{"id":"https://openalex.org/W2289841211","doi":"https://doi.org/10.1109/cdc.2015.7403111","title":"Sampled observability of discrete heterogeneous ensembles from anonymized output measurements","display_name":"Sampled observability of discrete heterogeneous ensembles from anonymized output measurements","publication_year":2015,"publication_date":"2015-12-01","ids":{"openalex":"https://openalex.org/W2289841211","doi":"https://doi.org/10.1109/cdc.2015.7403111","mag":"2289841211"},"language":"en","primary_location":{"id":"doi:10.1109/cdc.2015.7403111","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cdc.2015.7403111","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 54th 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/A5081900408","display_name":"Shen Zeng","orcid":"https://orcid.org/0000-0001-5450-8975"},"institutions":[{"id":"https://openalex.org/I100066346","display_name":"University of Stuttgart","ror":"https://ror.org/04vnq7t77","country_code":"DE","type":"education","lineage":["https://openalex.org/I100066346"]}],"countries":["DE"],"is_corresponding":true,"raw_author_name":"Shen Zeng","raw_affiliation_strings":["Institute for Systems Theory and Automatic Control, University of Stuttgart, 70550, Germany"],"affiliations":[{"raw_affiliation_string":"Institute for Systems Theory and Automatic Control, University of Stuttgart, 70550, Germany","institution_ids":["https://openalex.org/I100066346"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5081056634","display_name":"Hideaki Ishii","orcid":"https://orcid.org/0000-0003-0367-824X"},"institutions":[{"id":"https://openalex.org/I114531698","display_name":"Tokyo Institute of Technology","ror":"https://ror.org/0112mx960","country_code":"JP","type":"education","lineage":["https://openalex.org/I114531698"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Hideaki Ishii","raw_affiliation_strings":["Department of Computational Intelligence and Systems Science, Tokyo Institute of Technology, Japan"],"affiliations":[{"raw_affiliation_string":"Department of Computational Intelligence and Systems Science, Tokyo Institute of Technology, Japan","institution_ids":["https://openalex.org/I114531698"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5001090900","display_name":"Frank Allg\u00f6wer","orcid":"https://orcid.org/0000-0002-3702-3658"},"institutions":[{"id":"https://openalex.org/I100066346","display_name":"University of Stuttgart","ror":"https://ror.org/04vnq7t77","country_code":"DE","type":"education","lineage":["https://openalex.org/I100066346"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Frank Allg\u00f6wer","raw_affiliation_strings":["Institute for Systems Theory and Automatic Control, University of Stuttgart, 70550, Germany"],"affiliations":[{"raw_affiliation_string":"Institute for Systems Theory and Automatic Control, University of Stuttgart, 70550, Germany","institution_ids":["https://openalex.org/I100066346"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5081900408"],"corresponding_institution_ids":["https://openalex.org/I100066346"],"apc_list":null,"apc_paid":null,"fwci":1.3353,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.87068117,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":96,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"5683","last_page":"5688"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10711","display_name":"Target Tracking and Data Fusion in Sensor Networks","score":0.9983999729156494,"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"}},"topics":[{"id":"https://openalex.org/T10711","display_name":"Target Tracking and Data Fusion in Sensor Networks","score":0.9983999729156494,"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/T10876","display_name":"Fault Detection and Control Systems","score":0.9959999918937683,"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/T11236","display_name":"Control Systems and Identification","score":0.9897000193595886,"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/observability","display_name":"Observability","score":0.9649037718772888},{"id":"https://openalex.org/keywords/snapshot","display_name":"Snapshot (computer storage)","score":0.8186674118041992},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5875037908554077},{"id":"https://openalex.org/keywords/state","display_name":"State (computer science)","score":0.4798152446746826},{"id":"https://openalex.org/keywords/control-theory","display_name":"Control theory (sociology)","score":0.47776973247528076},{"id":"https://openalex.org/keywords/output-feedback","display_name":"Output feedback","score":0.44138047099113464},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.43537938594818115},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3096965551376343},{"id":"https://openalex.org/keywords/applied-mathematics","display_name":"Applied mathematics","score":0.267761766910553},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.1472775936126709},{"id":"https://openalex.org/keywords/control","display_name":"Control (management)","score":0.11248835921287537}],"concepts":[{"id":"https://openalex.org/C36299963","wikidata":"https://www.wikidata.org/wiki/Q1369844","display_name":"Observability","level":2,"score":0.9649037718772888},{"id":"https://openalex.org/C55282118","wikidata":"https://www.wikidata.org/wiki/Q252683","display_name":"Snapshot (computer storage)","level":2,"score":0.8186674118041992},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5875037908554077},{"id":"https://openalex.org/C48103436","wikidata":"https://www.wikidata.org/wiki/Q599031","display_name":"State (computer science)","level":2,"score":0.4798152446746826},{"id":"https://openalex.org/C47446073","wikidata":"https://www.wikidata.org/wiki/Q5165890","display_name":"Control theory (sociology)","level":3,"score":0.47776973247528076},{"id":"https://openalex.org/C3018623182","wikidata":"https://www.wikidata.org/wiki/Q154021","display_name":"Output feedback","level":3,"score":0.44138047099113464},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.43537938594818115},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3096965551376343},{"id":"https://openalex.org/C28826006","wikidata":"https://www.wikidata.org/wiki/Q33521","display_name":"Applied mathematics","level":1,"score":0.267761766910553},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.1472775936126709},{"id":"https://openalex.org/C2775924081","wikidata":"https://www.wikidata.org/wiki/Q55608371","display_name":"Control (management)","level":2,"score":0.11248835921287537},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/cdc.2015.7403111","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cdc.2015.7403111","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 54th IEEE Conference on Decision and Control (CDC)","raw_type":"proceedings-article"},{"id":"pmh:oai:t2r2.star.titech.ac.jp:50484297","is_oa":false,"landing_page_url":"http://t2r2.star.titech.ac.jp/cgi-bin/publicationinfo.cgi?q_publication_content_number=CTT100802392","pdf_url":null,"source":{"id":"https://openalex.org/S4377196385","display_name":"Tokyo Tech Research Repository (Tokyo Institute of Technology)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I114531698","host_organization_name":"Tokyo Institute of Technology","host_organization_lineage":["https://openalex.org/I114531698"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Conference Paper"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":12,"referenced_works":["https://openalex.org/W1695410790","https://openalex.org/W1977632309","https://openalex.org/W2007704865","https://openalex.org/W2078147285","https://openalex.org/W2083643725","https://openalex.org/W2096140268","https://openalex.org/W2099457710","https://openalex.org/W2129977043","https://openalex.org/W2137585588","https://openalex.org/W2164343005","https://openalex.org/W2167939001","https://openalex.org/W2202424484"],"related_works":["https://openalex.org/W2046459260","https://openalex.org/W2967463586","https://openalex.org/W2765830098","https://openalex.org/W1971989957","https://openalex.org/W2517338020","https://openalex.org/W3157641275","https://openalex.org/W4312300846","https://openalex.org/W2615757685","https://openalex.org/W2098782634","https://openalex.org/W3000546688"],"abstract_inverted_index":{"We":[0,115],"consider":[1],"the":[2,6,17,23,37,42,49,52,56,59,67,83,104,108,121,135],"problem":[3],"of":[4,9,12,22,51,55,99,107,123],"reconstructing":[5],"initial":[7,136],"states":[8],"a":[10,71,87,117,141],"group":[11],"heterogeneous":[13],"LTI":[14],"systems":[15,101],"in":[16,32,45,102,127],"situation":[18],"that":[19,44,61],"output":[20,53,68,77,105,149],"measurements":[21,54,69,106],"subsystems":[24,57,109],"are":[25,75,110],"received":[26],"at":[27,70],"discrete":[28],"time":[29,47,73],"steps":[30],"and":[31,58,138],"an":[33],"anonymized":[34],"manner.":[35],"By":[36],"latter":[38],"we":[39],"refer":[40],"to":[41,129,132],"fact":[43],"each":[46],"step,":[48],"association":[50],"subsystem":[60],"produced":[62],"it":[63],"is":[64,91],"lost.":[65],"Therefore,":[66],"given":[72,112],"step":[74],"called":[76],"snapshot,":[78],"as":[79,86,113],"they":[80],"capture":[81],"only":[82,111],"group's":[84],"outputs":[85],"whole.":[88],"This":[89],"setup":[90],"motivated":[92],"by":[93],"state":[94,145],"estimation":[95,146],"problems":[96],"for":[97,144],"populations":[98],"dynamical":[100],"which":[103],"statistics.":[114],"give":[116],"theoretical":[118],"result":[119],"concerning":[120],"number":[122],"measurement":[124],"times":[125],"needed":[126],"order":[128],"be":[130],"able":[131],"uniquely":[133],"reconstruct":[134],"states,":[137],"furthermore":[139],"illustrate":[140],"practical":[142],"method":[143],"under":[147],"noisy":[148],"snapshots.":[150]},"counts_by_year":[{"year":2016,"cited_by_count":3}],"updated_date":"2026-04-05T17:49:38.594831","created_date":"2025-10-10T00:00:00"}
