{"id":"https://openalex.org/W2167429411","doi":"https://doi.org/10.1109/cdc.2002.1184469","title":"Position error signal estimation at high sampling rates using data and servo sector measurements","display_name":"Position error signal estimation at high sampling rates using data and servo sector measurements","publication_year":2003,"publication_date":"2003-08-27","ids":{"openalex":"https://openalex.org/W2167429411","doi":"https://doi.org/10.1109/cdc.2002.1184469","mag":"2167429411"},"language":"en","primary_location":{"id":"doi:10.1109/cdc.2002.1184469","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cdc.2002.1184469","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 41st IEEE Conference on Decision and Control, 2002.","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/A5004938962","display_name":"P\u00e9tros Ioannou","orcid":"https://orcid.org/0000-0001-6981-0704"},"institutions":[{"id":"https://openalex.org/I1174212","display_name":"University of Southern California","ror":"https://ror.org/03taz7m60","country_code":"US","type":"education","lineage":["https://openalex.org/I1174212"]},{"id":"https://openalex.org/I4210116219","display_name":"Engineering Systems (United States)","ror":"https://ror.org/02qg60849","country_code":"US","type":"company","lineage":["https://openalex.org/I4210116219"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"P.A. Ioannou","raw_affiliation_strings":["Department of Electrical Engineering-Systems, University of Southern California, Los Angeles, CA, USA"],"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering-Systems, University of Southern California, Los Angeles, CA, USA","institution_ids":["https://openalex.org/I1174212","https://openalex.org/I4210116219"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5071596476","display_name":"Elias B. Kosmatopoulos","orcid":"https://orcid.org/0000-0002-3735-4238"},"institutions":[{"id":"https://openalex.org/I4210116219","display_name":"Engineering Systems (United States)","ror":"https://ror.org/02qg60849","country_code":"US","type":"company","lineage":["https://openalex.org/I4210116219"]},{"id":"https://openalex.org/I1174212","display_name":"University of Southern California","ror":"https://ror.org/03taz7m60","country_code":"US","type":"education","lineage":["https://openalex.org/I1174212"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"E.B. Kosmatopoulos","raw_affiliation_strings":["Department of Electrical Engineering-Systems, University of Southern California, Los Angeles, CA, USA"],"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering-Systems, University of Southern California, Los Angeles, CA, USA","institution_ids":["https://openalex.org/I1174212","https://openalex.org/I4210116219"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5049056285","display_name":"Alvin M. Despain","orcid":null},"institutions":[{"id":"https://openalex.org/I4210118989","display_name":"Acorn","ror":"https://ror.org/030q7x253","country_code":"US","type":"other","lineage":["https://openalex.org/I4210118989"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"A.M. Despain","raw_affiliation_strings":["Acorn Technologies, Inc., Pacific Palisades, CA, USA"],"affiliations":[{"raw_affiliation_string":"Acorn Technologies, Inc., Pacific Palisades, CA, USA","institution_ids":["https://openalex.org/I4210118989"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5004938962"],"corresponding_institution_ids":["https://openalex.org/I1174212","https://openalex.org/I4210116219"],"apc_list":null,"apc_paid":null,"fwci":0.8094,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.8096634,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"1","issue":null,"first_page":"67","last_page":"72"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11749","display_name":"Iterative Learning Control Systems","score":1.0,"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":1.0,"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/T11138","display_name":"Tribology and Lubrication Engineering","score":0.9857000112533569,"subfield":{"id":"https://openalex.org/subfields/2210","display_name":"Mechanical 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/T13644","display_name":"Control Systems in Engineering","score":0.980400025844574,"subfield":{"id":"https://openalex.org/subfields/2210","display_name":"Mechanical 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/computer-science","display_name":"Computer science","score":0.6340084075927734},{"id":"https://openalex.org/keywords/servo-bandwidth","display_name":"Servo bandwidth","score":0.5601325631141663},{"id":"https://openalex.org/keywords/control-theory","display_name":"Control theory (sociology)","score":0.5504209399223328},{"id":"https://openalex.org/keywords/bandwidth","display_name":"Bandwidth (computing)","score":0.5303657054901123},{"id":"https://openalex.org/keywords/mean-squared-error","display_name":"Mean squared error","score":0.44771188497543335},{"id":"https://openalex.org/keywords/sampling","display_name":"Sampling (signal processing)","score":0.43328726291656494},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.43141716718673706},{"id":"https://openalex.org/keywords/nonlinear-system","display_name":"Nonlinear system","score":0.41038978099823},{"id":"https://openalex.org/keywords/servo","display_name":"Servo","score":0.3764494061470032},{"id":"https://openalex.org/keywords/detector","display_name":"Detector","score":0.2934701442718506},{"id":"https://openalex.org/keywords/servo-control","display_name":"Servo control","score":0.25550708174705505},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.22045600414276123},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.20387929677963257},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.13186433911323547},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.11110484600067139}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6340084075927734},{"id":"https://openalex.org/C132808900","wikidata":"https://www.wikidata.org/wiki/Q17126463","display_name":"Servo bandwidth","level":4,"score":0.5601325631141663},{"id":"https://openalex.org/C47446073","wikidata":"https://www.wikidata.org/wiki/Q5165890","display_name":"Control theory (sociology)","level":3,"score":0.5504209399223328},{"id":"https://openalex.org/C2776257435","wikidata":"https://www.wikidata.org/wiki/Q1576430","display_name":"Bandwidth (computing)","level":2,"score":0.5303657054901123},{"id":"https://openalex.org/C139945424","wikidata":"https://www.wikidata.org/wiki/Q1940696","display_name":"Mean squared error","level":2,"score":0.44771188497543335},{"id":"https://openalex.org/C140779682","wikidata":"https://www.wikidata.org/wiki/Q210868","display_name":"Sampling (signal processing)","level":3,"score":0.43328726291656494},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.43141716718673706},{"id":"https://openalex.org/C158622935","wikidata":"https://www.wikidata.org/wiki/Q660848","display_name":"Nonlinear system","level":2,"score":0.41038978099823},{"id":"https://openalex.org/C107354338","wikidata":"https://www.wikidata.org/wiki/Q1937153","display_name":"Servo","level":2,"score":0.3764494061470032},{"id":"https://openalex.org/C94915269","wikidata":"https://www.wikidata.org/wiki/Q1834857","display_name":"Detector","level":2,"score":0.2934701442718506},{"id":"https://openalex.org/C32731416","wikidata":"https://www.wikidata.org/wiki/Q7455930","display_name":"Servo control","level":3,"score":0.25550708174705505},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.22045600414276123},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.20387929677963257},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.13186433911323547},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.11110484600067139},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"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/C2775924081","wikidata":"https://www.wikidata.org/wiki/Q55608371","display_name":"Control (management)","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/cdc.2002.1184469","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cdc.2002.1184469","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 41st IEEE Conference on Decision and Control, 2002.","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":23,"referenced_works":["https://openalex.org/W1513016807","https://openalex.org/W1520058674","https://openalex.org/W1706762629","https://openalex.org/W1861031264","https://openalex.org/W1883350175","https://openalex.org/W1933908831","https://openalex.org/W1946001938","https://openalex.org/W2009080312","https://openalex.org/W2028573862","https://openalex.org/W2041026247","https://openalex.org/W2065313971","https://openalex.org/W2116969922","https://openalex.org/W2118383225","https://openalex.org/W2126495679","https://openalex.org/W2133161840","https://openalex.org/W2141094975","https://openalex.org/W2149316644","https://openalex.org/W2153399785","https://openalex.org/W2163703640","https://openalex.org/W2166460923","https://openalex.org/W2986699428","https://openalex.org/W3195133498","https://openalex.org/W4298179518"],"related_works":["https://openalex.org/W2546583032","https://openalex.org/W2502316694","https://openalex.org/W2014499177","https://openalex.org/W1970891665","https://openalex.org/W2045478930","https://openalex.org/W2743671885","https://openalex.org/W2588628789","https://openalex.org/W2043684274","https://openalex.org/W2544158828","https://openalex.org/W4250782851"],"abstract_inverted_index":{"Track":[0],"density":[1,21],"in":[2,68,123,192],"hard":[3],"disk":[4,265],"drives":[5],"(HDD)":[6],"is":[7,52,71,170,208,232,237,260,292],"related":[8],"to":[9,39,110,182,255,269],"the":[10,14,27,31,36,40,43,48,65,74,90,94,96,136,146,152,162,173,184,189,193,202,215,220,224,227,245,257,273,285,297,301],"performance":[11,28,46],"characteristics":[12,29],"of":[13,30,42,47,76,93,106,135,154,158,168,201,223,226,247,272,300],"HDD":[15,70],"servo":[16,32,77,148,286],"control":[17,49,120],"system.":[18],"Higher":[19],"track":[20],"can":[22,132],"be":[23,100],"achieved":[24],"by":[25,55,73,89,144,284],"improving":[26],"controller":[33,97],"that":[34,80,122,131,213,282],"keeps":[35],"head":[37],"close":[38],"center":[41],"track.":[44],"The":[45,165,205,230,251,289],"system":[50],"however":[51],"often":[53],"limited":[54,72],"its":[56],"bandwidth.":[57],"High":[58],"bandwidth":[59,98,111],"implies":[60,117],"high":[61,141],"sampling":[62,66,115,142],"rate.":[63],"Since":[64],"rate":[67,116],"most":[69],"number":[75],"burst":[78,149,287],"sectors":[79],"have":[81],"prewritten":[82],"position":[83],"error":[84,176],"signal":[85],"(PES)":[86],"data":[87,163,180,218],"and":[88,151,236,267,294],"spinning":[91],"speed":[92],"HDD,":[95],"cannot":[99],"increased":[101],"beyond":[102],"a":[103,113,155,209,233,276],"certain":[104],"range":[105],"values.":[107],"In":[108],"addition":[109],"considerations,":[112],"higher":[114,280],"more":[118],"accurate":[119],"action":[121],"turn":[124],"improves":[125],"performance.":[126],"We":[127],"present":[128],"an":[129,263],"algorithm":[130,191,231],"generate":[133],"estimates":[134],"PES":[137,159,169,274],"during":[138],"read":[139,203,298],"at":[140,275],"rates":[143],"processing":[145],"dedicated":[147],"measurements":[150,153],"nonlinear":[156,166,206,234],"function":[157,167,207],"obtained":[160],"from":[161,172],"sectors.":[164],"generated":[171,283],"mean":[174],"square":[175],"(MSE)":[177],"path":[178],"metric":[179],"used":[181],"choose":[183],"correct":[185],"bit":[186],"sequence":[187],"using":[188],"Viterbi":[190],"partial":[194],"response":[195],"maximum":[196],"likelihood":[197],"(PRML)":[198],"decoding":[199],"process":[200],"signal.":[204],"parabola-like":[210],"curve":[211],"(bathtub)":[212],"relates":[214],"accumulated":[216],"MSE":[217],"with":[219,244],"absolute":[221],"value":[222],"location":[225],"written":[228],"data.":[229],"one":[235],"based":[238],"on":[239,262],"several":[240],"logic":[241],"statements":[242],"together":[243],"use":[246],"two":[248],"state":[249],"observers.":[250],"estimation":[252],"algorithm,":[253],"referred":[254],"as":[256],"ACORN":[258,290],"estimator":[259,291],"tested":[261,295],"actual":[264],"drive":[266],"demonstrated":[268],"provide":[270],"values":[271],"frequency":[277],"four":[278],"times":[279],"than":[281],"measurements.":[288],"designed":[293],"for":[296],"phase":[299],"HDD.":[302]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
