{"id":"https://openalex.org/W3118784488","doi":"https://doi.org/10.1109/cdc42340.2020.9303770","title":"Feedback Control of Dynamic Artificial Neural Networks Using Linear Matrix Inequalities","display_name":"Feedback Control of Dynamic Artificial Neural Networks Using Linear Matrix Inequalities","publication_year":2020,"publication_date":"2020-12-14","ids":{"openalex":"https://openalex.org/W3118784488","doi":"https://doi.org/10.1109/cdc42340.2020.9303770","mag":"3118784488"},"language":"en","primary_location":{"id":"doi:10.1109/cdc42340.2020.9303770","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cdc42340.2020.9303770","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 59th IEEE Conference on Decision and Control (CDC)","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/A5045221562","display_name":"\u0391\u03bd\u03b1\u03c3\u03c4\u03b1\u03c3\u03af\u03b1 \u039d\u03b9\u03ba\u03bf\u03bb\u03b1\u03ba\u03bf\u03c0\u03bf\u03cd\u03bb\u03bf\u03c5","orcid":"https://orcid.org/0000-0002-9651-8888"},"institutions":[{"id":"https://openalex.org/I63966007","display_name":"Massachusetts Institute of Technology","ror":"https://ror.org/042nb2s44","country_code":"US","type":"education","lineage":["https://openalex.org/I63966007"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Anastasia Nikolakopoulou","raw_affiliation_strings":["Massachusetts Institute of Technology, Cambridge, MA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Massachusetts Institute of Technology, Cambridge, MA, USA","institution_ids":["https://openalex.org/I63966007"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5058991274","display_name":"Moo Sun Hong","orcid":"https://orcid.org/0000-0003-2274-5030"},"institutions":[{"id":"https://openalex.org/I63966007","display_name":"Massachusetts Institute of Technology","ror":"https://ror.org/042nb2s44","country_code":"US","type":"education","lineage":["https://openalex.org/I63966007"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Moo Sun Hong","raw_affiliation_strings":["Massachusetts Institute of Technology, Cambridge, MA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Massachusetts Institute of Technology, Cambridge, MA, USA","institution_ids":["https://openalex.org/I63966007"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5083684552","display_name":"Richard D. Braatz","orcid":"https://orcid.org/0000-0003-4304-3484"},"institutions":[{"id":"https://openalex.org/I63966007","display_name":"Massachusetts Institute of Technology","ror":"https://ror.org/042nb2s44","country_code":"US","type":"education","lineage":["https://openalex.org/I63966007"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Richard D. Braatz","raw_affiliation_strings":["Massachusetts Institute of Technology, Cambridge, MA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Massachusetts Institute of Technology, Cambridge, MA, USA","institution_ids":["https://openalex.org/I63966007"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I63966007"],"apc_list":null,"apc_paid":null,"fwci":2.0591,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.87903184,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"2210","last_page":"2215"},"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":0.9987000226974487,"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":0.9976000189781189,"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/artificial-neural-network","display_name":"Artificial neural network","score":0.5929059982299805},{"id":"https://openalex.org/keywords/nonlinear-system","display_name":"Nonlinear system","score":0.5601032376289368},{"id":"https://openalex.org/keywords/control-theory","display_name":"Control theory (sociology)","score":0.5546532869338989},{"id":"https://openalex.org/keywords/diagonal-matrix","display_name":"Diagonal matrix","score":0.521388590335846},{"id":"https://openalex.org/keywords/linear-matrix-inequality","display_name":"Linear matrix inequality","score":0.5134897828102112},{"id":"https://openalex.org/keywords/lyapunov-function","display_name":"Lyapunov function","score":0.5117397308349609},{"id":"https://openalex.org/keywords/controller","display_name":"Controller (irrigation)","score":0.4608106315135956},{"id":"https://openalex.org/keywords/matrix","display_name":"Matrix (chemical analysis)","score":0.4494580030441284},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.4478764832019806},{"id":"https://openalex.org/keywords/nonlinear-control","display_name":"Nonlinear control","score":0.4440060257911682},{"id":"https://openalex.org/keywords/norm","display_name":"Norm (philosophy)","score":0.4413430988788605},{"id":"https://openalex.org/keywords/bounded-function","display_name":"Bounded function","score":0.4289102554321289},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4250623285770416},{"id":"https://openalex.org/keywords/diagonal","display_name":"Diagonal","score":0.40906912088394165},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.27759844064712524},{"id":"https://openalex.org/keywords/control","display_name":"Control (management)","score":0.1971336305141449},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.14829260110855103},{"id":"https://openalex.org/keywords/mathematical-analysis","display_name":"Mathematical analysis","score":0.06979897618293762}],"concepts":[{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5929059982299805},{"id":"https://openalex.org/C158622935","wikidata":"https://www.wikidata.org/wiki/Q660848","display_name":"Nonlinear system","level":2,"score":0.5601032376289368},{"id":"https://openalex.org/C47446073","wikidata":"https://www.wikidata.org/wiki/Q5165890","display_name":"Control theory (sociology)","level":3,"score":0.5546532869338989},{"id":"https://openalex.org/C113313756","wikidata":"https://www.wikidata.org/wiki/Q332791","display_name":"Diagonal matrix","level":3,"score":0.521388590335846},{"id":"https://openalex.org/C201829737","wikidata":"https://www.wikidata.org/wiki/Q2022760","display_name":"Linear matrix inequality","level":2,"score":0.5134897828102112},{"id":"https://openalex.org/C60640748","wikidata":"https://www.wikidata.org/wiki/Q2337858","display_name":"Lyapunov function","level":3,"score":0.5117397308349609},{"id":"https://openalex.org/C203479927","wikidata":"https://www.wikidata.org/wiki/Q5165939","display_name":"Controller (irrigation)","level":2,"score":0.4608106315135956},{"id":"https://openalex.org/C106487976","wikidata":"https://www.wikidata.org/wiki/Q685816","display_name":"Matrix (chemical analysis)","level":2,"score":0.4494580030441284},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.4478764832019806},{"id":"https://openalex.org/C91581856","wikidata":"https://www.wikidata.org/wiki/Q2707001","display_name":"Nonlinear control","level":3,"score":0.4440060257911682},{"id":"https://openalex.org/C191795146","wikidata":"https://www.wikidata.org/wiki/Q3878446","display_name":"Norm (philosophy)","level":2,"score":0.4413430988788605},{"id":"https://openalex.org/C34388435","wikidata":"https://www.wikidata.org/wiki/Q2267362","display_name":"Bounded function","level":2,"score":0.4289102554321289},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4250623285770416},{"id":"https://openalex.org/C130367717","wikidata":"https://www.wikidata.org/wiki/Q189791","display_name":"Diagonal","level":2,"score":0.40906912088394165},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.27759844064712524},{"id":"https://openalex.org/C2775924081","wikidata":"https://www.wikidata.org/wiki/Q55608371","display_name":"Control (management)","level":2,"score":0.1971336305141449},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.14829260110855103},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.06979897618293762},{"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/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"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/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","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/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/cdc42340.2020.9303770","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cdc42340.2020.9303770","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 59th IEEE Conference on Decision and Control (CDC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities","score":0.8199999928474426}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":30,"referenced_works":["https://openalex.org/W94566284","https://openalex.org/W1536319756","https://openalex.org/W1540338602","https://openalex.org/W1604822211","https://openalex.org/W1632601927","https://openalex.org/W1971735090","https://openalex.org/W2003889804","https://openalex.org/W2004175622","https://openalex.org/W2005545232","https://openalex.org/W2015156326","https://openalex.org/W2023285936","https://openalex.org/W2036270456","https://openalex.org/W2051493673","https://openalex.org/W2056655352","https://openalex.org/W2058580716","https://openalex.org/W2083450849","https://openalex.org/W2086198846","https://openalex.org/W2089024379","https://openalex.org/W2103496339","https://openalex.org/W2114669221","https://openalex.org/W2127745472","https://openalex.org/W2128084896","https://openalex.org/W2138484437","https://openalex.org/W2156513118","https://openalex.org/W2484646121","https://openalex.org/W2775085403","https://openalex.org/W2798534591","https://openalex.org/W2940460024","https://openalex.org/W2989129687","https://openalex.org/W3210839039"],"related_works":["https://openalex.org/W1529195008","https://openalex.org/W2070323717","https://openalex.org/W3157489721","https://openalex.org/W38983538","https://openalex.org/W2924468784","https://openalex.org/W2034395027","https://openalex.org/W1525824672","https://openalex.org/W2950949038","https://openalex.org/W2022398590","https://openalex.org/W2083635853"],"abstract_inverted_index":{"An":[0],"approach":[1,24,77],"is":[2,59,78],"proposed":[3],"for":[4,10,71,80,88],"the":[5,26,33,41,68,81],"design":[6,82],"of":[7,32,83],"feedback":[8,85],"controllers":[9],"processes":[11],"described":[12],"by":[13],"dynamic":[14],"artificial":[15],"neural":[16],"networks":[17],"(DANNs)":[18],"using":[19,67],"linear":[20,53,62],"matrix":[21,63],"inequalities.":[22],"This":[23],"uses":[25],"fact":[27],"that":[28],"DANNs":[29],"are":[30],"subsets":[31],"standard":[34,45],"nonlinear":[35,46,91],"operator":[36,47],"form.":[37],"We":[38],"then":[39],"reformulate":[40],"DANN":[42],"written":[43],"in":[44],"form":[48],"as":[49],"a":[50,84,89],"diagonal":[51],"norm-bounded":[52],"differential":[54],"inclusion.":[55],"The":[56,76],"latter":[57],"formulation":[58],"applied":[60],"to":[61],"inequality-based":[64],"optimizations":[65],"derived":[66],"Lyapunov":[69],"method":[70],"analysis":[72],"and":[73],"controller":[74],"synthesis.":[75],"demonstrated":[79],"control":[86,93],"system":[87],"highly":[90],"pH":[92],"problem.":[94]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":1},{"year":2012,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
