{"id":"https://openalex.org/W2887727490","doi":"https://doi.org/10.23919/acc.2018.8430830","title":"Examining the Observability of Emergent Behavior as a Function of Reduced Model Order","display_name":"Examining the Observability of Emergent Behavior as a Function of Reduced Model Order","publication_year":2018,"publication_date":"2018-06-01","ids":{"openalex":"https://openalex.org/W2887727490","doi":"https://doi.org/10.23919/acc.2018.8430830","mag":"2887727490"},"language":"en","primary_location":{"id":"doi:10.23919/acc.2018.8430830","is_oa":false,"landing_page_url":"https://doi.org/10.23919/acc.2018.8430830","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 Annual American Control Conference (ACC)","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/A5066878475","display_name":"Zhaohui Yang","orcid":"https://orcid.org/0000-0002-4475-589X"},"institutions":[{"id":"https://openalex.org/I72951846","display_name":"Washington State University","ror":"https://ror.org/05dk0ce17","country_code":"US","type":"education","lineage":["https://openalex.org/I72951846"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Zhaohui Yang","raw_affiliation_strings":["School of Mechanical and Materials Engineering, Washington State University, Pullman, WA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Mechanical and Materials Engineering, Washington State University, Pullman, WA, USA","institution_ids":["https://openalex.org/I72951846"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5084813481","display_name":"Kshitij Jerath","orcid":"https://orcid.org/0000-0001-6356-9438"},"institutions":[{"id":"https://openalex.org/I72951846","display_name":"Washington State University","ror":"https://ror.org/05dk0ce17","country_code":"US","type":"education","lineage":["https://openalex.org/I72951846"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Kshitij Jerath","raw_affiliation_strings":["School of Mechanical and Materials Engineering, Washington State University, Pullman, WA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Mechanical and Materials Engineering, Washington State University, Pullman, WA, USA","institution_ids":["https://openalex.org/I72951846"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I72951846"],"apc_list":null,"apc_paid":null,"fwci":0.3396,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.51020964,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":95},"biblio":{"volume":"16","issue":null,"first_page":"6218","last_page":"6223"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11513","display_name":"stochastic dynamics and bifurcation","score":0.9998000264167786,"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"}},"topics":[{"id":"https://openalex.org/T11513","display_name":"stochastic dynamics and bifurcation","score":0.9998000264167786,"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"}},{"id":"https://openalex.org/T10581","display_name":"Neural dynamics and brain function","score":0.9987999796867371,"subfield":{"id":"https://openalex.org/subfields/2805","display_name":"Cognitive Neuroscience"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T11187","display_name":"Nonlinear Dynamics and Pattern Formation","score":0.9944000244140625,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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/observability","display_name":"Observability","score":0.9784601926803589},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6028496026992798},{"id":"https://openalex.org/keywords/nonlinear-system","display_name":"Nonlinear system","score":0.5747325420379639},{"id":"https://openalex.org/keywords/metric","display_name":"Metric (unit)","score":0.5667490363121033},{"id":"https://openalex.org/keywords/function","display_name":"Function (biology)","score":0.5018737316131592},{"id":"https://openalex.org/keywords/order","display_name":"Order (exchange)","score":0.4626392424106598},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4171079993247986},{"id":"https://openalex.org/keywords/control-theory","display_name":"Control theory (sociology)","score":0.3724450469017029},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3199782371520996},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.23087793588638306},{"id":"https://openalex.org/keywords/applied-mathematics","display_name":"Applied mathematics","score":0.20032310485839844},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.11754009127616882},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.08081546425819397}],"concepts":[{"id":"https://openalex.org/C36299963","wikidata":"https://www.wikidata.org/wiki/Q1369844","display_name":"Observability","level":2,"score":0.9784601926803589},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6028496026992798},{"id":"https://openalex.org/C158622935","wikidata":"https://www.wikidata.org/wiki/Q660848","display_name":"Nonlinear system","level":2,"score":0.5747325420379639},{"id":"https://openalex.org/C176217482","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Metric (unit)","level":2,"score":0.5667490363121033},{"id":"https://openalex.org/C14036430","wikidata":"https://www.wikidata.org/wiki/Q3736076","display_name":"Function (biology)","level":2,"score":0.5018737316131592},{"id":"https://openalex.org/C182306322","wikidata":"https://www.wikidata.org/wiki/Q1779371","display_name":"Order (exchange)","level":2,"score":0.4626392424106598},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4171079993247986},{"id":"https://openalex.org/C47446073","wikidata":"https://www.wikidata.org/wiki/Q5165890","display_name":"Control theory (sociology)","level":3,"score":0.3724450469017029},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3199782371520996},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.23087793588638306},{"id":"https://openalex.org/C28826006","wikidata":"https://www.wikidata.org/wiki/Q33521","display_name":"Applied mathematics","level":1,"score":0.20032310485839844},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.11754009127616882},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.08081546425819397},{"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/C10138342","wikidata":"https://www.wikidata.org/wiki/Q43015","display_name":"Finance","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},{"id":"https://openalex.org/C78458016","wikidata":"https://www.wikidata.org/wiki/Q840400","display_name":"Evolutionary biology","level":1,"score":0.0},{"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/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C21547014","wikidata":"https://www.wikidata.org/wiki/Q1423657","display_name":"Operations management","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.23919/acc.2018.8430830","is_oa":false,"landing_page_url":"https://doi.org/10.23919/acc.2018.8430830","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 Annual American Control Conference (ACC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"},{"id":"https://openalex.org/F4320337391","display_name":"Division of Civil, Mechanical and Manufacturing Innovation","ror":"https://ror.org/028yd4c30"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":25,"referenced_works":["https://openalex.org/W652886633","https://openalex.org/W1597740592","https://openalex.org/W1927033092","https://openalex.org/W1975243497","https://openalex.org/W1979559232","https://openalex.org/W1992922836","https://openalex.org/W2007703207","https://openalex.org/W2057864295","https://openalex.org/W2073383402","https://openalex.org/W2074622528","https://openalex.org/W2087058693","https://openalex.org/W2093352963","https://openalex.org/W2102993795","https://openalex.org/W2107612715","https://openalex.org/W2111030512","https://openalex.org/W2134304219","https://openalex.org/W2140998418","https://openalex.org/W2156858248","https://openalex.org/W2163057446","https://openalex.org/W2189112053","https://openalex.org/W2540604645","https://openalex.org/W2725603461","https://openalex.org/W3099175041","https://openalex.org/W6683238884","https://openalex.org/W6686962185"],"related_works":["https://openalex.org/W2046459260","https://openalex.org/W2765830098","https://openalex.org/W2967463586","https://openalex.org/W1971989957","https://openalex.org/W2517338020","https://openalex.org/W3157641275","https://openalex.org/W4312300846","https://openalex.org/W4206221578","https://openalex.org/W3029572990","https://openalex.org/W2615757685"],"abstract_inverted_index":{"Current":[0],"work":[1],"on":[2,9,18],"complex":[3,39],"systems":[4,40,103],"has":[5,41,133],"been":[6,42,94,134],"heavily":[7],"focused":[8],"network":[10,13],"interactions":[11],"and":[12,87,109,119,130],"structure,":[14],"without":[15],"significant":[16],"emphasis":[17],"the":[19,27,30,50,56,59,62,72,79,85,106,143],"emergent":[20,36,47,63,150],"phenomena":[21,64],"that":[22,116,141],"characterize":[23],"such":[24,104],"systems.":[25],"In":[26],"included":[28],"work,":[29],"ability":[31],"to":[32,96,136,148],"perceive":[33],"or":[34],"observe":[35],"behavior":[37,48],"in":[38],"studied.":[43],"Specifically,":[44],"by":[45],"identifying":[46],"as":[49,68,105],"dynamics":[51],"of":[52,55,61,71,84],"reduced-order":[53,88],"models":[54],"self-organizing":[57],"systems,":[58],"observability":[60,82,120,131],"can":[65],"be":[66],"studied":[67],"a":[69,138],"function":[70],"model":[73,98,124,149],"order.":[74,125],"Included":[75],"analytical":[76],"results":[77],"show":[78],"relationship":[80],"between":[81,128],"metrics":[83,132],"full-":[86],"models.":[89,113],"Singular":[90],"perturbation":[91],"techniques":[92],"have":[93],"used":[95,135],"perform":[97],"order":[99,145],"reduction":[100],"for":[101],"nonlinear":[102],"Hyper":[107],"R\u00f6ssler":[108],"coupled":[110],"Hindmarsh-Rose":[111],"neuron":[112],"Results":[114],"indicate":[115],"accuracy":[117,129],"increases":[118],"decreases":[121],"with":[122],"increasing":[123],"The":[126],"trade-off":[127],"propose":[137],"predictive":[139],"metric":[140],"identifies":[142],"desirable":[144],"at":[146],"which":[147],"behavior.":[151]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2020,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
