{"id":"https://openalex.org/W4315471916","doi":"https://doi.org/10.1109/cdc51059.2022.9993335","title":"State-Output Risk-Constrained Quadratic Control of Partially Observed Linear Systems","display_name":"State-Output Risk-Constrained Quadratic Control of Partially Observed Linear Systems","publication_year":2022,"publication_date":"2022-12-06","ids":{"openalex":"https://openalex.org/W4315471916","doi":"https://doi.org/10.1109/cdc51059.2022.9993335"},"language":"en","primary_location":{"id":"doi:10.1109/cdc51059.2022.9993335","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/cdc51059.2022.9993335","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":["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/A5044194685","display_name":"Nikolas Koumpis","orcid":"https://orcid.org/0000-0001-9560-7419"},"institutions":[{"id":"https://openalex.org/I32971472","display_name":"Yale University","ror":"https://ror.org/03v76x132","country_code":"US","type":"education","lineage":["https://openalex.org/I32971472"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Nikolas Koumpis","raw_affiliation_strings":["Yale University,Department of Electrical Engineering,New Haven,CT,06511"],"affiliations":[{"raw_affiliation_string":"Yale University,Department of Electrical Engineering,New Haven,CT,06511","institution_ids":["https://openalex.org/I32971472"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5076331779","display_name":"Anastasios Tsiamis","orcid":"https://orcid.org/0000-0002-7935-7541"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Anastasios Tsiamis","raw_affiliation_strings":["ETH Z&#x00FC;rich,Automatic Control Laboratory,Switzerland,8092"],"affiliations":[{"raw_affiliation_string":"ETH Z&#x00FC;rich,Automatic Control Laboratory,Switzerland,8092","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5091493591","display_name":"Dionysios S. Kalogerias","orcid":"https://orcid.org/0000-0002-3459-5044"},"institutions":[{"id":"https://openalex.org/I32971472","display_name":"Yale University","ror":"https://ror.org/03v76x132","country_code":"US","type":"education","lineage":["https://openalex.org/I32971472"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Dionysios Kalogerias","raw_affiliation_strings":["Yale University,Department of Electrical Engineering,New Haven,CT,06511"],"affiliations":[{"raw_affiliation_string":"Yale University,Department of Electrical Engineering,New Haven,CT,06511","institution_ids":["https://openalex.org/I32971472"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5044194685"],"corresponding_institution_ids":["https://openalex.org/I32971472"],"apc_list":null,"apc_paid":null,"fwci":1.0634,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.76966633,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"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/T10791","display_name":"Advanced Control Systems Optimization","score":0.9994999766349792,"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/T10791","display_name":"Advanced Control Systems Optimization","score":0.9994999766349792,"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/T10876","display_name":"Fault Detection and Control Systems","score":0.9986000061035156,"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/T11236","display_name":"Control Systems and Identification","score":0.9977999925613403,"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/covariance","display_name":"Covariance","score":0.6964426040649414},{"id":"https://openalex.org/keywords/control-theory","display_name":"Control theory (sociology)","score":0.6634268760681152},{"id":"https://openalex.org/keywords/linear-system","display_name":"Linear system","score":0.5382525324821472},{"id":"https://openalex.org/keywords/quadratic-equation","display_name":"Quadratic equation","score":0.5347007513046265},{"id":"https://openalex.org/keywords/affine-transformation","display_name":"Affine transformation","score":0.5126723051071167},{"id":"https://openalex.org/keywords/controller","display_name":"Controller (irrigation)","score":0.4647132158279419},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.44540631771087646},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.4311203360557556},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.3968369662761688},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.38937920331954956},{"id":"https://openalex.org/keywords/control","display_name":"Control (management)","score":0.19528484344482422},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.16105714440345764}],"concepts":[{"id":"https://openalex.org/C178650346","wikidata":"https://www.wikidata.org/wiki/Q201984","display_name":"Covariance","level":2,"score":0.6964426040649414},{"id":"https://openalex.org/C47446073","wikidata":"https://www.wikidata.org/wiki/Q5165890","display_name":"Control theory (sociology)","level":3,"score":0.6634268760681152},{"id":"https://openalex.org/C6802819","wikidata":"https://www.wikidata.org/wiki/Q1072174","display_name":"Linear system","level":2,"score":0.5382525324821472},{"id":"https://openalex.org/C129844170","wikidata":"https://www.wikidata.org/wiki/Q41299","display_name":"Quadratic equation","level":2,"score":0.5347007513046265},{"id":"https://openalex.org/C92757383","wikidata":"https://www.wikidata.org/wiki/Q382497","display_name":"Affine transformation","level":2,"score":0.5126723051071167},{"id":"https://openalex.org/C203479927","wikidata":"https://www.wikidata.org/wiki/Q5165939","display_name":"Controller (irrigation)","level":2,"score":0.4647132158279419},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.44540631771087646},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.4311203360557556},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.3968369662761688},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.38937920331954956},{"id":"https://openalex.org/C2775924081","wikidata":"https://www.wikidata.org/wiki/Q55608371","display_name":"Control (management)","level":2,"score":0.19528484344482422},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.16105714440345764},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0},{"id":"https://openalex.org/C6557445","wikidata":"https://www.wikidata.org/wiki/Q173113","display_name":"Agronomy","level":1,"score":0.0},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"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/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","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":1,"locations":[{"id":"doi:10.1109/cdc51059.2022.9993335","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/cdc51059.2022.9993335","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"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":35,"referenced_works":["https://openalex.org/W1647779468","https://openalex.org/W1823979212","https://openalex.org/W1950214537","https://openalex.org/W2001009060","https://openalex.org/W2027591506","https://openalex.org/W2462780152","https://openalex.org/W2561666900","https://openalex.org/W2783782435","https://openalex.org/W2783797945","https://openalex.org/W2795609531","https://openalex.org/W2902505661","https://openalex.org/W2963250023","https://openalex.org/W2963778105","https://openalex.org/W2965585060","https://openalex.org/W2967385712","https://openalex.org/W2972404875","https://openalex.org/W2979251496","https://openalex.org/W3022966133","https://openalex.org/W3104551220","https://openalex.org/W3118666236","https://openalex.org/W3124265655","https://openalex.org/W3132733944","https://openalex.org/W3141118763","https://openalex.org/W3199750493","https://openalex.org/W4236076921","https://openalex.org/W4236670843","https://openalex.org/W4243369158","https://openalex.org/W4252698487","https://openalex.org/W4252937232","https://openalex.org/W4300030381","https://openalex.org/W4309073135","https://openalex.org/W4315471916","https://openalex.org/W6749674171","https://openalex.org/W6754711257","https://openalex.org/W6810302566"],"related_works":["https://openalex.org/W2038416447","https://openalex.org/W2364151838","https://openalex.org/W2066926363","https://openalex.org/W2354159744","https://openalex.org/W2788344745","https://openalex.org/W2030549801","https://openalex.org/W2062336688","https://openalex.org/W2351539857","https://openalex.org/W1566957016","https://openalex.org/W1596181035"],"abstract_inverted_index":{"We":[0],"propose":[1],"a":[2,60,157,224],"methodology":[3],"for":[4],"performing":[5],"risk-averse":[6,87,219],"quadratic":[7],"regulation":[8,35],"of":[9,32,51,63,69,93,122,173,182,196,211,216],"partially":[10],"observed":[11],"Linear":[12,96],"Time-Invariant":[13],"(LTI)":[14],"systems,":[15],"disturbed":[16],"by":[17,54,151],"process":[18,135,175],"and":[19,73,136,141,169,176],"output":[20,137,177],"noise.":[21],"To":[22],"compensate":[23],"against":[24,167],"the":[25,45,56,64,71,74,94,102,112,123,126,134,142,153,165,174,203,217],"induced":[26],"variability":[27],"due":[28],"to":[29,38,48,111],"both":[30,70],"types":[31],"noises,":[33],"state":[34,72,127,154,166],"is":[36,149,186,206,221],"subject":[37],"two":[39],"risk":[40],"constraints.":[41],"The":[42,119,160,214],"latter":[43],"render":[44],"resulting":[46],"controller":[47,205],"be":[49,190],"cautious":[50],"stochastic":[52],"disturbances,":[53],"restricting":[55],"statistical":[57],"variability,":[58],"namely,":[59],"simplified":[61],"version":[62],"cumulative":[65],"expected":[66],"predictive":[67],"variance,":[68],"output.":[75],"It":[76],"turns":[77],"out":[78],"that":[79,89,187,202],"our":[80,183],"proposed":[81,218],"formulation":[82],"results":[83],"in":[84,130,156],"an":[85,106],"optimal":[86,103,184],"policy":[88,104,124,185,220],"preserves":[90],"favorable":[91,180],"characteristics":[92],"classical":[95],"Quadratic":[97],"(LQ)":[98],"control.":[99],"In":[100],"particular,":[101],"has":[105],"affine":[107,162],"structure":[108],"with":[109],"respect":[110],"minimum":[113],"mean":[114],"square":[115],"error":[116],"(mmse)":[117],"estimates.":[118],"linear":[120],"component":[121],"regulates":[125],"more":[128],"strictly":[129],"riskier":[131],"directions,":[132],"where":[133],"noise":[138],"covariance,":[139],"cross-covariance,":[140],"corresponding":[143],"penalties":[144],"are":[145],"simultaneously":[146],"large.":[147],"This":[148],"achieved":[150],"\"inflating\"":[152],"penalty":[155],"systematic":[158],"way.":[159],"additional":[161],"terms":[163],"force":[164],"pure":[168],"cross":[170],"third-order":[171],"statistics":[172],"disturbances.":[178],"Another":[179],"characteristic":[181],"it":[188],"can":[189],"pre-computed":[191],"off-line,":[192],"thus,":[193],"avoiding":[194],"limitations":[195],"prior":[197],"work.":[198],"Stability":[199],"analysis":[200],"shows":[201],"derived":[204],"always":[207],"internally":[208],"stable":[209],"regardless":[210],"parameter":[212],"tuning.":[213],"functionality":[215],"illustrated":[222],"through":[223],"working":[225],"example":[226],"via":[227],"extensive":[228],"numerical":[229],"simulations.":[230]},"counts_by_year":[{"year":2024,"cited_by_count":2},{"year":2022,"cited_by_count":1}],"updated_date":"2025-12-23T23:11:35.936235","created_date":"2025-10-10T00:00:00"}
