{"id":"https://openalex.org/W2969059352","doi":"https://doi.org/10.1109/med.2019.8798519","title":"Learning virtual sensors for estimating the scheduling signal of parameter-varying systems","display_name":"Learning virtual sensors for estimating the scheduling signal of parameter-varying systems","publication_year":2019,"publication_date":"2019-07-01","ids":{"openalex":"https://openalex.org/W2969059352","doi":"https://doi.org/10.1109/med.2019.8798519","mag":"2969059352"},"language":"en","primary_location":{"id":"doi:10.1109/med.2019.8798519","is_oa":false,"landing_page_url":"https://doi.org/10.1109/med.2019.8798519","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 27th Mediterranean Conference on Control and Automation (MED)","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/A5063494900","display_name":"Daniele Masti","orcid":"https://orcid.org/0000-0002-2889-2309"},"institutions":[{"id":"https://openalex.org/I127077003","display_name":"IMT School for Advanced Studies Lucca","ror":"https://ror.org/035gh3a49","country_code":"IT","type":"education","lineage":["https://openalex.org/I127077003"]}],"countries":["IT"],"is_corresponding":true,"raw_author_name":"Daniele Masti","raw_affiliation_strings":["IMT School for Advanced Studies, Lucca, Italy"],"affiliations":[{"raw_affiliation_string":"IMT School for Advanced Studies, Lucca, Italy","institution_ids":["https://openalex.org/I127077003"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5001841167","display_name":"Daniele Bernardini","orcid":"https://orcid.org/0000-0001-9531-2688"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Daniele Bernardini","raw_affiliation_strings":["ODYS S.r.l., Italy"],"affiliations":[{"raw_affiliation_string":"ODYS S.r.l., Italy","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5053340099","display_name":"Alberto Bemporad","orcid":"https://orcid.org/0000-0001-6761-0856"},"institutions":[{"id":"https://openalex.org/I127077003","display_name":"IMT School for Advanced Studies Lucca","ror":"https://ror.org/035gh3a49","country_code":"IT","type":"education","lineage":["https://openalex.org/I127077003"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Alberto Bemporad","raw_affiliation_strings":["IMT School for Advanced Studies, Lucca, Italy"],"affiliations":[{"raw_affiliation_string":"IMT School for Advanced Studies, Lucca, Italy","institution_ids":["https://openalex.org/I127077003"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5063494900"],"corresponding_institution_ids":["https://openalex.org/I127077003"],"apc_list":null,"apc_paid":null,"fwci":0.3326,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.58364533,"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":"232","last_page":"237"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10876","display_name":"Fault Detection and Control Systems","score":0.9998999834060669,"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/T10876","display_name":"Fault Detection and Control Systems","score":0.9998999834060669,"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/T10791","display_name":"Advanced Control Systems Optimization","score":0.998199999332428,"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":0.9976999759674072,"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/computer-science","display_name":"Computer science","score":0.6901475191116333},{"id":"https://openalex.org/keywords/fault-detection-and-isolation","display_name":"Fault detection and isolation","score":0.649191677570343},{"id":"https://openalex.org/keywords/scheduling","display_name":"Scheduling (production processes)","score":0.6028623580932617},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5059890151023865},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.4887120723724365},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.4851032495498657},{"id":"https://openalex.org/keywords/signal-processing","display_name":"Signal processing","score":0.43578943610191345},{"id":"https://openalex.org/keywords/gain-scheduling","display_name":"Gain scheduling","score":0.42322638630867004},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3085671663284302},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.21427014470100403},{"id":"https://openalex.org/keywords/control","display_name":"Control (management)","score":0.182167649269104},{"id":"https://openalex.org/keywords/actuator","display_name":"Actuator","score":0.17105862498283386},{"id":"https://openalex.org/keywords/computer-hardware","display_name":"Computer hardware","score":0.16935300827026367},{"id":"https://openalex.org/keywords/digital-signal-processing","display_name":"Digital signal processing","score":0.14436569809913635}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6901475191116333},{"id":"https://openalex.org/C152745839","wikidata":"https://www.wikidata.org/wiki/Q5438153","display_name":"Fault detection and isolation","level":3,"score":0.649191677570343},{"id":"https://openalex.org/C206729178","wikidata":"https://www.wikidata.org/wiki/Q2271896","display_name":"Scheduling (production processes)","level":2,"score":0.6028623580932617},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5059890151023865},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.4887120723724365},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.4851032495498657},{"id":"https://openalex.org/C104267543","wikidata":"https://www.wikidata.org/wiki/Q208163","display_name":"Signal processing","level":3,"score":0.43578943610191345},{"id":"https://openalex.org/C97090092","wikidata":"https://www.wikidata.org/wiki/Q764612","display_name":"Gain scheduling","level":3,"score":0.42322638630867004},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3085671663284302},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.21427014470100403},{"id":"https://openalex.org/C2775924081","wikidata":"https://www.wikidata.org/wiki/Q55608371","display_name":"Control (management)","level":2,"score":0.182167649269104},{"id":"https://openalex.org/C172707124","wikidata":"https://www.wikidata.org/wiki/Q423488","display_name":"Actuator","level":2,"score":0.17105862498283386},{"id":"https://openalex.org/C9390403","wikidata":"https://www.wikidata.org/wiki/Q3966","display_name":"Computer hardware","level":1,"score":0.16935300827026367},{"id":"https://openalex.org/C84462506","wikidata":"https://www.wikidata.org/wiki/Q173142","display_name":"Digital signal processing","level":2,"score":0.14436569809913635},{"id":"https://openalex.org/C21547014","wikidata":"https://www.wikidata.org/wiki/Q1423657","display_name":"Operations management","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/med.2019.8798519","is_oa":false,"landing_page_url":"https://doi.org/10.1109/med.2019.8798519","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 27th Mediterranean Conference on Control and Automation (MED)","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":28,"referenced_works":["https://openalex.org/W99537330","https://openalex.org/W129612218","https://openalex.org/W608268716","https://openalex.org/W984434063","https://openalex.org/W1480376833","https://openalex.org/W1483299780","https://openalex.org/W1552094772","https://openalex.org/W1665214252","https://openalex.org/W1965324089","https://openalex.org/W1993367903","https://openalex.org/W2038730444","https://openalex.org/W2055761669","https://openalex.org/W2097009900","https://openalex.org/W2097712401","https://openalex.org/W2105708535","https://openalex.org/W2126067690","https://openalex.org/W2143326070","https://openalex.org/W2460144244","https://openalex.org/W2504218592","https://openalex.org/W2511918263","https://openalex.org/W2780439059","https://openalex.org/W2810195925","https://openalex.org/W2896830695","https://openalex.org/W2912350243","https://openalex.org/W2964302742","https://openalex.org/W2968192014","https://openalex.org/W4285719527","https://openalex.org/W6637242042"],"related_works":["https://openalex.org/W2371494008","https://openalex.org/W2331721255","https://openalex.org/W2148574262","https://openalex.org/W2333083806","https://openalex.org/W2380671226","https://openalex.org/W2713393793","https://openalex.org/W86946229","https://openalex.org/W3009843762","https://openalex.org/W134516648","https://openalex.org/W2054360660"],"abstract_inverted_index":{"We":[0],"propose":[1],"a":[2,15,46,90],"novel":[3],"data-driven":[4],"virtual":[5,79,95],"sensor":[6,80,96],"architecture":[7,70],"to":[8,25,55,67],"reconstruct":[9],"an":[10,29],"unmeasurable":[11],"scheduling":[12],"signal":[13],"of":[14,48,58,104,109],"parameter-varying":[16],"system":[17],"from":[18],"input/output":[19,35],"measurements.":[20],"The":[21],"key":[22],"idea":[23],"is":[24,53],"train":[26],"and":[27,37,62,118,122],"feed":[28],"Artificial":[30],"Neural":[31],"Network":[32],"(ANN)":[33],"with":[34,38],"measurements":[36,44],"data":[39],"generated":[40],"by":[41],"processing":[42],"such":[43],"through":[45],"bank":[47],"linear":[49,106],"observers.":[50],"Special":[51],"attention":[52],"paid":[54],"the":[56,60,63,69,77,93,110],"design":[57],"both":[59],"ANN":[61],"feature":[64],"extraction":[65],"mechanism":[66],"keep":[68],"as":[71,73],"lightweight":[72],"possible,":[74],"so":[75],"that":[76],"resulting":[78],"can":[81,97],"be":[82,98],"easily":[83],"implemented":[84],"in":[85],"embedded":[86],"hardware":[87],"platforms.":[88],"As":[89],"special":[91],"case,":[92],"proposed":[94,111],"used":[99],"for":[100],"hidden":[101],"mode":[102],"reconstruction":[103],"switched":[105],"systems.":[107],"Applications":[108],"approach":[112],"are":[113],"geared":[114],"towards":[115],"fault":[116],"detection":[117],"isolation,":[119],"predictive":[120],"maintenance,":[121],"gain-scheduling":[123],"control.":[124]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
