{"id":"https://openalex.org/W2423234822","doi":"https://doi.org/10.1109/wodes.2016.7497847","title":"Communication rate analysis for event-based state estimation","display_name":"Communication rate analysis for event-based state estimation","publication_year":2016,"publication_date":"2016-05-01","ids":{"openalex":"https://openalex.org/W2423234822","doi":"https://doi.org/10.1109/wodes.2016.7497847","mag":"2423234822"},"language":"en","primary_location":{"id":"doi:10.1109/wodes.2016.7497847","is_oa":false,"landing_page_url":"https://doi.org/10.1109/wodes.2016.7497847","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 13th International Workshop on Discrete Event Systems (WODES)","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/A5063503039","display_name":"Simon Ebner","orcid":null},"institutions":[{"id":"https://openalex.org/I4210135521","display_name":"Max Planck Institute for Intelligent Systems","ror":"https://ror.org/04fq9j139","country_code":"DE","type":"facility","lineage":["https://openalex.org/I149899117","https://openalex.org/I4210135521"]}],"countries":["DE"],"is_corresponding":true,"raw_author_name":"Simon Ebner","raw_affiliation_strings":["Autonomous Motion Department, Max Planck Institute for Intelligent Systems, T\u00fcbingen, Germany"],"affiliations":[{"raw_affiliation_string":"Autonomous Motion Department, Max Planck Institute for Intelligent Systems, T\u00fcbingen, Germany","institution_ids":["https://openalex.org/I4210135521"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5023990842","display_name":"Sebastian Trimpe","orcid":"https://orcid.org/0000-0002-2785-2487"},"institutions":[{"id":"https://openalex.org/I4210135521","display_name":"Max Planck Institute for Intelligent Systems","ror":"https://ror.org/04fq9j139","country_code":"DE","type":"facility","lineage":["https://openalex.org/I149899117","https://openalex.org/I4210135521"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Sebastian Trimpe","raw_affiliation_strings":["Autonomous Motion Department, Max Planck Institute for Intelligent Systems, T\u00fcbingen, Germany"],"affiliations":[{"raw_affiliation_string":"Autonomous Motion Department, Max Planck Institute for Intelligent Systems, T\u00fcbingen, Germany","institution_ids":["https://openalex.org/I4210135521"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5063503039"],"corresponding_institution_ids":["https://openalex.org/I4210135521"],"apc_list":null,"apc_paid":null,"fwci":0.2953,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.63277518,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"189","last_page":"196"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12879","display_name":"Distributed Sensor Networks and Detection Algorithms","score":0.9965000152587891,"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"}},"topics":[{"id":"https://openalex.org/T12879","display_name":"Distributed Sensor Networks and Detection Algorithms","score":0.9965000152587891,"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/T10080","display_name":"Energy Efficient Wireless Sensor Networks","score":0.992900013923645,"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/T10876","display_name":"Fault Detection and Control Systems","score":0.9836999773979187,"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/communication-source","display_name":"Communication source","score":0.7514451742172241},{"id":"https://openalex.org/keywords/estimator","display_name":"Estimator","score":0.712753415107727},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6404911279678345},{"id":"https://openalex.org/keywords/robot","display_name":"Robot","score":0.6158987879753113},{"id":"https://openalex.org/keywords/event","display_name":"Event (particle physics)","score":0.580007791519165},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.5653650760650635},{"id":"https://openalex.org/keywords/variance","display_name":"Variance (accounting)","score":0.4936879575252533},{"id":"https://openalex.org/keywords/gaussian-process","display_name":"Gaussian process","score":0.46685224771499634},{"id":"https://openalex.org/keywords/gaussian","display_name":"Gaussian","score":0.4657934904098511},{"id":"https://openalex.org/keywords/state","display_name":"State (computer science)","score":0.45649635791778564},{"id":"https://openalex.org/keywords/closed-form-expression","display_name":"Closed-form expression","score":0.41747021675109863},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.39215564727783203},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.25796252489089966},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.24417057633399963},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.195715069770813},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.11154994368553162}],"concepts":[{"id":"https://openalex.org/C198104137","wikidata":"https://www.wikidata.org/wiki/Q974688","display_name":"Communication source","level":2,"score":0.7514451742172241},{"id":"https://openalex.org/C185429906","wikidata":"https://www.wikidata.org/wiki/Q1130160","display_name":"Estimator","level":2,"score":0.712753415107727},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6404911279678345},{"id":"https://openalex.org/C90509273","wikidata":"https://www.wikidata.org/wiki/Q11012","display_name":"Robot","level":2,"score":0.6158987879753113},{"id":"https://openalex.org/C2779662365","wikidata":"https://www.wikidata.org/wiki/Q5416694","display_name":"Event (particle physics)","level":2,"score":0.580007791519165},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.5653650760650635},{"id":"https://openalex.org/C196083921","wikidata":"https://www.wikidata.org/wiki/Q7915758","display_name":"Variance (accounting)","level":2,"score":0.4936879575252533},{"id":"https://openalex.org/C61326573","wikidata":"https://www.wikidata.org/wiki/Q1496376","display_name":"Gaussian process","level":3,"score":0.46685224771499634},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.4657934904098511},{"id":"https://openalex.org/C48103436","wikidata":"https://www.wikidata.org/wiki/Q599031","display_name":"State (computer science)","level":2,"score":0.45649635791778564},{"id":"https://openalex.org/C4530962","wikidata":"https://www.wikidata.org/wiki/Q777407","display_name":"Closed-form expression","level":2,"score":0.41747021675109863},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.39215564727783203},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.25796252489089966},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.24417057633399963},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.195715069770813},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.11154994368553162},{"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/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.0},{"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/C121955636","wikidata":"https://www.wikidata.org/wiki/Q4116214","display_name":"Accounting","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/wodes.2016.7497847","is_oa":false,"landing_page_url":"https://doi.org/10.1109/wodes.2016.7497847","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 13th International Workshop on Discrete Event Systems (WODES)","raw_type":"proceedings-article"},{"id":"pmh:oai:pure.mpg.de:item_2394964","is_oa":false,"landing_page_url":"http://hdl.handle.net/11858/00-001M-0000-002D-19A9-4","pdf_url":null,"source":{"id":"https://openalex.org/S4306400654","display_name":"MPG.PuRe (Max Planck Society)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I149899117","host_organization_name":"Max Planck Society","host_organization_lineage":["https://openalex.org/I149899117"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Proceedings of the 13th International Workshop on Discrete Event Systems","raw_type":"info:eu-repo/semantics/conferenceObject"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":27,"referenced_works":["https://openalex.org/W367265759","https://openalex.org/W847407712","https://openalex.org/W1586559311","https://openalex.org/W1595466107","https://openalex.org/W1916915378","https://openalex.org/W1918264020","https://openalex.org/W2003138569","https://openalex.org/W2009102111","https://openalex.org/W2013629441","https://openalex.org/W2043807316","https://openalex.org/W2054699635","https://openalex.org/W2072651199","https://openalex.org/W2101170002","https://openalex.org/W2110239765","https://openalex.org/W2125794835","https://openalex.org/W2128882795","https://openalex.org/W2165519686","https://openalex.org/W2271736330","https://openalex.org/W2345067629","https://openalex.org/W2477175076","https://openalex.org/W2790374560","https://openalex.org/W2795510935","https://openalex.org/W4285719527","https://openalex.org/W6612559352","https://openalex.org/W6623600802","https://openalex.org/W6694107294","https://openalex.org/W6704475407"],"related_works":["https://openalex.org/W2993833576","https://openalex.org/W2776877297","https://openalex.org/W3125718803","https://openalex.org/W2127920220","https://openalex.org/W3119288169","https://openalex.org/W2945097178","https://openalex.org/W4388741024","https://openalex.org/W3122953031","https://openalex.org/W1964286703","https://openalex.org/W2169866437"],"abstract_inverted_index":{"The":[0,78],"average":[1,48],"communication":[2,49,83],"in":[3,14,69,87],"a":[4,20,31,90],"typical":[5],"event-based":[6,37,42],"state":[7],"estimation":[8],"scenario":[9],"is":[10,51,54],"analyzed":[11],"analytically":[12],"and":[13,24,28,73],"robot":[15,92],"experiments.":[16],"A":[17],"sender":[18],"observes":[19],"linear":[21],"Gaussian":[22],"process":[23],"sporadically":[25],"transmits":[26],"mean":[27],"variance":[29],"to":[30,35],"remote":[32],"estimator":[33],"according":[34],"an":[36,44],"protocol.":[38],"By":[39],"exploiting":[40],"the":[41,47,65,82],"architecture,":[43],"expression":[45],"for":[46,56,64,81],"rate":[50,67,84],"obtained,":[52],"which":[53],"useful":[55],"numerical":[57],"computation.":[58],"In":[59],"addition,":[60],"approximate":[61],"closed-form":[62],"expressions":[63],"steady-state":[66],"(given":[68],"terms":[70],"of":[71,89],"problem":[72],"design":[74],"parameters)":[75],"are":[76,85],"derived.":[77],"analytic":[79],"results":[80],"verified":[86],"experiments":[88],"one-dimensional":[91],"link.":[93]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2018,"cited_by_count":1}],"updated_date":"2026-04-05T17:49:38.594831","created_date":"2025-10-10T00:00:00"}