{"id":"https://openalex.org/W4315471843","doi":"https://doi.org/10.1109/cdc51059.2022.9992780","title":"Self-Tuning Network Control Architectures","display_name":"Self-Tuning Network Control Architectures","publication_year":2022,"publication_date":"2022-12-06","ids":{"openalex":"https://openalex.org/W4315471843","doi":"https://doi.org/10.1109/cdc51059.2022.9992780"},"language":"en","primary_location":{"id":"doi:10.1109/cdc51059.2022.9992780","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/cdc51059.2022.9992780","pdf_url":null,"source":{"id":"https://openalex.org/S4363607710","display_name":"2022 IEEE 61st Conference on Decision and Control (CDC)","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":"2022 IEEE 61st Conference on Decision and Control (CDC)","raw_type":"proceedings-article"},"type":"article","indexed_in":["arxiv","crossref","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"http://hdl.handle.net/20.500.11850/610071","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","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,Control, Optimization, and Networks Lab","Control, Optimization, and Networks Lab, University of Texas at Dallas"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Texas at Dallas,Control, Optimization, and Networks Lab","institution_ids":["https://openalex.org/I162577319"]},{"raw_affiliation_string":"Control, Optimization, and Networks Lab, University of Texas at Dallas","institution_ids":[]}]},{"author_position":"middle","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,Control, Optimization, and Networks Lab","Control, Optimization, and Networks Lab, University of Texas at Dallas"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Texas at Dallas,Control, Optimization, and Networks Lab","institution_ids":["https://openalex.org/I162577319"]},{"raw_affiliation_string":"Control, Optimization, and Networks Lab, University of Texas at Dallas","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5010259253","display_name":"Iman Shames","orcid":"https://orcid.org/0000-0001-7308-3546"},"institutions":[{"id":"https://openalex.org/I118347636","display_name":"Australian National University","ror":"https://ror.org/019wvm592","country_code":"AU","type":"education","lineage":["https://openalex.org/I118347636"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Iman Shames","raw_affiliation_strings":["Australian National University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Australian National University","institution_ids":["https://openalex.org/I118347636"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5074036292","display_name":"Mathias Hudoba de Badyn","orcid":"https://orcid.org/0000-0003-0955-2381"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Mathias Hudoba de Badyn","raw_affiliation_strings":["ETH Zürich,Automatic Control Laboratory"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"ETH Zürich,Automatic Control Laboratory","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.214,"has_fulltext":true,"cited_by_count":1,"citation_normalized_percentile":{"value":0.38962656,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"1","issue":null,"first_page":"5876","last_page":"5881"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10249","display_name":"Distributed Control Multi-Agent Systems","score":0.9972000122070312,"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/T10249","display_name":"Distributed Control Multi-Agent Systems","score":0.9972000122070312,"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/T10621","display_name":"Gene Regulatory Network Analysis","score":0.9872999787330627,"subfield":{"id":"https://openalex.org/subfields/1312","display_name":"Molecular Biology"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T10917","display_name":"Smart Grid Security and Resilience","score":0.9749000072479248,"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/computer-science","display_name":"Computer science","score":0.7021877765655518},{"id":"https://openalex.org/keywords/reinforcement-learning","display_name":"Reinforcement learning","score":0.660672664642334},{"id":"https://openalex.org/keywords/linear-quadratic-regulator","display_name":"Linear-quadratic regulator","score":0.5949507355690002},{"id":"https://openalex.org/keywords/optimal-control","display_name":"Optimal control","score":0.5736215114593506},{"id":"https://openalex.org/keywords/heuristic","display_name":"Heuristic","score":0.5567446351051331},{"id":"https://openalex.org/keywords/piecewise-linear-function","display_name":"Piecewise linear function","score":0.5097693800926208},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.5024814605712891},{"id":"https://openalex.org/keywords/network-architecture","display_name":"Network architecture","score":0.49329084157943726},{"id":"https://openalex.org/keywords/dynamic-programming","display_name":"Dynamic programming","score":0.46459436416625977},{"id":"https://openalex.org/keywords/state-space","display_name":"State space","score":0.4536551535129547},{"id":"https://openalex.org/keywords/piecewise","display_name":"Piecewise","score":0.4477463364601135},{"id":"https://openalex.org/keywords/markov-decision-process","display_name":"Markov decision process","score":0.4457305073738098},{"id":"https://openalex.org/keywords/control-theory","display_name":"Control theory (sociology)","score":0.3404618501663208},{"id":"https://openalex.org/keywords/markov-process","display_name":"Markov process","score":0.2575088143348694},{"id":"https://openalex.org/keywords/control","display_name":"Control (management)","score":0.24440544843673706},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.16687339544296265},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.14509820938110352},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.13177543878555298}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7021877765655518},{"id":"https://openalex.org/C97541855","wikidata":"https://www.wikidata.org/wiki/Q830687","display_name":"Reinforcement learning","level":2,"score":0.660672664642334},{"id":"https://openalex.org/C98779006","wikidata":"https://www.wikidata.org/wiki/Q2520550","display_name":"Linear-quadratic regulator","level":3,"score":0.5949507355690002},{"id":"https://openalex.org/C91575142","wikidata":"https://www.wikidata.org/wiki/Q1971426","display_name":"Optimal control","level":2,"score":0.5736215114593506},{"id":"https://openalex.org/C173801870","wikidata":"https://www.wikidata.org/wiki/Q201413","display_name":"Heuristic","level":2,"score":0.5567446351051331},{"id":"https://openalex.org/C17095337","wikidata":"https://www.wikidata.org/wiki/Q2375229","display_name":"Piecewise linear function","level":2,"score":0.5097693800926208},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.5024814605712891},{"id":"https://openalex.org/C193415008","wikidata":"https://www.wikidata.org/wiki/Q639681","display_name":"Network architecture","level":2,"score":0.49329084157943726},{"id":"https://openalex.org/C37404715","wikidata":"https://www.wikidata.org/wiki/Q380679","display_name":"Dynamic programming","level":2,"score":0.46459436416625977},{"id":"https://openalex.org/C72434380","wikidata":"https://www.wikidata.org/wiki/Q230930","display_name":"State space","level":2,"score":0.4536551535129547},{"id":"https://openalex.org/C164660894","wikidata":"https://www.wikidata.org/wiki/Q2037833","display_name":"Piecewise","level":2,"score":0.4477463364601135},{"id":"https://openalex.org/C106189395","wikidata":"https://www.wikidata.org/wiki/Q176789","display_name":"Markov decision process","level":3,"score":0.4457305073738098},{"id":"https://openalex.org/C47446073","wikidata":"https://www.wikidata.org/wiki/Q5165890","display_name":"Control theory (sociology)","level":3,"score":0.3404618501663208},{"id":"https://openalex.org/C159886148","wikidata":"https://www.wikidata.org/wiki/Q176645","display_name":"Markov process","level":2,"score":0.2575088143348694},{"id":"https://openalex.org/C2775924081","wikidata":"https://www.wikidata.org/wiki/Q55608371","display_name":"Control (management)","level":2,"score":0.24440544843673706},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.16687339544296265},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.14509820938110352},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.13177543878555298},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","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/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.1109/cdc51059.2022.9992780","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/cdc51059.2022.9992780","pdf_url":null,"source":{"id":"https://openalex.org/S4363607710","display_name":"2022 IEEE 61st Conference on Decision and Control (CDC)","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":"2022 IEEE 61st Conference on Decision and Control (CDC)","raw_type":"proceedings-article"},{"id":"pmh:oai:www.research-collection.ethz.ch:20.500.11850/610071","is_oa":true,"landing_page_url":"http://hdl.handle.net/20.500.11850/610071","pdf_url":null,"source":{"id":"https://openalex.org/S4306402302","display_name":"Repository for Publications and Research Data (ETH Zurich)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I35440088","host_organization_name":"ETH Zurich","host_organization_lineage":["https://openalex.org/I35440088"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"acceptedVersion","is_accepted":true,"is_published":false,"raw_source_name":"2022 IEEE 61st Conference on Decision and Control (CDC)","raw_type":"info:eu-repo/semantics/conferenceObject"},{"id":"pmh:oai:arXiv.org:2301.06699","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2301.06699","pdf_url":"https://arxiv.org/pdf/2301.06699","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"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":"doi:10.3929/ethz-b-000610071","is_oa":true,"landing_page_url":"https://doi.org/10.3929/ethz-b-000610071","pdf_url":null,"source":{"id":"https://openalex.org/S7407051236","display_name":"ETH Z\u00fcrich Research Collection","issn_l":null,"issn":[],"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":"repository"},"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:www.research-collection.ethz.ch:20.500.11850/610071","is_oa":true,"landing_page_url":"http://hdl.handle.net/20.500.11850/610071","pdf_url":null,"source":{"id":"https://openalex.org/S4306402302","display_name":"Repository for Publications and Research Data (ETH Zurich)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I35440088","host_organization_name":"ETH Zurich","host_organization_lineage":["https://openalex.org/I35440088"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"acceptedVersion","is_accepted":true,"is_published":false,"raw_source_name":"2022 IEEE 61st Conference on Decision and Control (CDC)","raw_type":"info:eu-repo/semantics/conferenceObject"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G2521226089","display_name":"CAREER: Data-Driven Control of Dynamical Networks: Robustness, Risk, and Network Architectures","funder_award_id":"2047040","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G3591598716","display_name":null,"funder_award_id":"FA2386","funder_id":"https://openalex.org/F4320338279","funder_display_name":"Air Force Office of Scientific Research"},{"id":"https://openalex.org/G3829510133","display_name":null,"funder_award_id":"ECCS-2047040","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G8059218201","display_name":null,"funder_award_id":"FA2386-19-1-4073","funder_id":"https://openalex.org/F4320338279","funder_display_name":"Air Force Office of Scientific Research"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"},{"id":"https://openalex.org/F4320321652","display_name":"Eidgen\u00f6ssische Technische Hochschule Z\u00fcrich","ror":"https://ror.org/05a28rw58"},{"id":"https://openalex.org/F4320332467","display_name":"U.S. Air Force","ror":"https://ror.org/006gmme17"},{"id":"https://openalex.org/F4320337392","display_name":"Division of Electrical, Communications and Cyber Systems","ror":"https://ror.org/01krpsy48"},{"id":"https://openalex.org/F4320338279","display_name":"Air Force Office of Scientific Research","ror":"https://ror.org/011e9bt93"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":21,"referenced_works":["https://openalex.org/W41554520","https://openalex.org/W1829644108","https://openalex.org/W1938602245","https://openalex.org/W2003949298","https://openalex.org/W2013727221","https://openalex.org/W2078008084","https://openalex.org/W2111725629","https://openalex.org/W2570033587","https://openalex.org/W2734897898","https://openalex.org/W2910597635","https://openalex.org/W3011014846","https://openalex.org/W3018814825","https://openalex.org/W3029436062","https://openalex.org/W3034106245","https://openalex.org/W3034829516","https://openalex.org/W3099972933","https://openalex.org/W3122657053","https://openalex.org/W4210654237","https://openalex.org/W4221156955","https://openalex.org/W4315471843","https://openalex.org/W6677916085"],"related_works":["https://openalex.org/W4389475841","https://openalex.org/W4241327272","https://openalex.org/W2120406836","https://openalex.org/W1996214847","https://openalex.org/W2903299703","https://openalex.org/W2117282672","https://openalex.org/W4211224558","https://openalex.org/W4281791088","https://openalex.org/W2119790124","https://openalex.org/W4385342861"],"abstract_inverted_index":{"We":[0,48,63,117],"formulate":[1],"a":[2,45,50,66,110,148],"general":[3,51,134],"mathematical":[4],"framework":[5],"for":[6,113],"self-tuning":[7,58,123],"network":[8,26,39],"control":[9,30],"architecture":[10,104,163],"design.":[11,116,164],"This":[12],"problem":[13,142],"involves":[14],"jointly":[15],"adapting":[16],"the":[17,25,28,37,56,82,86],"locations":[18],"of":[19,151],"active":[20],"sensors":[21],"and":[22,27,41,80,90,95,140,161],"actuators":[23],"in":[24,75,81,119],"feedback":[29,71],"policy":[31],"to":[32,43,55,146],"all":[33],"available":[34],"information":[35],"about":[36],"time-varying":[38],"state":[40],"dynamics":[42],"optimize":[44],"performance":[46,129],"criterion.":[47],"propose":[49],"solution":[52],"structure":[53],"analogous":[54],"classical":[57],"regulator":[59],"from":[60,154],"adaptive":[61],"control.":[62],"show":[64],"that":[65,122],"special":[67],"case":[68],"with":[69,77,144],"full-state":[70],"can":[72,125],"be":[73],"solved":[74],"principle":[76],"dynamic":[78],"programming,":[79],"linear":[83],"quadratic":[84,94],"setting":[85],"optimal":[87],"cost":[88],"functions":[89],"policies":[91],"are":[92],"piecewise":[93,96],"linear,":[97],"respectively.":[98],"For":[99],"large":[100],"networks":[101],"where":[102],"exhaustive":[103],"search":[105],"is":[106],"prohibitive,":[107],"we":[108],"describe":[109],"greedy":[111],"heuristic":[112],"joint":[114],"architecture-policy":[115],"demonstrate":[118],"numerical":[120],"experiments":[121],"architectures":[124],"provide":[126],"dramatically":[127],"improved":[128],"over":[130],"fixed":[131],"architectures.":[132],"Our":[133],"formulation":[135],"provides":[136],"an":[137],"extremely":[138],"rich":[139],"challenging":[141],"space":[143],"opportunities":[145],"apply":[147],"wide":[149],"variety":[150],"approximation":[152],"methods":[153],"stochastic":[155],"control,":[156],"system":[157],"identification,":[158],"reinforcement":[159],"learning,":[160],"static":[162]},"counts_by_year":[{"year":2022,"cited_by_count":1}],"updated_date":"2026-07-03T08:13:44.112507","created_date":"2025-10-10T00:00:00"}