{"id":"https://openalex.org/W2914558553","doi":"https://doi.org/10.1109/cdc.2018.8618886","title":"A Risk-Theoretical Approach to <tex>$\\mathcal{H}_{2}$</tex>-Optimal Control Under Covert Attacks","display_name":"A Risk-Theoretical Approach to <tex>$\\mathcal{H}_{2}$</tex>-Optimal Control Under Covert Attacks","publication_year":2018,"publication_date":"2018-12-01","ids":{"openalex":"https://openalex.org/W2914558553","doi":"https://doi.org/10.1109/cdc.2018.8618886","mag":"2914558553"},"language":"en","primary_location":{"id":"doi:10.1109/cdc.2018.8618886","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cdc.2018.8618886","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE Conference on Decision and Control (CDC)","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-245006","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5054242547","display_name":"Matias I. M\u00fcller","orcid":"https://orcid.org/0000-0002-6322-7857"},"institutions":[{"id":"https://openalex.org/I86987016","display_name":"KTH Royal Institute of Technology","ror":"https://ror.org/026vcq606","country_code":"SE","type":"education","lineage":["https://openalex.org/I86987016"]}],"countries":["SE"],"is_corresponding":false,"raw_author_name":"Matias I. Muller","raw_affiliation_strings":["Department of Automatic Control, KTH Royal Institute of Technology, Stockholm, Sweden"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Automatic Control, KTH Royal Institute of Technology, Stockholm, Sweden","institution_ids":["https://openalex.org/I86987016"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5019342055","display_name":"Jezdimir Milo\u0161evi\u0107","orcid":"https://orcid.org/0000-0002-2045-5665"},"institutions":[{"id":"https://openalex.org/I86987016","display_name":"KTH Royal Institute of Technology","ror":"https://ror.org/026vcq606","country_code":"SE","type":"education","lineage":["https://openalex.org/I86987016"]}],"countries":["SE"],"is_corresponding":false,"raw_author_name":"Jezdimir Milosevic","raw_affiliation_strings":["Department of Automatic Control, KTH Royal Institute of Technology, Stockholm, Sweden"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Automatic Control, KTH Royal Institute of Technology, Stockholm, Sweden","institution_ids":["https://openalex.org/I86987016"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5056120878","display_name":"Henrik Sandberg","orcid":"https://orcid.org/0000-0003-1835-2963"},"institutions":[{"id":"https://openalex.org/I86987016","display_name":"KTH Royal Institute of Technology","ror":"https://ror.org/026vcq606","country_code":"SE","type":"education","lineage":["https://openalex.org/I86987016"]}],"countries":["SE"],"is_corresponding":false,"raw_author_name":"Henrik Sandberg","raw_affiliation_strings":["Department of Automatic Control, KTH Royal Institute of Technology, Stockholm, Sweden"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Automatic Control, KTH Royal Institute of Technology, Stockholm, Sweden","institution_ids":["https://openalex.org/I86987016"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5057105677","display_name":"Cristian R. Rojas","orcid":"https://orcid.org/0000-0003-0355-2663"},"institutions":[{"id":"https://openalex.org/I86987016","display_name":"KTH Royal Institute of Technology","ror":"https://ror.org/026vcq606","country_code":"SE","type":"education","lineage":["https://openalex.org/I86987016"]}],"countries":["SE"],"is_corresponding":false,"raw_author_name":"Cristian R. Rojas","raw_affiliation_strings":["Department of Automatic Control, KTH Royal Institute of Technology, Stockholm, Sweden"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Automatic Control, KTH Royal Institute of Technology, Stockholm, Sweden","institution_ids":["https://openalex.org/I86987016"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I86987016"],"apc_list":null,"apc_paid":null,"fwci":1.6047,"has_fulltext":false,"cited_by_count":12,"citation_normalized_percentile":{"value":0.8455259,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"4553","last_page":"4558"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10917","display_name":"Smart Grid Security and Resilience","score":0.9984999895095825,"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/T10917","display_name":"Smart Grid Security and Resilience","score":0.9984999895095825,"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/T11807","display_name":"Infrastructure Resilience and Vulnerability Analysis","score":0.9696000218391418,"subfield":{"id":"https://openalex.org/subfields/2205","display_name":"Civil and Structural 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/T11689","display_name":"Adversarial Robustness in Machine Learning","score":0.9484000205993652,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/cvar","display_name":"CVAR","score":0.9463154673576355},{"id":"https://openalex.org/keywords/covert","display_name":"Covert","score":0.7004779577255249},{"id":"https://openalex.org/keywords/value","display_name":"Value (mathematics)","score":0.500861406326294},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4963250756263733},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.4950031638145447},{"id":"https://openalex.org/keywords/regular-polygon","display_name":"Regular polygon","score":0.47630369663238525},{"id":"https://openalex.org/keywords/control","display_name":"Control (management)","score":0.4757901430130005},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3435649573802948},{"id":"https://openalex.org/keywords/risk-management","display_name":"Risk management","score":0.31159907579421997},{"id":"https://openalex.org/keywords/expected-shortfall","display_name":"Expected shortfall","score":0.28968459367752075},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.1875304877758026},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.11364805698394775}],"concepts":[{"id":"https://openalex.org/C2779922397","wikidata":"https://www.wikidata.org/wiki/Q5014755","display_name":"CVAR","level":4,"score":0.9463154673576355},{"id":"https://openalex.org/C2779338814","wikidata":"https://www.wikidata.org/wiki/Q5179285","display_name":"Covert","level":2,"score":0.7004779577255249},{"id":"https://openalex.org/C2776291640","wikidata":"https://www.wikidata.org/wiki/Q2912517","display_name":"Value (mathematics)","level":2,"score":0.500861406326294},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4963250756263733},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.4950031638145447},{"id":"https://openalex.org/C112680207","wikidata":"https://www.wikidata.org/wiki/Q714886","display_name":"Regular polygon","level":2,"score":0.47630369663238525},{"id":"https://openalex.org/C2775924081","wikidata":"https://www.wikidata.org/wiki/Q55608371","display_name":"Control (management)","level":2,"score":0.4757901430130005},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3435649573802948},{"id":"https://openalex.org/C32896092","wikidata":"https://www.wikidata.org/wiki/Q189447","display_name":"Risk management","level":2,"score":0.31159907579421997},{"id":"https://openalex.org/C5496284","wikidata":"https://www.wikidata.org/wiki/Q5420856","display_name":"Expected shortfall","level":3,"score":0.28968459367752075},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.1875304877758026},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.11364805698394775},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/cdc.2018.8618886","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cdc.2018.8618886","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE Conference on Decision and Control (CDC)","raw_type":"proceedings-article"},{"id":"pmh:oai:DiVA.org:kth-245006","is_oa":true,"landing_page_url":"http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-245006","pdf_url":null,"source":{"id":"https://openalex.org/S4306401559","display_name":"KTH Publication Database DiVA (KTH Royal Institute of Technology)","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":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"info:eu-repo/semantics/conferenceObject"}],"best_oa_location":{"id":"pmh:oai:DiVA.org:kth-245006","is_oa":true,"landing_page_url":"http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-245006","pdf_url":null,"source":{"id":"https://openalex.org/S4306401559","display_name":"KTH Publication Database DiVA (KTH Royal Institute of Technology)","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":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"info:eu-repo/semantics/conferenceObject"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":21,"referenced_works":["https://openalex.org/W174509281","https://openalex.org/W1506954757","https://openalex.org/W1555974209","https://openalex.org/W1557652964","https://openalex.org/W1647779468","https://openalex.org/W1855555568","https://openalex.org/W1972523481","https://openalex.org/W2003530067","https://openalex.org/W2010973666","https://openalex.org/W2062132646","https://openalex.org/W2105773843","https://openalex.org/W2107043025","https://openalex.org/W2109122936","https://openalex.org/W2143842190","https://openalex.org/W2155589794","https://openalex.org/W2484577372","https://openalex.org/W2529094992","https://openalex.org/W2617246254","https://openalex.org/W2766184728","https://openalex.org/W2795413297","https://openalex.org/W6607084398"],"related_works":["https://openalex.org/W2012697561","https://openalex.org/W3122289112","https://openalex.org/W3208862154","https://openalex.org/W2154756406","https://openalex.org/W2391449029","https://openalex.org/W315644267","https://openalex.org/W1904801170","https://openalex.org/W2059611025","https://openalex.org/W3101533691","https://openalex.org/W2767383870"],"abstract_inverted_index":{"We":[0],"consider":[1],"the":[2,8,15,26,32,50,63,88,100,110,116],"control":[3,101],"design":[4,102],"problem":[5,103],"of":[6,10,17,47,54,57,76,118],"optimizing":[7],"H2performance":[9],"a":[11,18,67,91,96],"closed-loop":[12,64],"system":[13],"despite":[14],"presence":[16],"malicious":[19],"covert":[20],"attacker.":[21],"It":[22],"is":[23,70,106],"assumed":[24],"that":[25],"attacker":[27],"has":[28],"incomplete":[29],"knowledge":[30],"on":[31],"true":[33],"process":[34],"we":[35,43,61,94],"are":[36],"controlling.":[37],"To":[38],"account":[39],"for":[40,99],"this":[41],"uncertainty,":[42],"employ":[44],"different":[45,74],"measures":[46,56,75],"risk":[48],"from":[49,90],"so":[51],"called":[52],"family":[53],"coherent":[55],"risk.":[58,111],"In":[59],"particular,":[60],"compare":[62],"performance":[65],"when":[66,104],"nominal":[68],"value":[69],"used,":[71],"with":[72],"three":[73],"risk:":[77],"average":[78],"risk,":[79],"worst-case":[80],"scenario":[81],"and":[82],"conditional":[83],"value-at-risk":[84],"(CVaR).":[85],"Additionally,":[86],"applying":[87],"approach":[89],"previous":[92],"work,":[93],"derive":[95],"convex":[97],"formulation":[98],"CVaR":[105],"employed":[107],"to":[108],"quantify":[109],"A":[112],"numerical":[113],"example":[114],"illustrates":[115],"advantages":[117],"our":[119],"approach.":[120]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":2},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2019-02-21T00:00:00"}