{"id":"https://openalex.org/W2475628427","doi":"https://doi.org/10.1109/icca.2016.7505286","title":"Generalized diagonal stability of complex interval matrices relative to H\u00f6lder norms","display_name":"Generalized diagonal stability of complex interval matrices relative to H\u00f6lder norms","publication_year":2016,"publication_date":"2016-06-01","ids":{"openalex":"https://openalex.org/W2475628427","doi":"https://doi.org/10.1109/icca.2016.7505286","mag":"2475628427"},"language":"en","primary_location":{"id":"doi:10.1109/icca.2016.7505286","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icca.2016.7505286","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 12th IEEE International Conference on Control and Automation (ICCA)","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/A5047111551","display_name":"Mihaela-Hanako Matcovschi","orcid":"https://orcid.org/0000-0001-6141-2031"},"institutions":[{"id":"https://openalex.org/I4210108695","display_name":"Gheorghe Asachi Technical University of Ia\u0219i","ror":"https://ror.org/014zxnz40","country_code":"RO","type":"education","lineage":["https://openalex.org/I4210108695"]}],"countries":["RO"],"is_corresponding":false,"raw_author_name":"Mihaela-Hanako Matcovschi","raw_affiliation_strings":["Department of Automatic Control and Applied Informatics, \u201cGheorghe Asachi\u201d Technical University of Iasi, Iasi, Romania","Department of Automatic Control and Applied Informatics, \"Gheorghe Asachi\" Technical University of Iasi, Iasi, Romania"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Automatic Control and Applied Informatics, \u201cGheorghe Asachi\u201d Technical University of Iasi, Iasi, Romania","institution_ids":["https://openalex.org/I4210108695"]},{"raw_affiliation_string":"Department of Automatic Control and Applied Informatics, \"Gheorghe Asachi\" Technical University of Iasi, Iasi, Romania","institution_ids":["https://openalex.org/I4210108695"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5034190618","display_name":"Octavian P\u0103str\u0103vanu","orcid":"https://orcid.org/0000-0001-7607-8646"},"institutions":[{"id":"https://openalex.org/I4210108695","display_name":"Gheorghe Asachi Technical University of Ia\u0219i","ror":"https://ror.org/014zxnz40","country_code":"RO","type":"education","lineage":["https://openalex.org/I4210108695"]}],"countries":["RO"],"is_corresponding":false,"raw_author_name":"Octavian Pastravanu","raw_affiliation_strings":["Department of Automatic Control and Applied Informatics, \u201cGheorghe Asachi\u201d Technical University of Iasi, Iasi, Romania","Department of Automatic Control and Applied Informatics, \"Gheorghe Asachi\" Technical University of Iasi, Iasi, Romania"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Automatic Control and Applied Informatics, \u201cGheorghe Asachi\u201d Technical University of Iasi, Iasi, Romania","institution_ids":["https://openalex.org/I4210108695"]},{"raw_affiliation_string":"Department of Automatic Control and Applied Informatics, \"Gheorghe Asachi\" Technical University of Iasi, Iasi, Romania","institution_ids":["https://openalex.org/I4210108695"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.07613229,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"260","last_page":"265"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10792","display_name":"Matrix Theory and Algorithms","score":0.9995999932289124,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"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/T10792","display_name":"Matrix Theory and Algorithms","score":0.9995999932289124,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"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/T10046","display_name":"Stability and Control of Uncertain Systems","score":0.9988999962806702,"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/T10963","display_name":"Advanced Optimization Algorithms Research","score":0.9883999824523926,"subfield":{"id":"https://openalex.org/subfields/2612","display_name":"Numerical Analysis"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/diagonal","display_name":"Diagonal","score":0.7555656433105469},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.6698960661888123},{"id":"https://openalex.org/keywords/norm","display_name":"Norm (philosophy)","score":0.5495513677597046},{"id":"https://openalex.org/keywords/matrix","display_name":"Matrix (chemical analysis)","score":0.5338056683540344},{"id":"https://openalex.org/keywords/stability","display_name":"Stability (learning theory)","score":0.5095579624176025},{"id":"https://openalex.org/keywords/matrix-norm","display_name":"Matrix norm","score":0.5086485147476196},{"id":"https://openalex.org/keywords/complex-matrix","display_name":"Complex matrix","score":0.5081160068511963},{"id":"https://openalex.org/keywords/interval","display_name":"Interval (graph theory)","score":0.4900120794773102},{"id":"https://openalex.org/keywords/quadratic-equation","display_name":"Quadratic equation","score":0.47882845997810364},{"id":"https://openalex.org/keywords/diagonal-matrix","display_name":"Diagonal matrix","score":0.44192489981651306},{"id":"https://openalex.org/keywords/combinatorics","display_name":"Combinatorics","score":0.42812877893447876},{"id":"https://openalex.org/keywords/moore\u2013penrose-pseudoinverse","display_name":"Moore\u2013Penrose pseudoinverse","score":0.4111041724681854},{"id":"https://openalex.org/keywords/pure-mathematics","display_name":"Pure mathematics","score":0.36087939143180847},{"id":"https://openalex.org/keywords/discrete-mathematics","display_name":"Discrete mathematics","score":0.3389836847782135},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.1572653353214264},{"id":"https://openalex.org/keywords/geometry","display_name":"Geometry","score":0.06891658902168274},{"id":"https://openalex.org/keywords/eigenvalues-and-eigenvectors","display_name":"Eigenvalues and eigenvectors","score":0.05918705463409424},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.057276368141174316},{"id":"https://openalex.org/keywords/inverse","display_name":"Inverse","score":0.055275529623031616}],"concepts":[{"id":"https://openalex.org/C130367717","wikidata":"https://www.wikidata.org/wiki/Q189791","display_name":"Diagonal","level":2,"score":0.7555656433105469},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.6698960661888123},{"id":"https://openalex.org/C191795146","wikidata":"https://www.wikidata.org/wiki/Q3878446","display_name":"Norm (philosophy)","level":2,"score":0.5495513677597046},{"id":"https://openalex.org/C106487976","wikidata":"https://www.wikidata.org/wiki/Q685816","display_name":"Matrix (chemical analysis)","level":2,"score":0.5338056683540344},{"id":"https://openalex.org/C112972136","wikidata":"https://www.wikidata.org/wiki/Q7595718","display_name":"Stability (learning theory)","level":2,"score":0.5095579624176025},{"id":"https://openalex.org/C92207270","wikidata":"https://www.wikidata.org/wiki/Q939253","display_name":"Matrix norm","level":3,"score":0.5086485147476196},{"id":"https://openalex.org/C2988629283","wikidata":"https://www.wikidata.org/wiki/Q44337","display_name":"Complex matrix","level":2,"score":0.5081160068511963},{"id":"https://openalex.org/C2778067643","wikidata":"https://www.wikidata.org/wiki/Q166507","display_name":"Interval (graph theory)","level":2,"score":0.4900120794773102},{"id":"https://openalex.org/C129844170","wikidata":"https://www.wikidata.org/wiki/Q41299","display_name":"Quadratic equation","level":2,"score":0.47882845997810364},{"id":"https://openalex.org/C113313756","wikidata":"https://www.wikidata.org/wiki/Q332791","display_name":"Diagonal matrix","level":3,"score":0.44192489981651306},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.42812877893447876},{"id":"https://openalex.org/C21556879","wikidata":"https://www.wikidata.org/wiki/Q43219517","display_name":"Moore\u2013Penrose pseudoinverse","level":3,"score":0.4111041724681854},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.36087939143180847},{"id":"https://openalex.org/C118615104","wikidata":"https://www.wikidata.org/wiki/Q121416","display_name":"Discrete mathematics","level":1,"score":0.3389836847782135},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.1572653353214264},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.06891658902168274},{"id":"https://openalex.org/C158693339","wikidata":"https://www.wikidata.org/wiki/Q190524","display_name":"Eigenvalues and eigenvectors","level":2,"score":0.05918705463409424},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.057276368141174316},{"id":"https://openalex.org/C207467116","wikidata":"https://www.wikidata.org/wiki/Q4385666","display_name":"Inverse","level":2,"score":0.055275529623031616},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","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/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C43617362","wikidata":"https://www.wikidata.org/wiki/Q170050","display_name":"Chromatography","level":1,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","level":1,"score":0.0},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icca.2016.7505286","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icca.2016.7505286","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 12th IEEE International Conference on Control and Automation (ICCA)","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":12,"referenced_works":["https://openalex.org/W391578156","https://openalex.org/W1982129190","https://openalex.org/W1995091508","https://openalex.org/W2004546183","https://openalex.org/W2007732859","https://openalex.org/W2012856823","https://openalex.org/W2037524459","https://openalex.org/W2061457506","https://openalex.org/W2067441252","https://openalex.org/W2081519448","https://openalex.org/W2089801012","https://openalex.org/W4240790602"],"related_works":["https://openalex.org/W2950633070","https://openalex.org/W4289376593","https://openalex.org/W1529195008","https://openalex.org/W2653474537","https://openalex.org/W2034395027","https://openalex.org/W2028994362","https://openalex.org/W38983538","https://openalex.org/W2924468784","https://openalex.org/W2900534014","https://openalex.org/W2034598826"],"abstract_inverted_index":{"The":[0,73,109],"Schur,":[1],"respectively":[2,25,44,87,118],"Hurwitz,":[3],"diagonal":[4,103,131],"stability":[5,68,132],"of":[6,31,46,66,69,76,100,163],"a":[7,14,32,80],"complex":[8,70],"interval":[9,48,71],"matrix":[10,33],"C":[11],"relative":[12],"to":[13],"H\u00f6lder":[15],"p-norm,":[16],"1":[17,91],"\u2264":[18,20,92,94],"p":[19,60,93,121],"\u221e,":[21,95],"abbreviated":[22],"as":[23],"SDSp,":[24,43,86,117],"HDSp,":[26,45,88,119],"is":[27],"defined":[28],"in":[29,145],"terms":[30],"inequality":[34],"using":[35],"the":[36,42,53,63,77,98,107,130,136,138,154,160],"respective":[37],"norm.":[38],"This":[39],"approach":[40],"generalizes":[41],"real":[47],"matrices":[49,104,128],"previously":[50],"studied":[51],"by":[52,106],"same":[54],"authors;":[55],"it":[56],"also":[57],"incorporates,":[58],"for":[59,90,120,148,152],"=":[61],"2,":[62],"standard":[64],"concept":[65],"quadratic":[67],"matrices.":[72],"first":[74],"part":[75,111],"paper":[78],"founds":[79],"qualitative-analysis":[81],"framework":[82],"that":[83,115],"offers":[84],"three":[85],"criteria":[89],"and":[96,125,140,151],"investigates":[97],"existence":[99],"positive":[101],"definite":[102],"required":[105],"definition.":[108,133],"second":[110],"develops":[112],"computational":[113],"methods":[114],"test":[116],"\u03f5":[122],"{1,2,":[123],"\u221e}":[124],"provide":[126],"concrete":[127],"satisfying":[129],"All":[134],"through":[135],"paper,":[137],"Schur":[139],"Hurwitz":[141],"cases":[142],"are":[143],"addressed":[144],"parallel,":[146],"both":[147],"concision":[149],"reasons":[150],"outlining":[153],"similarities.":[155],"A":[156],"relevant":[157],"example":[158],"illustrates":[159],"key":[161],"elements":[162],"our":[164],"results.":[165]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}