{"id":"https://openalex.org/W2912799857","doi":"https://doi.org/10.1109/cdc.2018.8619475","title":"Learning Nonlinear State-Space Models Using Deep Autoencoders","display_name":"Learning Nonlinear State-Space Models Using Deep Autoencoders","publication_year":2018,"publication_date":"2018-12-01","ids":{"openalex":"https://openalex.org/W2912799857","doi":"https://doi.org/10.1109/cdc.2018.8619475","mag":"2912799857"},"language":"en","primary_location":{"id":"doi:10.1109/cdc.2018.8619475","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cdc.2018.8619475","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE 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/A5063494900","display_name":"Daniele Masti","orcid":"https://orcid.org/0000-0002-2889-2309"},"institutions":[{"id":"https://openalex.org/I45084792","display_name":"University of Florence","ror":"https://ror.org/04jr1s763","country_code":"IT","type":"education","lineage":["https://openalex.org/I45084792"]}],"countries":["IT"],"is_corresponding":true,"raw_author_name":"Daniele Masti","raw_affiliation_strings":["Department of Information Engineering, University of Florence, Italy"],"affiliations":[{"raw_affiliation_string":"Department of Information Engineering, University of Florence, Italy","institution_ids":["https://openalex.org/I45084792"]}]},{"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":2,"corresponding_author_ids":["https://openalex.org/A5063494900"],"corresponding_institution_ids":["https://openalex.org/I45084792"],"apc_list":null,"apc_paid":null,"fwci":3.8626,"has_fulltext":false,"cited_by_count":43,"citation_normalized_percentile":{"value":0.94221776,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"3862","last_page":"3867"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11236","display_name":"Control Systems and Identification","score":0.9987999796867371,"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/T11236","display_name":"Control Systems and Identification","score":0.9987999796867371,"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":0.9980999827384949,"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/T11206","display_name":"Model Reduction and Neural Networks","score":0.9976999759674072,"subfield":{"id":"https://openalex.org/subfields/3109","display_name":"Statistical and Nonlinear Physics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/nonlinear-system","display_name":"Nonlinear system","score":0.7429469227790833},{"id":"https://openalex.org/keywords/hyperparameter","display_name":"Hyperparameter","score":0.6823043823242188},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.6646816730499268},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6567158699035645},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.651595413684845},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5271317958831787},{"id":"https://openalex.org/keywords/dimensionality-reduction","display_name":"Dimensionality reduction","score":0.48270630836486816},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.4820612072944641},{"id":"https://openalex.org/keywords/state-space","display_name":"State space","score":0.4761486053466797},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4539376199245453},{"id":"https://openalex.org/keywords/model-predictive-control","display_name":"Model predictive control","score":0.4393225908279419},{"id":"https://openalex.org/keywords/nonlinear-system-identification","display_name":"Nonlinear system identification","score":0.4301999509334564},{"id":"https://openalex.org/keywords/curse-of-dimensionality","display_name":"Curse of dimensionality","score":0.4190010130405426},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.41813230514526367},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.33683449029922485},{"id":"https://openalex.org/keywords/system-identification","display_name":"System identification","score":0.33678507804870605},{"id":"https://openalex.org/keywords/data-modeling","display_name":"Data modeling","score":0.29629501700401306},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.16582268476486206},{"id":"https://openalex.org/keywords/control","display_name":"Control (management)","score":0.12554100155830383},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.12068593502044678}],"concepts":[{"id":"https://openalex.org/C158622935","wikidata":"https://www.wikidata.org/wiki/Q660848","display_name":"Nonlinear system","level":2,"score":0.7429469227790833},{"id":"https://openalex.org/C8642999","wikidata":"https://www.wikidata.org/wiki/Q4171168","display_name":"Hyperparameter","level":2,"score":0.6823043823242188},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.6646816730499268},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6567158699035645},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.651595413684845},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5271317958831787},{"id":"https://openalex.org/C70518039","wikidata":"https://www.wikidata.org/wiki/Q16000077","display_name":"Dimensionality reduction","level":2,"score":0.48270630836486816},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.4820612072944641},{"id":"https://openalex.org/C72434380","wikidata":"https://www.wikidata.org/wiki/Q230930","display_name":"State space","level":2,"score":0.4761486053466797},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4539376199245453},{"id":"https://openalex.org/C172205157","wikidata":"https://www.wikidata.org/wiki/Q1782962","display_name":"Model predictive control","level":3,"score":0.4393225908279419},{"id":"https://openalex.org/C22157029","wikidata":"https://www.wikidata.org/wiki/Q17080460","display_name":"Nonlinear system identification","level":4,"score":0.4301999509334564},{"id":"https://openalex.org/C111030470","wikidata":"https://www.wikidata.org/wiki/Q1430460","display_name":"Curse of dimensionality","level":2,"score":0.4190010130405426},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.41813230514526367},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.33683449029922485},{"id":"https://openalex.org/C119247159","wikidata":"https://www.wikidata.org/wiki/Q1366192","display_name":"System identification","level":3,"score":0.33678507804870605},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.29629501700401306},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.16582268476486206},{"id":"https://openalex.org/C2775924081","wikidata":"https://www.wikidata.org/wiki/Q55608371","display_name":"Control (management)","level":2,"score":0.12554100155830383},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.12068593502044678},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"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/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.0},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","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/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/cdc.2018.8619475","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cdc.2018.8619475","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE Conference on Decision and Control (CDC)","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":23,"referenced_works":["https://openalex.org/W6413478","https://openalex.org/W1960210438","https://openalex.org/W2028678875","https://openalex.org/W2040690030","https://openalex.org/W2092766760","https://openalex.org/W2100495367","https://openalex.org/W2103496339","https://openalex.org/W2145094598","https://openalex.org/W2155713971","https://openalex.org/W2161920802","https://openalex.org/W2166116275","https://openalex.org/W2511918263","https://openalex.org/W2523760000","https://openalex.org/W2735778951","https://openalex.org/W2765772640","https://openalex.org/W2785523195","https://openalex.org/W2963285578","https://openalex.org/W2963535512","https://openalex.org/W2997574889","https://openalex.org/W4211147054","https://openalex.org/W6681096077","https://openalex.org/W6727484515","https://openalex.org/W7075998265"],"related_works":["https://openalex.org/W2152282424","https://openalex.org/W2091914113","https://openalex.org/W564324191","https://openalex.org/W2021395081","https://openalex.org/W4386033416","https://openalex.org/W2004841036","https://openalex.org/W1595492935","https://openalex.org/W1987213476","https://openalex.org/W176335707","https://openalex.org/W4245871790"],"abstract_inverted_index":{"We":[0],"introduce":[1],"a":[2,27,44,73,82],"new":[3],"methodology":[4],"for":[5,19,57],"the":[6,36,50,59,64,92,104,114],"identification":[7],"of":[8,71,91,94,102],"nonlinear":[9,37,74,84,107],"state-space":[10],"models":[11],"using":[12],"machine-learning":[13],"techniques":[14],"based":[15,112],"on":[16,113],"deep":[17],"autoencoders":[18],"dimensionality":[20],"reduction":[21],"and":[22,39,42,54,62,96,101],"neural":[23,45],"networks.":[24],"By":[25],"learning":[26],"direct":[28],"acyclic":[29],"computational":[30],"graph,":[31],"our":[32],"framework":[33],"simultaneously":[34],"identifies":[35],"output":[38,98],"state-update":[40],"maps,":[41],"optionally":[43],"state":[46],"observer.":[47],"After":[48],"formulating":[49],"approach":[51],"in":[52,89],"detail":[53],"providing":[55],"guidelines":[56],"tuning":[58],"related":[60],"hyperparameters":[61],"reducing":[63],"model":[65,75,108],"order,":[66],"we":[67],"show":[68],"its":[69],"capability":[70],"fitting":[72],"from":[76],"an":[77],"input/output":[78],"dataset":[79],"generated":[80],"by":[81],"benchmark":[83],"system.":[85],"Performance":[86],"is":[87],"assessed":[88],"terms":[90],"ability":[93],"filtering":[95],"predicting":[97],"signals":[99],"ahead,":[100],"controlling":[103],"system":[105],"via":[106],"predictive":[109],"control":[110],"(MPC)":[111],"identified":[115],"model.":[116]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":6},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":9},{"year":2021,"cited_by_count":10},{"year":2020,"cited_by_count":9},{"year":2019,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
