{"id":"https://openalex.org/W3012429785","doi":"https://doi.org/10.1109/cdc40024.2019.9029855","title":"Robustness Margins for Continuous-time Markov Jump Linear Systems with Uncertain Transition Rates","display_name":"Robustness Margins for Continuous-time Markov Jump Linear Systems with Uncertain Transition Rates","publication_year":2019,"publication_date":"2019-12-01","ids":{"openalex":"https://openalex.org/W3012429785","doi":"https://doi.org/10.1109/cdc40024.2019.9029855","mag":"3012429785"},"language":"en","primary_location":{"id":"doi:10.1109/cdc40024.2019.9029855","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cdc40024.2019.9029855","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE 58th 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/A5023161419","display_name":"Dayana C. dos Santos","orcid":"https://orcid.org/0000-0002-9735-8820"},"institutions":[{"id":"https://openalex.org/I4210142352","display_name":"Laborat\u00f3rio Nacional de Computa\u00e7\u00e3o Cient\u00edfica","ror":"https://ror.org/0498ekt05","country_code":"BR","type":"government","lineage":["https://openalex.org/I4210142352"]}],"countries":["BR"],"is_corresponding":true,"raw_author_name":"Dayana C. dos Santos","raw_affiliation_strings":["National Laboratory for Scientific Computing - LNCC/MCTIC, Rio de Janeiro, Brazil"],"affiliations":[{"raw_affiliation_string":"National Laboratory for Scientific Computing - LNCC/MCTIC, Rio de Janeiro, Brazil","institution_ids":["https://openalex.org/I4210142352"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5010016645","display_name":"Marcos G. Todorov","orcid":"https://orcid.org/0000-0003-4372-2831"},"institutions":[{"id":"https://openalex.org/I4210142352","display_name":"Laborat\u00f3rio Nacional de Computa\u00e7\u00e3o Cient\u00edfica","ror":"https://ror.org/0498ekt05","country_code":"BR","type":"government","lineage":["https://openalex.org/I4210142352"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Marcos G. Todorov","raw_affiliation_strings":["National Laboratory for Scientific Computing - LNCC/MCTIC, Rio de Janeiro, Brazil"],"affiliations":[{"raw_affiliation_string":"National Laboratory for Scientific Computing - LNCC/MCTIC, Rio de Janeiro, Brazil","institution_ids":["https://openalex.org/I4210142352"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5081242243","display_name":"Marcelo D. Fragoso","orcid":"https://orcid.org/0000-0001-6299-6614"},"institutions":[{"id":"https://openalex.org/I4210142352","display_name":"Laborat\u00f3rio Nacional de Computa\u00e7\u00e3o Cient\u00edfica","ror":"https://ror.org/0498ekt05","country_code":"BR","type":"government","lineage":["https://openalex.org/I4210142352"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Marcelo D. Fragoso","raw_affiliation_strings":["National Laboratory for Scientific Computing - LNCC/MCTIC, Rio de Janeiro, Brazil"],"affiliations":[{"raw_affiliation_string":"National Laboratory for Scientific Computing - LNCC/MCTIC, Rio de Janeiro, Brazil","institution_ids":["https://openalex.org/I4210142352"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5023161419"],"corresponding_institution_ids":["https://openalex.org/I4210142352"],"apc_list":null,"apc_paid":null,"fwci":0.1663,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.53489139,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"50","issue":null,"first_page":"4421","last_page":"4426"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10046","display_name":"Stability and Control of Uncertain Systems","score":1.0,"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/T10046","display_name":"Stability and Control of Uncertain Systems","score":1.0,"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":0.9940999746322632,"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":0.98580002784729,"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/robustness","display_name":"Robustness (evolution)","score":0.7800137996673584},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5538430213928223},{"id":"https://openalex.org/keywords/linear-system","display_name":"Linear system","score":0.5391161441802979},{"id":"https://openalex.org/keywords/markov-chain","display_name":"Markov chain","score":0.4852302074432373},{"id":"https://openalex.org/keywords/transition-rate-matrix","display_name":"Transition rate matrix","score":0.47969695925712585},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.45871925354003906},{"id":"https://openalex.org/keywords/control-theory","display_name":"Control theory (sociology)","score":0.4528322219848633},{"id":"https://openalex.org/keywords/linear-matrix-inequality","display_name":"Linear matrix inequality","score":0.44690483808517456},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.32754772901535034},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.10725593566894531},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.08566507697105408},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.08227014541625977}],"concepts":[{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.7800137996673584},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5538430213928223},{"id":"https://openalex.org/C6802819","wikidata":"https://www.wikidata.org/wiki/Q1072174","display_name":"Linear system","level":2,"score":0.5391161441802979},{"id":"https://openalex.org/C98763669","wikidata":"https://www.wikidata.org/wiki/Q176645","display_name":"Markov chain","level":2,"score":0.4852302074432373},{"id":"https://openalex.org/C70557757","wikidata":"https://www.wikidata.org/wiki/Q7834432","display_name":"Transition rate matrix","level":2,"score":0.47969695925712585},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.45871925354003906},{"id":"https://openalex.org/C47446073","wikidata":"https://www.wikidata.org/wiki/Q5165890","display_name":"Control theory (sociology)","level":3,"score":0.4528322219848633},{"id":"https://openalex.org/C201829737","wikidata":"https://www.wikidata.org/wiki/Q2022760","display_name":"Linear matrix inequality","level":2,"score":0.44690483808517456},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.32754772901535034},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.10725593566894531},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.08566507697105408},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.08227014541625977},{"id":"https://openalex.org/C2775924081","wikidata":"https://www.wikidata.org/wiki/Q55608371","display_name":"Control (management)","level":2,"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/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/cdc40024.2019.9029855","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cdc40024.2019.9029855","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE 58th Conference on Decision and Control (CDC)","raw_type":"proceedings-article"}],"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/W56139714","https://openalex.org/W613462629","https://openalex.org/W1488435683","https://openalex.org/W1489051611","https://openalex.org/W1496533062","https://openalex.org/W1530564675","https://openalex.org/W1941715926","https://openalex.org/W1967529643","https://openalex.org/W1980385687","https://openalex.org/W2020857459","https://openalex.org/W2023038772","https://openalex.org/W2023078034","https://openalex.org/W2043458914","https://openalex.org/W2073379063","https://openalex.org/W2083699100","https://openalex.org/W2092202825","https://openalex.org/W2103262285","https://openalex.org/W2106812200","https://openalex.org/W2107095367","https://openalex.org/W2125228354","https://openalex.org/W2140902856","https://openalex.org/W2164394936","https://openalex.org/W2171318649","https://openalex.org/W2237081380","https://openalex.org/W2286211338","https://openalex.org/W2417303548","https://openalex.org/W6629202840"],"related_works":["https://openalex.org/W2770593030","https://openalex.org/W2336740323","https://openalex.org/W2127370188","https://openalex.org/W2913706603","https://openalex.org/W4297580236","https://openalex.org/W2015136492","https://openalex.org/W2159877461","https://openalex.org/W1582091313","https://openalex.org/W2903257571","https://openalex.org/W3210046587"],"abstract_inverted_index":{"In":[0],"this":[1,55],"paper":[2],"we":[3],"introduce":[4],"new":[5],"robustness":[6,25,74],"margins":[7,75],"for":[8],"continuous-time":[9],"Markov":[10],"jump":[11],"linear":[12,61],"systems":[13],"(MJLS)":[14],"with":[15,26],"uncertain":[16],"transition":[17,29],"rates.":[18],"Our":[19],"approach":[20,141],"is":[21,57],"able":[22],"to":[23,28,45,59,107,120],"ensure":[24],"respect":[27],"rate":[30],"uncertainties":[31],"that":[32,76,126],"satisfy":[33],"a":[34,38,60],"spectral":[35],"norm":[36],"bound,":[37],"setup":[39],"where":[40],"no":[41],"previous":[42],"studies":[43],"seem":[44],"exist":[46],"in":[47,52,132],"the":[48,53,111,114,124,148],"literature.":[49,149],"As":[50],"shown":[51],"paper,":[54],"paradigm":[56],"amenable":[58,119],"time-invariant":[62],"description,":[63],"and":[64,86,101],"therefore":[65],"classical":[66],"disturbance":[67],"attenuation":[68],"techniques":[69],"can":[70,128,142],"be":[71,129],"employed.":[72],"The":[73],"constitute":[77],"our":[78,140],"main":[79],"results":[80,109,146],"(based":[81],"on":[82],"mean":[83,87],"square":[84],"stability":[85,88],"notions)":[89],"are":[90],"characterized":[91],"by":[92],"LMIs":[93],"(linear":[94],"matrix":[95],"inequalities).":[96],"They":[97],"include":[98],"both":[99],"analysis":[100],"synthesis":[102],"methods":[103],"that,":[104],"when":[105],"compared":[106],"other":[108],"from":[110,147],"literature,":[112],"have":[113],"favorable":[115],"feature":[116],"of":[117],"being":[118],"convex":[121],"optimization":[122],"(in":[123],"sense":[125],"they":[127],"efficiently":[130],"maximized":[131],"computer":[133],"implementations).":[134],"Two":[135],"numerical":[136],"examples":[137],"show":[138],"how":[139],"outperform":[143],"some":[144],"existing":[145]},"counts_by_year":[{"year":2022,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}