{"id":"https://openalex.org/W2735493469","doi":"https://doi.org/10.23919/acc.2017.7963626","title":"Co-design of sparse output feedback and row/column-sparse output matrix","display_name":"Co-design of sparse output feedback and row/column-sparse output matrix","publication_year":2017,"publication_date":"2017-05-01","ids":{"openalex":"https://openalex.org/W2735493469","doi":"https://doi.org/10.23919/acc.2017.7963626","mag":"2735493469"},"language":"en","primary_location":{"id":"doi:10.23919/acc.2017.7963626","is_oa":false,"landing_page_url":"https://doi.org/10.23919/acc.2017.7963626","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 American Control Conference (ACC)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5055236645","display_name":"Lin Fu","orcid":"https://orcid.org/0000-0001-8979-8415"},"institutions":[{"id":"https://openalex.org/I4401726811","display_name":"Hartford Financial Services (United States)","ror":"https://ror.org/00mwq1g96","country_code":null,"type":"company","lineage":["https://openalex.org/I4401726811"]}],"countries":[],"is_corresponding":false,"raw_author_name":"Fu Lin","raw_affiliation_strings":["Systems Department, United Technologies Research Center, East Hartford, CT"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Systems Department, United Technologies Research Center, East Hartford, CT","institution_ids":["https://openalex.org/I4401726811"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5021807405","display_name":"Veronica Adetola","orcid":null},"institutions":[{"id":"https://openalex.org/I4401726811","display_name":"Hartford Financial Services (United States)","ror":"https://ror.org/00mwq1g96","country_code":null,"type":"company","lineage":["https://openalex.org/I4401726811"]}],"countries":[],"is_corresponding":false,"raw_author_name":"Veronica Adetola","raw_affiliation_strings":["Systems Department, United Technologies Research Center, East Hartford, CT"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Systems Department, United Technologies Research Center, East Hartford, CT","institution_ids":["https://openalex.org/I4401726811"]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I4401726811"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":9,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"4359","last_page":"4364"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10792","display_name":"Matrix Theory and Algorithms","score":0.9980999827384949,"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":0.9980999827384949,"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/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.9973999857902527,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"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/T10545","display_name":"Optimization and Variational Analysis","score":0.9973999857902527,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/cardinality","display_name":"Cardinality (data modeling)","score":0.6884545087814331},{"id":"https://openalex.org/keywords/sparse-matrix","display_name":"Sparse matrix","score":0.6796036958694458},{"id":"https://openalex.org/keywords/matrix","display_name":"Matrix (chemical analysis)","score":0.6454132795333862},{"id":"https://openalex.org/keywords/convergence","display_name":"Convergence (economics)","score":0.6252110600471497},{"id":"https://openalex.org/keywords/column","display_name":"Column (typography)","score":0.6003837585449219},{"id":"https://openalex.org/keywords/output-feedback","display_name":"Output feedback","score":0.5650591850280762},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.5344931483268738},{"id":"https://openalex.org/keywords/linearization","display_name":"Linearization","score":0.5256984233856201},{"id":"https://openalex.org/keywords/constraint","display_name":"Constraint (computer-aided design)","score":0.5169150829315186},{"id":"https://openalex.org/keywords/lipschitz-continuity","display_name":"Lipschitz continuity","score":0.5106220841407776},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.46720167994499207},{"id":"https://openalex.org/keywords/row-and-column-spaces","display_name":"Row and column spaces","score":0.43913209438323975},{"id":"https://openalex.org/keywords/control-theory","display_name":"Control theory (sociology)","score":0.35148781538009644},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.3012765347957611},{"id":"https://openalex.org/keywords/control","display_name":"Control (management)","score":0.17567601799964905},{"id":"https://openalex.org/keywords/row","display_name":"Row","score":0.13368302583694458},{"id":"https://openalex.org/keywords/nonlinear-system","display_name":"Nonlinear system","score":0.10628712177276611},{"id":"https://openalex.org/keywords/mathematical-analysis","display_name":"Mathematical analysis","score":0.07189378142356873}],"concepts":[{"id":"https://openalex.org/C87117476","wikidata":"https://www.wikidata.org/wiki/Q362383","display_name":"Cardinality (data modeling)","level":2,"score":0.6884545087814331},{"id":"https://openalex.org/C56372850","wikidata":"https://www.wikidata.org/wiki/Q1050404","display_name":"Sparse matrix","level":3,"score":0.6796036958694458},{"id":"https://openalex.org/C106487976","wikidata":"https://www.wikidata.org/wiki/Q685816","display_name":"Matrix (chemical analysis)","level":2,"score":0.6454132795333862},{"id":"https://openalex.org/C2777303404","wikidata":"https://www.wikidata.org/wiki/Q759757","display_name":"Convergence (economics)","level":2,"score":0.6252110600471497},{"id":"https://openalex.org/C2780551164","wikidata":"https://www.wikidata.org/wiki/Q2306599","display_name":"Column (typography)","level":3,"score":0.6003837585449219},{"id":"https://openalex.org/C3018623182","wikidata":"https://www.wikidata.org/wiki/Q154021","display_name":"Output feedback","level":3,"score":0.5650591850280762},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.5344931483268738},{"id":"https://openalex.org/C11210021","wikidata":"https://www.wikidata.org/wiki/Q1520713","display_name":"Linearization","level":3,"score":0.5256984233856201},{"id":"https://openalex.org/C2776036281","wikidata":"https://www.wikidata.org/wiki/Q48769818","display_name":"Constraint (computer-aided design)","level":2,"score":0.5169150829315186},{"id":"https://openalex.org/C22324862","wikidata":"https://www.wikidata.org/wiki/Q652707","display_name":"Lipschitz continuity","level":2,"score":0.5106220841407776},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.46720167994499207},{"id":"https://openalex.org/C104140500","wikidata":"https://www.wikidata.org/wiki/Q2088159","display_name":"Row and column spaces","level":3,"score":0.43913209438323975},{"id":"https://openalex.org/C47446073","wikidata":"https://www.wikidata.org/wiki/Q5165890","display_name":"Control theory (sociology)","level":3,"score":0.35148781538009644},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.3012765347957611},{"id":"https://openalex.org/C2775924081","wikidata":"https://www.wikidata.org/wiki/Q55608371","display_name":"Control (management)","level":2,"score":0.17567601799964905},{"id":"https://openalex.org/C135598885","wikidata":"https://www.wikidata.org/wiki/Q1366302","display_name":"Row","level":2,"score":0.13368302583694458},{"id":"https://openalex.org/C158622935","wikidata":"https://www.wikidata.org/wiki/Q660848","display_name":"Nonlinear system","level":2,"score":0.10628712177276611},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.07189378142356873},{"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/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.0},{"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/C13355873","wikidata":"https://www.wikidata.org/wiki/Q2920850","display_name":"Connection (principal bundle)","level":2,"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/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","level":1,"score":0.0},{"id":"https://openalex.org/C50522688","wikidata":"https://www.wikidata.org/wiki/Q189833","display_name":"Economic growth","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},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.0},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.23919/acc.2017.7963626","is_oa":false,"landing_page_url":"https://doi.org/10.23919/acc.2017.7963626","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 American Control Conference (ACC)","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":20,"referenced_works":["https://openalex.org/W1621047323","https://openalex.org/W1754974459","https://openalex.org/W1773029227","https://openalex.org/W1967138577","https://openalex.org/W1969729070","https://openalex.org/W1980183459","https://openalex.org/W2020510967","https://openalex.org/W2027982384","https://openalex.org/W2038050379","https://openalex.org/W2045853107","https://openalex.org/W2053627353","https://openalex.org/W2061378078","https://openalex.org/W2074132271","https://openalex.org/W2077335678","https://openalex.org/W2090360864","https://openalex.org/W2098523806","https://openalex.org/W2105770188","https://openalex.org/W2403559170","https://openalex.org/W3101538765","https://openalex.org/W3102961917"],"related_works":["https://openalex.org/W3185235544","https://openalex.org/W4297791327","https://openalex.org/W2897842840","https://openalex.org/W2911623553","https://openalex.org/W2397777611","https://openalex.org/W2146369775","https://openalex.org/W4388581352","https://openalex.org/W1966476169","https://openalex.org/W1533938001","https://openalex.org/W2100452915"],"abstract_inverted_index":{"We":[0,27,60],"consider":[1],"the":[2,32,36,40,54,62,69,73,78,91,96],"co-design":[3],"problem":[4,50],"of":[5,23,65,72,98],"sparse":[6],"output":[7,11,17,33,41],"feedback":[8,42],"and":[9,35,94],"row/column-sparse":[10],"matrix.":[12],"A":[13],"row-sparse":[14],"(resp.":[15,25],"column-sparse)":[16],"matrix":[18,34,75],"implies":[19],"a":[20],"small":[21],"number":[22],"outputs":[24],"sensors).":[26],"impose":[28],"row/column-cardinality":[29],"constraint":[30,38],"on":[31,39],"cardinality":[37],"gain.":[43],"The":[44],"resulting":[45],"nonconvex,":[46],"nonsmooth":[47],"optimal":[48],"control":[49],"is":[51],"solved":[52],"by":[53,67],"proximal":[55,79],"alternating":[56],"linearization":[57],"method":[58],"(PALM).":[59],"show":[61],"global":[63],"convergence":[64,92],"PALM":[66],"establishing":[68],"Lipschitz":[70],"conditions":[71],"bilinear":[74],"function.":[76],"Furthermore,":[77],"operators":[80],"for":[81],"sparsity":[82],"constraints":[83],"therein":[84],"admit":[85],"closed-form":[86],"expressions.":[87],"Numerical":[88],"experiments":[89],"verify":[90],"results":[93],"demonstrate":[95],"effectiveness":[97],"our":[99],"approach.":[100]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2019,"cited_by_count":5},{"year":2017,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}