{"id":"https://openalex.org/W2972389908","doi":"https://doi.org/10.23919/acc.2019.8814656","title":"Influence of Noise on Information Theoretic Causality Measures for System Identification","display_name":"Influence of Noise on Information Theoretic Causality Measures for System Identification","publication_year":2019,"publication_date":"2019-07-01","ids":{"openalex":"https://openalex.org/W2972389908","doi":"https://doi.org/10.23919/acc.2019.8814656","mag":"2972389908"},"language":"en","primary_location":{"id":"doi:10.23919/acc.2019.8814656","is_oa":false,"landing_page_url":"https://doi.org/10.23919/acc.2019.8814656","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 American Control Conference (ACC)","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/A5087130246","display_name":"Jared Elinger","orcid":null},"institutions":[{"id":"https://openalex.org/I130701444","display_name":"Georgia Institute of Technology","ror":"https://ror.org/01zkghx44","country_code":"US","type":"education","lineage":["https://openalex.org/I130701444"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Jared Elinger","raw_affiliation_strings":["Georgia Institute of Technology, Woodruff School of Mechanical Engineering"],"affiliations":[{"raw_affiliation_string":"Georgia Institute of Technology, Woodruff School of Mechanical Engineering","institution_ids":["https://openalex.org/I130701444"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5010566772","display_name":"Jonathan Rogers","orcid":"https://orcid.org/0000-0001-7196-1691"},"institutions":[{"id":"https://openalex.org/I130701444","display_name":"Georgia Institute of Technology","ror":"https://ror.org/01zkghx44","country_code":"US","type":"education","lineage":["https://openalex.org/I130701444"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jonathan Rogers","raw_affiliation_strings":["Georgia Institute of Technology, Guggenheim School of Aerospace Engineering"],"affiliations":[{"raw_affiliation_string":"Georgia Institute of Technology, Guggenheim School of Aerospace Engineering","institution_ids":["https://openalex.org/I130701444"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5087130246"],"corresponding_institution_ids":["https://openalex.org/I130701444"],"apc_list":null,"apc_paid":null,"fwci":0.3326,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.58733981,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"5648","last_page":"5654"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11236","display_name":"Control Systems and Identification","score":0.9987999796867371,"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"}},"topics":[{"id":"https://openalex.org/T11236","display_name":"Control Systems and Identification","score":0.9987999796867371,"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/T10534","display_name":"Structural Health Monitoring Techniques","score":0.9965000152587891,"subfield":{"id":"https://openalex.org/subfields/2205","display_name":"Civil and Structural 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/T10876","display_name":"Fault Detection and Control Systems","score":0.9948999881744385,"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/nonlinear-system","display_name":"Nonlinear system","score":0.6211962699890137},{"id":"https://openalex.org/keywords/overfitting","display_name":"Overfitting","score":0.6050543189048767},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5592519640922546},{"id":"https://openalex.org/keywords/estimation-theory","display_name":"Estimation theory","score":0.46773582696914673},{"id":"https://openalex.org/keywords/entropy","display_name":"Entropy (arrow of time)","score":0.4658221900463104},{"id":"https://openalex.org/keywords/maxima-and-minima","display_name":"Maxima and minima","score":0.4511980414390564},{"id":"https://openalex.org/keywords/parametric-statistics","display_name":"Parametric statistics","score":0.43254974484443665},{"id":"https://openalex.org/keywords/linear-system","display_name":"Linear system","score":0.43250152468681335},{"id":"https://openalex.org/keywords/system-identification","display_name":"System identification","score":0.424355149269104},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.3584166467189789},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.34246957302093506},{"id":"https://openalex.org/keywords/control-theory","display_name":"Control theory (sociology)","score":0.3228909969329834},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.2876550555229187},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.27009880542755127},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.20652875304222107},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.13469907641410828},{"id":"https://openalex.org/keywords/measure","display_name":"Measure (data warehouse)","score":0.10487166047096252},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.1044706404209137}],"concepts":[{"id":"https://openalex.org/C158622935","wikidata":"https://www.wikidata.org/wiki/Q660848","display_name":"Nonlinear system","level":2,"score":0.6211962699890137},{"id":"https://openalex.org/C22019652","wikidata":"https://www.wikidata.org/wiki/Q331309","display_name":"Overfitting","level":3,"score":0.6050543189048767},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5592519640922546},{"id":"https://openalex.org/C167928553","wikidata":"https://www.wikidata.org/wiki/Q1376021","display_name":"Estimation theory","level":2,"score":0.46773582696914673},{"id":"https://openalex.org/C106301342","wikidata":"https://www.wikidata.org/wiki/Q4117933","display_name":"Entropy (arrow of time)","level":2,"score":0.4658221900463104},{"id":"https://openalex.org/C186633575","wikidata":"https://www.wikidata.org/wiki/Q845060","display_name":"Maxima and minima","level":2,"score":0.4511980414390564},{"id":"https://openalex.org/C117251300","wikidata":"https://www.wikidata.org/wiki/Q1849855","display_name":"Parametric statistics","level":2,"score":0.43254974484443665},{"id":"https://openalex.org/C6802819","wikidata":"https://www.wikidata.org/wiki/Q1072174","display_name":"Linear system","level":2,"score":0.43250152468681335},{"id":"https://openalex.org/C119247159","wikidata":"https://www.wikidata.org/wiki/Q1366192","display_name":"System identification","level":3,"score":0.424355149269104},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.3584166467189789},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.34246957302093506},{"id":"https://openalex.org/C47446073","wikidata":"https://www.wikidata.org/wiki/Q5165890","display_name":"Control theory (sociology)","level":3,"score":0.3228909969329834},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.2876550555229187},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.27009880542755127},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.20652875304222107},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.13469907641410828},{"id":"https://openalex.org/C2780009758","wikidata":"https://www.wikidata.org/wiki/Q6804172","display_name":"Measure (data warehouse)","level":2,"score":0.10487166047096252},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.1044706404209137},{"id":"https://openalex.org/C2775924081","wikidata":"https://www.wikidata.org/wiki/Q55608371","display_name":"Control (management)","level":2,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.23919/acc.2019.8814656","is_oa":false,"landing_page_url":"https://doi.org/10.23919/acc.2019.8814656","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 American Control Conference (ACC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/1","display_name":"No poverty","score":0.5600000023841858}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":13,"referenced_works":["https://openalex.org/W1544632947","https://openalex.org/W1968936982","https://openalex.org/W1988153196","https://openalex.org/W2012617134","https://openalex.org/W2038838245","https://openalex.org/W2094723766","https://openalex.org/W2097108250","https://openalex.org/W2102249043","https://openalex.org/W2129905273","https://openalex.org/W2139019556","https://openalex.org/W2168090960","https://openalex.org/W2801867909","https://openalex.org/W2913465992"],"related_works":["https://openalex.org/W4362597605","https://openalex.org/W1574414179","https://openalex.org/W3009056573","https://openalex.org/W2922073769","https://openalex.org/W4297676672","https://openalex.org/W4281702477","https://openalex.org/W1909999440","https://openalex.org/W1576040274","https://openalex.org/W2094241856","https://openalex.org/W2101377286"],"abstract_inverted_index":{"Parameter":[0],"estimation":[1,25,163,210],"and":[2,26,76,101,174,203,270],"model":[3,68,100,103,132,158,245],"order":[4,154,246],"reduction":[5,247],"(MOR)":[6],"are":[7,49,106,255],"important":[8],"steps":[9],"in":[10,129,159,228,244,261],"the":[11,33,82,95,124,146,153,166,178,191,197,200,204,207,216,219,223,229,239,262],"development":[12],"of":[13,23,58,98,116,135,155,168,180,190,193,199,206,218,222,237,264],"engineering":[14],"models":[15],"for":[16,30,39,248],"many":[17],"real-world":[18],"systems.":[19,41],"While":[20],"a":[21,85,99,113,130,136,156,188,234,265,271,275],"number":[22],"parameter":[24,162,209],"MOR":[27],"methods":[28],"exist":[29],"linear":[31,267],"systems,":[32],"problem":[34],"is":[35,110],"considerably":[36],"more":[37,251],"challenging":[38],"nonlinear":[40,47,131,157,249,272],"Many":[42],"current":[43],"algorithms":[44],"applied":[45],"to":[46,51,53,64,72,78,93,151,233,257],"systems":[48,250],"susceptible":[50],"convergence":[52],"local":[54],"minima":[55],"or":[56],"overfitting":[57],"measurement":[59,194],"data,":[60],"which":[61,105,122,231],"can":[62,148,241],"lead":[63],"problems":[65],"with":[66,70],"poor":[67],"fidelity":[69],"respect":[71],"both":[73],"open-loop":[74],"dynamics":[75],"response":[77],"control":[79],"inputs.":[80],"Recently,":[81],"authors":[83],"introduced":[84],"method":[86,202],"that":[87,145],"leverages":[88],"information":[89],"theoretic":[90],"causality":[91],"measures":[92],"identify":[94],"parametric":[96],"structure":[97],"remove":[102],"components":[104],"extraneous.":[107],"This":[108,185],"algorithm":[109],"based":[111],"on":[112,182,196,274],"particular":[114],"type":[115],"conditional":[117],"entropy,":[118,121],"called":[119],"causation":[120,138,224],"reveals":[123],"critical":[125],"state":[126],"transition":[127],"functions":[128],"through":[133],"formation":[134],"so-called":[137],"entropy":[139,225],"matrix":[140],"(CEM).":[141],"Previous":[142],"work":[143,171],"demonstrated":[144],"CEM":[147,201,240],"be":[149,242],"used":[150,243],"reduce":[152],"several":[160],"practical":[161],"problems.":[164],"However,":[165],"scope":[167],"this":[169],"prior":[170],"was":[172],"limited":[173],"did":[175],"not":[176],"consider":[177],"effects":[179,192],"noise":[181,195],"system":[183],"measurements.":[184],"paper":[186,213],"provides":[187],"study":[189],"accuracy":[198],"efficacy":[205],"resulting":[208],"process.":[211],"The":[212],"also":[214],"explores":[215],"significance":[217],"numerical":[220],"magnitude":[221],"values":[226],"contained":[227],"CEM,":[230],"leads":[232],"deeper":[235],"understanding":[236],"how":[238],"generally.":[252],"Simulation":[253],"examples":[254],"provided":[256],"demonstrate":[258],"these":[259],"trends":[260],"form":[263],"coupled":[266],"harmonic":[268],"oscillator":[269],"pendulum":[273],"cart.":[276]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}