{"id":"https://openalex.org/W3172653116","doi":"https://doi.org/10.1109/taes.2021.3111726","title":"Optimal Sensor Precision for Multirate Sensing for Bounded Estimation Error","display_name":"Optimal Sensor Precision for Multirate Sensing for Bounded Estimation Error","publication_year":2021,"publication_date":"2021-09-10","ids":{"openalex":"https://openalex.org/W3172653116","doi":"https://doi.org/10.1109/taes.2021.3111726","mag":"3172653116"},"language":"en","primary_location":{"id":"doi:10.1109/taes.2021.3111726","is_oa":false,"landing_page_url":"https://doi.org/10.1109/taes.2021.3111726","pdf_url":null,"source":{"id":"https://openalex.org/S193624734","display_name":"IEEE Transactions on Aerospace and Electronic Systems","issn_l":"0018-9251","issn":["0018-9251","1557-9603","2371-9877"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Aerospace and Electronic Systems","raw_type":"journal-article"},"type":"article","indexed_in":["arxiv","crossref","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2106.06906","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5006808473","display_name":"Niladri Das","orcid":"https://orcid.org/0000-0003-2494-2628"},"institutions":[{"id":"https://openalex.org/I91045830","display_name":"Texas A&M University","ror":"https://ror.org/01f5ytq51","country_code":"US","type":"education","lineage":["https://openalex.org/I91045830"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Niladri Das","raw_affiliation_strings":["Texas A and M University, College Station, USA","\u2020Texas A&M University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Texas A and M University, College Station, USA","institution_ids":["https://openalex.org/I91045830"]},{"raw_affiliation_string":"\u2020Texas A&M University","institution_ids":["https://openalex.org/I91045830"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5006156978","display_name":"Raktim Bhattacharya","orcid":"https://orcid.org/0000-0002-8218-2631"},"institutions":[{"id":"https://openalex.org/I91045830","display_name":"Texas A&M University","ror":"https://ror.org/01f5ytq51","country_code":"US","type":"education","lineage":["https://openalex.org/I91045830"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Raktim Bhattacharya","raw_affiliation_strings":["Texas A and M University, College Station, USA","\u2020Texas A&M University"],"raw_orcid":"https://orcid.org/0000-0002-8218-2631","affiliations":[{"raw_affiliation_string":"Texas A and M University, College Station, USA","institution_ids":["https://openalex.org/I91045830"]},{"raw_affiliation_string":"\u2020Texas A&M University","institution_ids":["https://openalex.org/I91045830"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I91045830"],"apc_list":{"value":2045,"currency":"USD","value_usd":2045},"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.07958527,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"58","issue":"2","first_page":"844","last_page":"854"},"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":0.9995999932289124,"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":0.9995999932289124,"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":0.9994999766349792,"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"}},{"id":"https://openalex.org/T10046","display_name":"Stability and Control of Uncertain Systems","score":0.9980999827384949,"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/bounded-function","display_name":"Bounded function","score":0.6278482675552368},{"id":"https://openalex.org/keywords/kalman-filter","display_name":"Kalman filter","score":0.5804672241210938},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.5730207562446594},{"id":"https://openalex.org/keywords/convex-optimization","display_name":"Convex optimization","score":0.5003509521484375},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4840892553329468},{"id":"https://openalex.org/keywords/upper-and-lower-bounds","display_name":"Upper and lower bounds","score":0.4756861925125122},{"id":"https://openalex.org/keywords/schedule","display_name":"Schedule","score":0.45448657870292664},{"id":"https://openalex.org/keywords/linear-system","display_name":"Linear system","score":0.42867618799209595},{"id":"https://openalex.org/keywords/discrete-time-and-continuous-time","display_name":"Discrete time and continuous time","score":0.4118942618370056},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.39807552099227905},{"id":"https://openalex.org/keywords/regular-polygon","display_name":"Regular polygon","score":0.38886889815330505},{"id":"https://openalex.org/keywords/control-theory","display_name":"Control theory (sociology)","score":0.3732687830924988},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.336150586605072},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.10690584778785706},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.08763629198074341}],"concepts":[{"id":"https://openalex.org/C34388435","wikidata":"https://www.wikidata.org/wiki/Q2267362","display_name":"Bounded function","level":2,"score":0.6278482675552368},{"id":"https://openalex.org/C157286648","wikidata":"https://www.wikidata.org/wiki/Q846780","display_name":"Kalman filter","level":2,"score":0.5804672241210938},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.5730207562446594},{"id":"https://openalex.org/C157972887","wikidata":"https://www.wikidata.org/wiki/Q463359","display_name":"Convex optimization","level":3,"score":0.5003509521484375},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4840892553329468},{"id":"https://openalex.org/C77553402","wikidata":"https://www.wikidata.org/wiki/Q13222579","display_name":"Upper and lower bounds","level":2,"score":0.4756861925125122},{"id":"https://openalex.org/C68387754","wikidata":"https://www.wikidata.org/wiki/Q7271585","display_name":"Schedule","level":2,"score":0.45448657870292664},{"id":"https://openalex.org/C6802819","wikidata":"https://www.wikidata.org/wiki/Q1072174","display_name":"Linear system","level":2,"score":0.42867618799209595},{"id":"https://openalex.org/C55689738","wikidata":"https://www.wikidata.org/wiki/Q15963867","display_name":"Discrete time and continuous time","level":2,"score":0.4118942618370056},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.39807552099227905},{"id":"https://openalex.org/C112680207","wikidata":"https://www.wikidata.org/wiki/Q714886","display_name":"Regular polygon","level":2,"score":0.38886889815330505},{"id":"https://openalex.org/C47446073","wikidata":"https://www.wikidata.org/wiki/Q5165890","display_name":"Control theory (sociology)","level":3,"score":0.3732687830924988},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.336150586605072},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.10690584778785706},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.08763629198074341},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","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},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","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}],"mesh":[],"locations_count":5,"locations":[{"id":"doi:10.1109/taes.2021.3111726","is_oa":false,"landing_page_url":"https://doi.org/10.1109/taes.2021.3111726","pdf_url":null,"source":{"id":"https://openalex.org/S193624734","display_name":"IEEE Transactions on Aerospace and Electronic Systems","issn_l":"0018-9251","issn":["0018-9251","1557-9603","2371-9877"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Aerospace and Electronic Systems","raw_type":"journal-article"},{"id":"pmh:oai:arXiv.org:2106.06906","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2106.06906","pdf_url":"https://arxiv.org/pdf/2106.06906","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},{"id":"mag:3172653116","is_oa":true,"landing_page_url":"https://arxiv.org/pdf/2106.06906.pdf","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"arXiv (Cornell University)","raw_type":null},{"id":"doi:10.48550/arxiv.2106.06906","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2106.06906","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"Preprint"},{"id":"doi:10.13140/rg.2.2.22073.08806","is_oa":true,"landing_page_url":"https://doi.org/10.13140/rg.2.2.22073.08806","pdf_url":null,"source":null,"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"article-journal"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2106.06906","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2106.06906","pdf_url":"https://arxiv.org/pdf/2106.06906","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G3068826093","display_name":"Modeling, Analysis, and Diagnostics of High Strength-to-Weight Wind Turbine Blades Using Tensegrity Principles","funder_award_id":"1762825","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G980540841","display_name":null,"funder_award_id":"1762825","funder_id":"https://openalex.org/F4320335353","funder_display_name":"National Science Foundation of Sri Lanka"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"},{"id":"https://openalex.org/F4320335353","display_name":"National Science Foundation of Sri Lanka","ror":"https://ror.org/010xaa060"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":29,"referenced_works":["https://openalex.org/W1523217322","https://openalex.org/W1554944419","https://openalex.org/W1592651996","https://openalex.org/W1803898544","https://openalex.org/W1938602245","https://openalex.org/W1980183459","https://openalex.org/W1994703549","https://openalex.org/W1994980584","https://openalex.org/W1999824796","https://openalex.org/W2021198525","https://openalex.org/W2032270969","https://openalex.org/W2044136843","https://openalex.org/W2058590322","https://openalex.org/W2067517086","https://openalex.org/W2076712618","https://openalex.org/W2107861471","https://openalex.org/W2143163931","https://openalex.org/W2169207653","https://openalex.org/W2336354911","https://openalex.org/W2538874739","https://openalex.org/W2582646431","https://openalex.org/W2614376994","https://openalex.org/W2736176885","https://openalex.org/W2765130077","https://openalex.org/W2923642485","https://openalex.org/W2963005128","https://openalex.org/W2964202295","https://openalex.org/W3102961917","https://openalex.org/W3210839039"],"related_works":["https://openalex.org/W3201287413","https://openalex.org/W2169423308","https://openalex.org/W2110318092","https://openalex.org/W2088461314","https://openalex.org/W2735251355","https://openalex.org/W3111045204","https://openalex.org/W2078550261","https://openalex.org/W2773935541","https://openalex.org/W1494602250","https://openalex.org/W1898697183","https://openalex.org/W3013418284","https://openalex.org/W2979035382","https://openalex.org/W2153198251","https://openalex.org/W2275145366","https://openalex.org/W2294822684","https://openalex.org/W2324623236","https://openalex.org/W2729067470","https://openalex.org/W2783619287","https://openalex.org/W2076089420","https://openalex.org/W3023369351"],"abstract_inverted_index":{"We":[0],"address":[1],"the":[2,11,24,31,36,55,60,76,81,104,107],"problem":[3],"of":[4,13,106],"determining":[5],"optimal":[6],"sensor":[7,37,65,82],"precisions":[8,38,66],"for":[9,116,133],"estimating":[10],"states":[12,124],"linear":[14,117,134],"time-varying":[15,135],"discrete-time":[16],"stochastic":[17],"dynamical":[18],"systems,":[19,120],"with":[20,125],"guaranteed":[21],"bounds":[22],"on":[23,59],"estimation":[25],"errors.":[26],"This":[27],"is":[28,87],"performed":[29],"in":[30,75],"Kalman":[32],"filtering":[33],"framework,":[34],"where":[35],"are":[39,44,67],"treated":[40],"as":[41],"variables.":[42],"They":[43],"determined":[45,68],"by":[46,69],"solving":[47],"a":[48],"constrained":[49],"convex":[50],"optimization":[51],"problem,":[52],"which":[53,72],"guarantees":[54],"specified":[56],"upper":[57],"bound":[58],"posterior":[61],"error":[62],"variance.":[63],"Optimal":[64],"minimizing":[70],"the$l_1$norm,":[71],"promotes":[73],"sparseness":[74],"solution":[77],"and":[78,93,128],"indirectly":[79],"addresses":[80],"selection":[83],"problem.":[84],"The":[85],"theory":[86,109],"applied":[88],"to":[89,96,110],"realistic":[90],"flight":[91],"mechanics":[92],"astrodynamics":[94],"problems":[95],"highlight":[97],"its":[98],"engineering":[99],"value.":[100],"These":[101],"examples":[102],"demonstrate":[103],"application":[105],"presented":[108],"1)":[111],"determine":[112],"redundant":[113],"sensing":[114],"architectures":[115],"time":[118],"invariant":[119],"2)":[121],"accurately":[122],"estimate":[123],"low-cost":[126],"sensors,":[127],"3)":[129],"optimally":[130],"schedule":[131],"sensors":[132],"systems.":[136]},"counts_by_year":[],"updated_date":"2026-08-28T12:50:07.497085","created_date":"2025-10-10T00:00:00"}
