{"id":"https://openalex.org/W7163553941","doi":"https://doi.org/10.48550/arxiv.2606.04361","title":"When Mean Age Is Not Enough: Distribution-Aware Scheduling for Networked LQR Control","display_name":"When Mean Age Is Not Enough: Distribution-Aware Scheduling for Networked LQR Control","publication_year":2026,"publication_date":"2026-06-03","ids":{"openalex":"https://openalex.org/W7163553941","doi":"https://doi.org/10.48550/arxiv.2606.04361"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2606.04361","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2606.04361","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":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"},"type":"preprint","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.48550/arxiv.2606.04361","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5137908362","display_name":"Abdullah Y. Etcibasi","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Etcibasi, Abdullah Y.","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5137889529","display_name":"C. Emre Koksal","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Koksal, C. Emre","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5082165966","display_name":"Eylem Ekici","orcid":"https://orcid.org/0000-0002-6227-8951"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ekici, Eylem","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13553","display_name":"Age of Information Optimization","score":0.9995999932289124,"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/T13553","display_name":"Age of Information Optimization","score":0.9995999932289124,"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/T10764","display_name":"Privacy-Preserving Technologies in Data","score":0.0,"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/T11409","display_name":"Advanced Wireless Network Optimization","score":0.0,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic 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/control-theory","display_name":"Control theory (sociology)","score":0.5249999761581421},{"id":"https://openalex.org/keywords/intuition","display_name":"Intuition","score":0.5131999850273132},{"id":"https://openalex.org/keywords/autocorrelation","display_name":"Autocorrelation","score":0.47690001130104065},{"id":"https://openalex.org/keywords/scheduling","display_name":"Scheduling (production processes)","score":0.4754999876022339},{"id":"https://openalex.org/keywords/optimal-control","display_name":"Optimal control","score":0.38600000739097595},{"id":"https://openalex.org/keywords/performance-metric","display_name":"Performance metric","score":0.3718999922275543},{"id":"https://openalex.org/keywords/exponential-distribution","display_name":"Exponential distribution","score":0.3686000108718872},{"id":"https://openalex.org/keywords/interval","display_name":"Interval (graph theory)","score":0.34689998626708984},{"id":"https://openalex.org/keywords/statistical-process-control","display_name":"Statistical process control","score":0.335999995470047}],"concepts":[{"id":"https://openalex.org/C47446073","wikidata":"https://www.wikidata.org/wiki/Q5165890","display_name":"Control theory (sociology)","level":3,"score":0.5249999761581421},{"id":"https://openalex.org/C132010649","wikidata":"https://www.wikidata.org/wiki/Q189222","display_name":"Intuition","level":2,"score":0.5131999850273132},{"id":"https://openalex.org/C5297727","wikidata":"https://www.wikidata.org/wiki/Q786970","display_name":"Autocorrelation","level":2,"score":0.47690001130104065},{"id":"https://openalex.org/C206729178","wikidata":"https://www.wikidata.org/wiki/Q2271896","display_name":"Scheduling (production processes)","level":2,"score":0.4754999876022339},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4571000039577484},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.42890000343322754},{"id":"https://openalex.org/C91575142","wikidata":"https://www.wikidata.org/wiki/Q1971426","display_name":"Optimal control","level":2,"score":0.38600000739097595},{"id":"https://openalex.org/C2780898871","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Performance metric","level":2,"score":0.3718999922275543},{"id":"https://openalex.org/C55350006","wikidata":"https://www.wikidata.org/wiki/Q237193","display_name":"Exponential distribution","level":2,"score":0.3686000108718872},{"id":"https://openalex.org/C2778067643","wikidata":"https://www.wikidata.org/wiki/Q166507","display_name":"Interval (graph theory)","level":2,"score":0.34689998626708984},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3425999879837036},{"id":"https://openalex.org/C113644684","wikidata":"https://www.wikidata.org/wiki/Q1356717","display_name":"Statistical process control","level":3,"score":0.335999995470047},{"id":"https://openalex.org/C151376022","wikidata":"https://www.wikidata.org/wiki/Q168698","display_name":"Exponential function","level":2,"score":0.32659998536109924},{"id":"https://openalex.org/C176217482","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Metric (unit)","level":2,"score":0.3206999897956848},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.31130000948905945},{"id":"https://openalex.org/C149441793","wikidata":"https://www.wikidata.org/wiki/Q200726","display_name":"Probability distribution","level":2,"score":0.3075000047683716},{"id":"https://openalex.org/C77553402","wikidata":"https://www.wikidata.org/wiki/Q13222579","display_name":"Upper and lower bounds","level":2,"score":0.2969000041484833},{"id":"https://openalex.org/C17500928","wikidata":"https://www.wikidata.org/wiki/Q959968","display_name":"Control system","level":2,"score":0.2962999939918518},{"id":"https://openalex.org/C75235859","wikidata":"https://www.wikidata.org/wiki/Q582659","display_name":"Exponential growth","level":2,"score":0.29269999265670776},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.28610000014305115},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.2831000089645386},{"id":"https://openalex.org/C98779006","wikidata":"https://www.wikidata.org/wiki/Q2520550","display_name":"Linear-quadratic regulator","level":3,"score":0.2736999988555908},{"id":"https://openalex.org/C31531917","wikidata":"https://www.wikidata.org/wiki/Q915157","display_name":"Robust control","level":3,"score":0.26489999890327454},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.26409998536109924},{"id":"https://openalex.org/C55416958","wikidata":"https://www.wikidata.org/wiki/Q6206757","display_name":"Job shop scheduling","level":3,"score":0.26350000500679016},{"id":"https://openalex.org/C155386361","wikidata":"https://www.wikidata.org/wiki/Q1649571","display_name":"Process control","level":3,"score":0.2623000144958496}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2606.04361","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2606.04361","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":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"Preprint"}],"best_oa_location":{"id":"doi:10.48550/arxiv.2606.04361","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2606.04361","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":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Age":[0],"of":[1,12,32,99,119,161],"Information":[2],"(AoI)":[3],"has":[4],"become":[5],"a":[6,39,52],"central":[7],"metric":[8],"for":[9,41,67,195],"the":[10,30,60,87,97,120,144,159,162,169,176,184],"design":[11],"wireless":[13],"update":[14],"systems,":[15],"especially":[16],"in":[17,64,111],"applications":[18],"where":[19],"fresh":[20],"measurements":[21],"support":[22],"tracking,":[23],"estimation,":[24],"and":[25,110,152],"control.":[26],"Despite":[27],"its":[28,127],"popularity,":[29],"use":[31],"mean":[33,61,133,190],"AoI":[34,37,62,134,191],"or":[35,113],"peak":[36],"as":[38],"surrogate":[40],"closed-loop":[42],"performance":[43,186],"is":[44,63,193],"often":[45],"motivated":[46],"by":[47,51],"intuition":[48],"rather":[49,123],"than":[50,124],"control-theoretic":[53],"derivation.":[54],"This":[55],"paper":[56],"examines":[57],"whether":[58],"minimizing":[59],"fact":[65],"optimal":[66],"networked":[68],"control":[69],"systems.":[70],"For":[71],"scalar":[72],"linear":[73],"time-invariant":[74],"systems":[75],"with":[76,131,148],"delayed":[77],"intermittent":[78],"updates,":[79],"we":[80,167],"show":[81],"that,":[82],"under":[83],"state-independent":[84],"scheduling":[85],"policies,":[86],"infinite-horizon":[88],"LQR":[89],"tracking":[90,139],"problem":[91],"reduces":[92],"to":[93,146],"an":[94],"optimization":[95],"over":[96],"distribution":[98],"inter-scheduling":[100,121],"intervals.":[101],"The":[102,180],"resulting":[103],"objective":[104],"depends":[105],"on":[106,116,126],"higher-order":[107],"statistical":[108],"moments,":[109,118],"unstable":[112],"correlated":[114],"regimes":[115],"exponential":[117],"process":[122],"only":[125],"mean.":[128],"Consequently,":[129],"policies":[130],"identical":[132],"can":[135],"induce":[136],"substantially":[137],"different":[138],"costs.":[140],"We":[141],"further":[142],"extend":[143],"analysis":[145],"disturbances":[147],"exponentially":[149],"decaying":[150],"autocorrelation":[151],"derive":[153],"equivalent":[154],"cost":[155],"formulations":[156],"that":[157,189],"expose":[158],"role":[160],"full":[163],"interval":[164],"distribution.":[165],"Finally,":[166],"evaluate":[168],"theory":[170],"using":[171],"real":[172],"vehicle":[173],"trajectories":[174],"from":[175],"NGSIM":[177],"US-101":[178],"dataset.":[179],"empirical":[181],"results":[182],"match":[183],"predicted":[185],"trends,":[187],"demonstrating":[188],"alone":[192],"insufficient":[194],"control-oriented":[196],"network":[197],"design.":[198]},"counts_by_year":[],"updated_date":"2026-07-28T07:46:37.118299","created_date":"2026-06-05T00:00:00"}
