{"id":"https://openalex.org/W4391021804","doi":"https://doi.org/10.1109/cdc49753.2023.10383489","title":"A Tutorial on the Non-Asymptotic Theory of System Identification","display_name":"A Tutorial on the Non-Asymptotic Theory of System Identification","publication_year":2023,"publication_date":"2023-12-13","ids":{"openalex":"https://openalex.org/W4391021804","doi":"https://doi.org/10.1109/cdc49753.2023.10383489"},"language":"en","primary_location":{"id":"doi:10.1109/cdc49753.2023.10383489","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cdc49753.2023.10383489","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/A5065375668","display_name":"Ingvar Ziemann","orcid":"https://orcid.org/0000-0002-4140-1279"},"institutions":[{"id":"https://openalex.org/I36788626","display_name":"California University of Pennsylvania","ror":"https://ror.org/01spssf70","country_code":"US","type":"education","lineage":["https://openalex.org/I36788626"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ingvar Ziemann","raw_affiliation_strings":["University of Pennsylvania"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Pennsylvania","institution_ids":["https://openalex.org/I36788626"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5076331779","display_name":"Anastasios Tsiamis","orcid":"https://orcid.org/0000-0002-7935-7541"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Anastasios Tsiamis","raw_affiliation_strings":["ETH Z&#x00FC;rich"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"ETH Z&#x00FC;rich","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5038643196","display_name":"Bruce P. Lee","orcid":"https://orcid.org/0000-0002-6529-0032"},"institutions":[{"id":"https://openalex.org/I36788626","display_name":"California University of Pennsylvania","ror":"https://ror.org/01spssf70","country_code":"US","type":"education","lineage":["https://openalex.org/I36788626"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Bruce Lee","raw_affiliation_strings":["University of Pennsylvania"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Pennsylvania","institution_ids":["https://openalex.org/I36788626"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5082148015","display_name":"Yassir Jedra","orcid":"https://orcid.org/0000-0002-4403-1066"},"institutions":[{"id":"https://openalex.org/I86987016","display_name":"KTH Royal Institute of Technology","ror":"https://ror.org/026vcq606","country_code":"SE","type":"education","lineage":["https://openalex.org/I86987016"]}],"countries":["SE"],"is_corresponding":false,"raw_author_name":"Yassir Jedra","raw_affiliation_strings":["KTH Royal Institute of Technology"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"KTH Royal Institute of Technology","institution_ids":["https://openalex.org/I86987016"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5052941508","display_name":"Nikolai Matni","orcid":"https://orcid.org/0000-0003-4936-3921"},"institutions":[{"id":"https://openalex.org/I36788626","display_name":"California University of Pennsylvania","ror":"https://ror.org/01spssf70","country_code":"US","type":"education","lineage":["https://openalex.org/I36788626"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Nikolai Matni","raw_affiliation_strings":["University of Pennsylvania"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Pennsylvania","institution_ids":["https://openalex.org/I36788626"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5029243115","display_name":"George J. Pappas","orcid":"https://orcid.org/0000-0001-9081-0637"},"institutions":[{"id":"https://openalex.org/I36788626","display_name":"California University of Pennsylvania","ror":"https://ror.org/01spssf70","country_code":"US","type":"education","lineage":["https://openalex.org/I36788626"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"George J. Pappas","raw_affiliation_strings":["University of Pennsylvania"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Pennsylvania","institution_ids":["https://openalex.org/I36788626"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":6,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":3.4418,"has_fulltext":false,"cited_by_count":20,"citation_normalized_percentile":{"value":0.9305448,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":98,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"8921","last_page":"8939"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11236","display_name":"Control Systems and Identification","score":0.9998999834060669,"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":0.9998999834060669,"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/T12814","display_name":"Gaussian Processes and Bayesian Inference","score":0.993399977684021,"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":0.9926000237464905,"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/mathematical-proof","display_name":"Mathematical proof","score":0.8303897380828857},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.6529389023780823},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6416109800338745},{"id":"https://openalex.org/keywords/estimator","display_name":"Estimator","score":0.6179609894752502},{"id":"https://openalex.org/keywords/autoregressive-model","display_name":"Autoregressive model","score":0.5331795811653137},{"id":"https://openalex.org/keywords/system-identification","display_name":"System identification","score":0.511569082736969},{"id":"https://openalex.org/keywords/range","display_name":"Range (aeronautics)","score":0.4572339951992035},{"id":"https://openalex.org/keywords/asymptotic-analysis","display_name":"Asymptotic analysis","score":0.45154568552970886},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.4360206723213196},{"id":"https://openalex.org/keywords/applied-mathematics","display_name":"Applied mathematics","score":0.4289233088493347},{"id":"https://openalex.org/keywords/calculus","display_name":"Calculus (dental)","score":0.4278077781200409},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4263472557067871},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.4188652038574219},{"id":"https://openalex.org/keywords/wright","display_name":"Wright","score":0.41629648208618164},{"id":"https://openalex.org/keywords/algebra-over-a-field","display_name":"Algebra over a field","score":0.38550999760627747},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3180299401283264},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.1677982211112976},{"id":"https://openalex.org/keywords/data-modeling","display_name":"Data modeling","score":0.1396615207195282},{"id":"https://openalex.org/keywords/econometrics","display_name":"Econometrics","score":0.12683847546577454},{"id":"https://openalex.org/keywords/pure-mathematics","display_name":"Pure mathematics","score":0.11075747013092041},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.0902397632598877},{"id":"https://openalex.org/keywords/software-engineering","display_name":"Software engineering","score":0.08158963918685913}],"concepts":[{"id":"https://openalex.org/C108710211","wikidata":"https://www.wikidata.org/wiki/Q11538","display_name":"Mathematical proof","level":2,"score":0.8303897380828857},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.6529389023780823},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6416109800338745},{"id":"https://openalex.org/C185429906","wikidata":"https://www.wikidata.org/wiki/Q1130160","display_name":"Estimator","level":2,"score":0.6179609894752502},{"id":"https://openalex.org/C159877910","wikidata":"https://www.wikidata.org/wiki/Q2202883","display_name":"Autoregressive model","level":2,"score":0.5331795811653137},{"id":"https://openalex.org/C119247159","wikidata":"https://www.wikidata.org/wiki/Q1366192","display_name":"System identification","level":3,"score":0.511569082736969},{"id":"https://openalex.org/C204323151","wikidata":"https://www.wikidata.org/wiki/Q905424","display_name":"Range (aeronautics)","level":2,"score":0.4572339951992035},{"id":"https://openalex.org/C119047807","wikidata":"https://www.wikidata.org/wiki/Q752718","display_name":"Asymptotic analysis","level":2,"score":0.45154568552970886},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.4360206723213196},{"id":"https://openalex.org/C28826006","wikidata":"https://www.wikidata.org/wiki/Q33521","display_name":"Applied mathematics","level":1,"score":0.4289233088493347},{"id":"https://openalex.org/C2777686260","wikidata":"https://www.wikidata.org/wiki/Q144037","display_name":"Calculus (dental)","level":2,"score":0.4278077781200409},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4263472557067871},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.4188652038574219},{"id":"https://openalex.org/C2777667586","wikidata":"https://www.wikidata.org/wiki/Q8038170","display_name":"Wright","level":2,"score":0.41629648208618164},{"id":"https://openalex.org/C136119220","wikidata":"https://www.wikidata.org/wiki/Q1000660","display_name":"Algebra over a field","level":2,"score":0.38550999760627747},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3180299401283264},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.1677982211112976},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.1396615207195282},{"id":"https://openalex.org/C149782125","wikidata":"https://www.wikidata.org/wiki/Q160039","display_name":"Econometrics","level":1,"score":0.12683847546577454},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.11075747013092041},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0902397632598877},{"id":"https://openalex.org/C115903868","wikidata":"https://www.wikidata.org/wiki/Q80993","display_name":"Software engineering","level":1,"score":0.08158963918685913},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","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/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","level":1,"score":0.0},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"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/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","level":1,"score":0.0},{"id":"https://openalex.org/C199343813","wikidata":"https://www.wikidata.org/wiki/Q12128","display_name":"Dentistry","level":1,"score":0.0},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/cdc49753.2023.10383489","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cdc49753.2023.10383489","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/10","display_name":"Reduced inequalities","score":0.5699999928474426}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":46,"referenced_works":["https://openalex.org/W178056938","https://openalex.org/W264613207","https://openalex.org/W1460189015","https://openalex.org/W1972615020","https://openalex.org/W2032291279","https://openalex.org/W2072864444","https://openalex.org/W2103775046","https://openalex.org/W2106966080","https://openalex.org/W2148087508","https://openalex.org/W2490169366","https://openalex.org/W2491144192","https://openalex.org/W2762498633","https://openalex.org/W2972915637","https://openalex.org/W3011596496","https://openalex.org/W3119207197","https://openalex.org/W3128922944","https://openalex.org/W3164810036","https://openalex.org/W4210776410","https://openalex.org/W4211030719","https://openalex.org/W4226178939","https://openalex.org/W4236076921","https://openalex.org/W4242433770","https://openalex.org/W4250954493","https://openalex.org/W4287173688","https://openalex.org/W4287866619","https://openalex.org/W4310031376","https://openalex.org/W4313027296","https://openalex.org/W4315472470","https://openalex.org/W4377164414","https://openalex.org/W4387831740","https://openalex.org/W4388666639","https://openalex.org/W6601704150","https://openalex.org/W6674794121","https://openalex.org/W6748537339","https://openalex.org/W6756955122","https://openalex.org/W6759151561","https://openalex.org/W6772923463","https://openalex.org/W6774443961","https://openalex.org/W6776521787","https://openalex.org/W6790416654","https://openalex.org/W6798032464","https://openalex.org/W6802065049","https://openalex.org/W6803514587","https://openalex.org/W6811061451","https://openalex.org/W6838968219","https://openalex.org/W6852810453"],"related_works":["https://openalex.org/W2808195166","https://openalex.org/W2142190126","https://openalex.org/W2412812510","https://openalex.org/W2274794371","https://openalex.org/W2465787089","https://openalex.org/W2401402562","https://openalex.org/W188538620","https://openalex.org/W2888880683","https://openalex.org/W2415716132","https://openalex.org/W2797244287"],"abstract_inverted_index":{"This":[0],"tutorial":[1],"serves":[2],"as":[3,33],"an":[4,104],"introduction":[5],"to":[6,51,83],"recently":[7],"developed":[8],"non-asymptotic":[9],"methods":[10],"in":[11,29,67,97,103],"the":[12,34,37,41,56,65,76],"theory":[13],"of-mainly":[14],"linear-system":[15],"identification.":[16],"We":[17,46,70],"emphasize":[18],"tools":[19,50],"we":[20],"deem":[21],"particularly":[22],"useful":[23],"for":[24,63],"a":[25],"range":[26],"of":[27,43,55,58,91],"problems":[28],"this":[30,98],"domain,":[31],"such":[32],"covering":[35],"technique,":[36],"Hanson-Wright":[38],"Inequality":[39],"and":[40,100],"method":[42],"self-normalized":[44],"martingales.":[45],"then":[47],"employ":[48],"these":[49],"give":[52],"streamlined":[53],"proofs":[54,93],"performance":[57],"various":[59],"least-squares":[60],"based":[61],"estimators":[62],"identifying":[64],"parameters":[66],"autoregressive":[68],"models.":[69],"conclude":[71],"by":[72],"sketching":[73],"out":[74],"how":[75],"ideas":[77],"presented":[78],"herein":[79],"can":[80],"be":[81],"extended":[82],"certain":[84],"nonlinear":[85],"identification":[86],"problems.":[87],"Note:":[88],"For":[89],"reasons":[90],"space,":[92],"have":[94],"been":[95],"omitted":[96],"version":[99],"are":[101],"available":[102],"online":[105],"version:":[106],"https://arxiv.org/abs/2309.03873.":[107]},"counts_by_year":[{"year":2025,"cited_by_count":9},{"year":2024,"cited_by_count":11}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
