{"id":"https://openalex.org/W2503269719","doi":"https://doi.org/10.1109/acc.2016.7525018","title":"Multirate forward-model disturbance observer for feedback regulation beyond Nyquist frequency","display_name":"Multirate forward-model disturbance observer for feedback regulation beyond Nyquist frequency","publication_year":2016,"publication_date":"2016-07-01","ids":{"openalex":"https://openalex.org/W2503269719","doi":"https://doi.org/10.1109/acc.2016.7525018","mag":"2503269719"},"language":"en","primary_location":{"id":"doi:10.1109/acc.2016.7525018","is_oa":false,"landing_page_url":"https://doi.org/10.1109/acc.2016.7525018","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 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/A5001037360","display_name":"Xu Chen","orcid":"https://orcid.org/0000-0002-4604-5744"},"institutions":[{"id":"https://openalex.org/I4210166257","display_name":"Courtesy Travel Service","ror":"https://ror.org/05pa4pa04","country_code":"US","type":"other","lineage":["https://openalex.org/I4210166257"]},{"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":true,"raw_author_name":"Xu Chen","raw_affiliation_strings":["CT, USA","Department of Mechanical Engineering, University of Connecticut"],"affiliations":[{"raw_affiliation_string":"CT, USA","institution_ids":["https://openalex.org/I4210166257"]},{"raw_affiliation_string":"Department of Mechanical Engineering, University of Connecticut","institution_ids":["https://openalex.org/I140172145"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5035885185","display_name":"Hui Xiao","orcid":"https://orcid.org/0000-0001-8341-5268"},"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":"Hui Xiao","raw_affiliation_strings":["Department of Mechanical Engineering, University of Connecticut"],"affiliations":[{"raw_affiliation_string":"Department of Mechanical Engineering, University of Connecticut","institution_ids":["https://openalex.org/I140172145"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5001037360"],"corresponding_institution_ids":["https://openalex.org/I140172145","https://openalex.org/I4210166257"],"apc_list":null,"apc_paid":null,"fwci":0.8034,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.74832274,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":"1","issue":null,"first_page":"839","last_page":"844"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11749","display_name":"Iterative Learning Control Systems","score":0.9994999766349792,"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/T11749","display_name":"Iterative Learning Control Systems","score":0.9994999766349792,"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/T10791","display_name":"Advanced Control Systems Optimization","score":0.9947999715805054,"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/T10876","display_name":"Fault Detection and Control Systems","score":0.9887999892234802,"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/control-theory","display_name":"Control theory (sociology)","score":0.7710084319114685},{"id":"https://openalex.org/keywords/nyquist\u2013shannon-sampling-theorem","display_name":"Nyquist\u2013Shannon sampling theorem","score":0.6322122812271118},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6221103072166443},{"id":"https://openalex.org/keywords/observer","display_name":"Observer (physics)","score":0.6159400343894958},{"id":"https://openalex.org/keywords/nyquist-frequency","display_name":"Nyquist frequency","score":0.5553855299949646},{"id":"https://openalex.org/keywords/stability","display_name":"Stability (learning theory)","score":0.5485549569129944},{"id":"https://openalex.org/keywords/nyquist-stability-criterion","display_name":"Nyquist stability criterion","score":0.531152606010437},{"id":"https://openalex.org/keywords/scheme","display_name":"Scheme (mathematics)","score":0.5045205354690552},{"id":"https://openalex.org/keywords/disturbance","display_name":"Disturbance (geology)","score":0.4709632992744446},{"id":"https://openalex.org/keywords/nyquist-plot","display_name":"Nyquist plot","score":0.44336387515068054},{"id":"https://openalex.org/keywords/control-engineering","display_name":"Control engineering","score":0.44298428297042847},{"id":"https://openalex.org/keywords/controller","display_name":"Controller (irrigation)","score":0.4333179295063019},{"id":"https://openalex.org/keywords/sampling","display_name":"Sampling (signal processing)","score":0.4259766638278961},{"id":"https://openalex.org/keywords/control","display_name":"Control (management)","score":0.36399608850479126},{"id":"https://openalex.org/keywords/bandwidth","display_name":"Bandwidth (computing)","score":0.22583118081092834},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.20753797888755798},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1641809046268463},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.1518545150756836},{"id":"https://openalex.org/keywords/detector","display_name":"Detector","score":0.10051175951957703},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.09159427881240845}],"concepts":[{"id":"https://openalex.org/C47446073","wikidata":"https://www.wikidata.org/wiki/Q5165890","display_name":"Control theory (sociology)","level":3,"score":0.7710084319114685},{"id":"https://openalex.org/C288623","wikidata":"https://www.wikidata.org/wiki/Q679800","display_name":"Nyquist\u2013Shannon sampling theorem","level":2,"score":0.6322122812271118},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6221103072166443},{"id":"https://openalex.org/C2780704645","wikidata":"https://www.wikidata.org/wiki/Q9251458","display_name":"Observer (physics)","level":2,"score":0.6159400343894958},{"id":"https://openalex.org/C98273374","wikidata":"https://www.wikidata.org/wiki/Q1501757","display_name":"Nyquist frequency","level":3,"score":0.5553855299949646},{"id":"https://openalex.org/C112972136","wikidata":"https://www.wikidata.org/wiki/Q7595718","display_name":"Stability (learning theory)","level":2,"score":0.5485549569129944},{"id":"https://openalex.org/C7630364","wikidata":"https://www.wikidata.org/wiki/Q1756793","display_name":"Nyquist stability criterion","level":3,"score":0.531152606010437},{"id":"https://openalex.org/C77618280","wikidata":"https://www.wikidata.org/wiki/Q1155772","display_name":"Scheme (mathematics)","level":2,"score":0.5045205354690552},{"id":"https://openalex.org/C2777601987","wikidata":"https://www.wikidata.org/wiki/Q5283581","display_name":"Disturbance (geology)","level":2,"score":0.4709632992744446},{"id":"https://openalex.org/C195762429","wikidata":"https://www.wikidata.org/wiki/Q1756793","display_name":"Nyquist plot","level":5,"score":0.44336387515068054},{"id":"https://openalex.org/C133731056","wikidata":"https://www.wikidata.org/wiki/Q4917288","display_name":"Control engineering","level":1,"score":0.44298428297042847},{"id":"https://openalex.org/C203479927","wikidata":"https://www.wikidata.org/wiki/Q5165939","display_name":"Controller (irrigation)","level":2,"score":0.4333179295063019},{"id":"https://openalex.org/C140779682","wikidata":"https://www.wikidata.org/wiki/Q210868","display_name":"Sampling (signal processing)","level":3,"score":0.4259766638278961},{"id":"https://openalex.org/C2775924081","wikidata":"https://www.wikidata.org/wiki/Q55608371","display_name":"Control (management)","level":2,"score":0.36399608850479126},{"id":"https://openalex.org/C2776257435","wikidata":"https://www.wikidata.org/wiki/Q1576430","display_name":"Bandwidth (computing)","level":2,"score":0.22583118081092834},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.20753797888755798},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1641809046268463},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.1518545150756836},{"id":"https://openalex.org/C94915269","wikidata":"https://www.wikidata.org/wiki/Q1834857","display_name":"Detector","level":2,"score":0.10051175951957703},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.09159427881240845},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C6557445","wikidata":"https://www.wikidata.org/wiki/Q173113","display_name":"Agronomy","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/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C147789679","wikidata":"https://www.wikidata.org/wiki/Q11372","display_name":"Physical chemistry","level":1,"score":0.0},{"id":"https://openalex.org/C117251300","wikidata":"https://www.wikidata.org/wiki/Q1849855","display_name":"Parametric statistics","level":2,"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/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C52859227","wikidata":"https://www.wikidata.org/wiki/Q7877","display_name":"Electrochemistry","level":3,"score":0.0},{"id":"https://openalex.org/C17525397","wikidata":"https://www.wikidata.org/wiki/Q176140","display_name":"Electrode","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/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.0},{"id":"https://openalex.org/C7040849","wikidata":"https://www.wikidata.org/wiki/Q899580","display_name":"Dielectric spectroscopy","level":4,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/acc.2016.7525018","is_oa":false,"landing_page_url":"https://doi.org/10.1109/acc.2016.7525018","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 American Control Conference (ACC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":25,"referenced_works":["https://openalex.org/W1513016807","https://openalex.org/W1593163947","https://openalex.org/W1766888123","https://openalex.org/W1968684477","https://openalex.org/W1988718129","https://openalex.org/W1993363604","https://openalex.org/W2013039010","https://openalex.org/W2014832372","https://openalex.org/W2021028598","https://openalex.org/W2071119063","https://openalex.org/W2073787051","https://openalex.org/W2081955932","https://openalex.org/W2093179795","https://openalex.org/W2098459033","https://openalex.org/W2100134099","https://openalex.org/W2111471219","https://openalex.org/W2121117794","https://openalex.org/W2131486429","https://openalex.org/W2139035764","https://openalex.org/W2143741011","https://openalex.org/W2527081555","https://openalex.org/W2727753288","https://openalex.org/W2743167792","https://openalex.org/W6635425622","https://openalex.org/W6740338003"],"related_works":["https://openalex.org/W1580703813","https://openalex.org/W2724644657","https://openalex.org/W2100446824","https://openalex.org/W1946827748","https://openalex.org/W2370888478","https://openalex.org/W3199656953","https://openalex.org/W2362083308","https://openalex.org/W2364721613","https://openalex.org/W2034217801","https://openalex.org/W2579613157"],"abstract_inverted_index":{"A":[0],"fundamental":[1],"challenge":[2],"in":[3,32,85,105],"digital":[4],"and":[5,39,67,87,108],"sampled-data":[6,54],"control":[7,100],"arises":[8],"when":[9],"the":[10,75,83,92,98],"controlled":[11],"plant":[12],"is":[13],"subjected":[14],"to":[15],"fast":[16],"disturbances":[17,57,77],"with,":[18],"however,":[19],"a":[20,48,63,68],"slow":[21],"or":[22],"limited":[23],"sensor":[24],"measurement.":[25],"Such":[26],"intrinsic":[27],"difficulties":[28],"are":[29],"commonly":[30],"encountered":[31],"many":[33],"novel":[34],"applications":[35],"such":[36],"as":[37],"advanced":[38],"additive":[40],"manufacturing,":[41],"human-machine":[42],"interaction,":[43],"etc.":[44],"This":[45],"paper":[46],"introduces":[47],"discrete-time":[49],"regulation":[50],"scheme":[51,101],"for":[52],"exact":[53],"rejection":[55],"of":[56,95],"beyond":[58],"Nyquist":[59],"frequency.":[60],"By":[61],"using":[62],"model-based":[64],"multirate":[65],"predictor":[66],"forward-model":[69],"disturbance":[70],"observer,":[71],"we":[72],"show":[73],"that":[74],"intersample":[76],"can":[78],"be":[79],"fully":[80],"attenuated":[81],"despite":[82],"limitations":[84],"sampling":[86],"sensing.":[88],"In":[89],"addition,":[90],"sharing":[91],"main":[93],"properties":[94],"all-stabilizing":[96],"control,":[97],"proposed":[99],"offers":[102],"several":[103],"advantages":[104],"stability":[106],"assurance":[107],"lucid":[109],"design":[110],"intuitions.":[111]},"counts_by_year":[{"year":2017,"cited_by_count":2},{"year":2016,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
