{"id":"https://openalex.org/W4205685678","doi":"https://doi.org/10.23919/ecc54610.2021.9654889","title":"Performance bounds for robust estimation using the H<sub>\u221e</sub> filter","display_name":"Performance bounds for robust estimation using the H<sub>\u221e</sub> filter","publication_year":2021,"publication_date":"2021-06-29","ids":{"openalex":"https://openalex.org/W4205685678","doi":"https://doi.org/10.23919/ecc54610.2021.9654889"},"language":"en","primary_location":{"id":"doi:10.23919/ecc54610.2021.9654889","is_oa":false,"landing_page_url":"https://doi.org/10.23919/ecc54610.2021.9654889","pdf_url":null,"source":{"id":"https://openalex.org/S4363608272","display_name":"2021 European Control Conference (ECC)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 European Control Conference (ECC)","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/A5087682597","display_name":"Karthik Ganapathy","orcid":"https://orcid.org/0000-0003-4719-7843"},"institutions":[{"id":"https://openalex.org/I162577319","display_name":"The University of Texas at Dallas","ror":"https://ror.org/049emcs32","country_code":"US","type":"education","lineage":["https://openalex.org/I162577319"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Karthik Ganapathy","raw_affiliation_strings":["University of Texas at Dallas, Richardson, TX, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Texas at Dallas, Richardson, TX, USA","institution_ids":["https://openalex.org/I162577319"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5051772147","display_name":"Tyler Summers","orcid":"https://orcid.org/0000-0002-0113-8912"},"institutions":[{"id":"https://openalex.org/I162577319","display_name":"The University of Texas at Dallas","ror":"https://ror.org/049emcs32","country_code":"US","type":"education","lineage":["https://openalex.org/I162577319"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Tyler Summers","raw_affiliation_strings":["University of Texas at Dallas, Richardson, TX, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Texas at Dallas, Richardson, TX, USA","institution_ids":["https://openalex.org/I162577319"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I162577319"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.21777085,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"2329","last_page":"2333"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10046","display_name":"Stability and Control of Uncertain 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/T10046","display_name":"Stability and Control of Uncertain 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/T10711","display_name":"Target Tracking and Data Fusion in Sensor Networks","score":0.998199999332428,"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/T12879","display_name":"Distributed Sensor Networks and Detection Algorithms","score":0.996999979019165,"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":0.8283252716064453},{"id":"https://openalex.org/keywords/kalman-filter","display_name":"Kalman filter","score":0.6128711700439453},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.5864893198013306},{"id":"https://openalex.org/keywords/gramian-matrix","display_name":"Gramian matrix","score":0.5863780379295349},{"id":"https://openalex.org/keywords/extended-kalman-filter","display_name":"Extended Kalman filter","score":0.5459039807319641},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.46770498156547546},{"id":"https://openalex.org/keywords/eigenvalues-and-eigenvectors","display_name":"Eigenvalues and eigenvectors","score":0.45922723412513733},{"id":"https://openalex.org/keywords/riccati-equation","display_name":"Riccati equation","score":0.44890302419662476},{"id":"https://openalex.org/keywords/upper-and-lower-bounds","display_name":"Upper and lower bounds","score":0.44800621271133423},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.44139695167541504},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.4173106849193573},{"id":"https://openalex.org/keywords/identifier","display_name":"Identifier","score":0.4155694842338562},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.37633368372917175},{"id":"https://openalex.org/keywords/control-theory","display_name":"Control theory (sociology)","score":0.3398503065109253},{"id":"https://openalex.org/keywords/applied-mathematics","display_name":"Applied mathematics","score":0.2740219235420227},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.14843061566352844},{"id":"https://openalex.org/keywords/differential-equation","display_name":"Differential equation","score":0.0836871862411499}],"concepts":[{"id":"https://openalex.org/C36299963","wikidata":"https://www.wikidata.org/wiki/Q1369844","display_name":"Observability","level":2,"score":0.8283252716064453},{"id":"https://openalex.org/C157286648","wikidata":"https://www.wikidata.org/wiki/Q846780","display_name":"Kalman filter","level":2,"score":0.6128711700439453},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.5864893198013306},{"id":"https://openalex.org/C77246614","wikidata":"https://www.wikidata.org/wiki/Q1409400","display_name":"Gramian matrix","level":3,"score":0.5863780379295349},{"id":"https://openalex.org/C206833254","wikidata":"https://www.wikidata.org/wiki/Q5421817","display_name":"Extended Kalman filter","level":3,"score":0.5459039807319641},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.46770498156547546},{"id":"https://openalex.org/C158693339","wikidata":"https://www.wikidata.org/wiki/Q190524","display_name":"Eigenvalues and eigenvectors","level":2,"score":0.45922723412513733},{"id":"https://openalex.org/C45473103","wikidata":"https://www.wikidata.org/wiki/Q851503","display_name":"Riccati equation","level":3,"score":0.44890302419662476},{"id":"https://openalex.org/C77553402","wikidata":"https://www.wikidata.org/wiki/Q13222579","display_name":"Upper and lower bounds","level":2,"score":0.44800621271133423},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.44139695167541504},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.4173106849193573},{"id":"https://openalex.org/C154504017","wikidata":"https://www.wikidata.org/wiki/Q853614","display_name":"Identifier","level":2,"score":0.4155694842338562},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.37633368372917175},{"id":"https://openalex.org/C47446073","wikidata":"https://www.wikidata.org/wiki/Q5165890","display_name":"Control theory (sociology)","level":3,"score":0.3398503065109253},{"id":"https://openalex.org/C28826006","wikidata":"https://www.wikidata.org/wiki/Q33521","display_name":"Applied mathematics","level":1,"score":0.2740219235420227},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.14843061566352844},{"id":"https://openalex.org/C78045399","wikidata":"https://www.wikidata.org/wiki/Q11214","display_name":"Differential equation","level":2,"score":0.0836871862411499},{"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/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","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/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","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/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"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/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.23919/ecc54610.2021.9654889","is_oa":false,"landing_page_url":"https://doi.org/10.23919/ecc54610.2021.9654889","pdf_url":null,"source":{"id":"https://openalex.org/S4363608272","display_name":"2021 European Control Conference (ECC)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 European Control Conference (ECC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320338281","display_name":"Army Research Office","ror":"https://ror.org/05epdh915"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":33,"referenced_works":["https://openalex.org/W1829644108","https://openalex.org/W1930354283","https://openalex.org/W1938602245","https://openalex.org/W1972577981","https://openalex.org/W1994657249","https://openalex.org/W2003949298","https://openalex.org/W2008210039","https://openalex.org/W2013727221","https://openalex.org/W2014462617","https://openalex.org/W2018200927","https://openalex.org/W2077401737","https://openalex.org/W2095508586","https://openalex.org/W2100729440","https://openalex.org/W2101420429","https://openalex.org/W2141807041","https://openalex.org/W2564415429","https://openalex.org/W2569307742","https://openalex.org/W2582646431","https://openalex.org/W2618730387","https://openalex.org/W2716284940","https://openalex.org/W2962520377","https://openalex.org/W2962896581","https://openalex.org/W2964180294","https://openalex.org/W2992934504","https://openalex.org/W3038261263","https://openalex.org/W3100843649","https://openalex.org/W3101386134","https://openalex.org/W3103741456","https://openalex.org/W3103915201","https://openalex.org/W3105644668","https://openalex.org/W3119854832","https://openalex.org/W6755033250","https://openalex.org/W6785210445"],"related_works":["https://openalex.org/W2046459260","https://openalex.org/W2765830098","https://openalex.org/W1971989957","https://openalex.org/W3157641275","https://openalex.org/W176642733","https://openalex.org/W2577309101","https://openalex.org/W2205194505","https://openalex.org/W4297797687","https://openalex.org/W2794050453","https://openalex.org/W4366146393"],"abstract_inverted_index":{"A":[0],"key":[1],"concern":[2],"in":[3,19],"network":[4,98,128],"observability":[5,52],"is":[6],"to":[7,115],"quantify":[8],"performance":[9,30,85],"and":[10,25,99,107,110],"robustness":[11],"limitations":[12],"for":[13,32],"state":[14],"estimation":[15,62,84],"from":[16,66],"noisy":[17],"sensors":[18],"terms":[20],"of":[21,42,71,96,104,113],"its":[22],"dynamical":[23],"properties":[24],"sensor":[26,100],"architecture.":[27],"We":[28,118],"develop":[29],"bounds":[31,86,92,132],"the":[33,43,51,61,67,72,88,94,97,102,105,108,131],"robust":[34],"H":[35,73],"<inf":[36,74],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[37,75],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">\u221e</inf>":[38,76],"filter,":[39],"a":[40,56,79,126],"generalization":[41],"Kalman":[44,89],"filter.":[45,77],"Utilizing":[46],"an":[47],"eigenvalue":[48,58],"bound":[49,59],"on":[50,60,87,125],"Gramian,":[53],"we":[54,82],"derive":[55],"related":[57],"error":[63],"covariance":[64],"matrix":[65],"generalized":[68],"Riccati":[69],"equation":[70],"As":[78],"special":[80],"case,":[81],"obtain":[83],"Filter.":[90],"The":[91],"reflect":[93],"cardinality":[95],"set,":[101],"stability":[103],"network,":[106],"number":[109],"specific":[111],"set":[112],"states":[114],"be":[116],"estimated.":[117],"illustrate":[119],"our":[120],"results":[121],"with":[122,134],"numerical":[123],"analysis":[124],"regular":[127],"showing":[129],"how":[130],"change":[133],"system":[135],"parameters.":[136]},"counts_by_year":[],"updated_date":"2026-06-26T08:34:08.712188","created_date":"2025-10-10T00:00:00"}