,84],"plug":[55],"flow":[56],"reactor":[57,69],"(PFR)":[58],"irreversible":[61,73],"chemical":[62,74,89],"reaction,":[63,75],"continuously":[66],"stirred":[67],"tank":[68],"(CSTR)":[70],"described":[78,123],"Burgers'":[80],"Equation,":[81],"PFR":[85],"reversible":[88],"reaction.":[90],"results":[92],"show":[93],"that":[94,122],"this":[95],"can":[97,139],"PDE":[99],"models":[100,156],"systems":[102],"broadly":[104],"spaced":[105],"When":[109],"was":[112],"not":[113],"sufficiently":[114],"rich,":[115],"discovered":[118],"surrogate":[120],"observations":[125],"in":[126,159],"equal":[127],"or":[128],"fewer":[129],"terms":[130,143],"than":[131],"true":[133],"model.":[135],"Additionally,":[136],"select":[140],"relevant":[141],"physics":[142],"describe":[145],"list":[150],"candidate":[152],"arguments,":[153],"providing":[154],"valuable":[155],"use":[158],"controls":[160],"applications.":[161]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
