{"id":"https://openalex.org/W4309223083","doi":"https://doi.org/10.1515/auto-2022-0089","title":"Machine learning with nonlinear state space models","display_name":"Machine learning with nonlinear state space models","publication_year":2022,"publication_date":"2022-10-27","ids":{"openalex":"https://openalex.org/W4309223083","doi":"https://doi.org/10.1515/auto-2022-0089"},"language":"en","primary_location":{"id":"doi:10.1515/auto-2022-0089","is_oa":false,"landing_page_url":"https://doi.org/10.1515/auto-2022-0089","pdf_url":null,"source":{"id":"https://openalex.org/S4210170077","display_name":"at - Automatisierungstechnik","issn_l":"0178-2312","issn":["0178-2312","2196-677X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319967","host_organization_name":"R. Oldenbourg Verlag","host_organization_lineage":["https://openalex.org/P4310319967"],"host_organization_lineage_names":["R. Oldenbourg Verlag"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"at - Automatisierungstechnik","raw_type":"journal-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/A5021300984","display_name":"Max Sch\u00fcssler","orcid":"https://orcid.org/0000-0003-0394-1693"},"institutions":[{"id":"https://openalex.org/I206895457","display_name":"University of Siegen","ror":"https://ror.org/02azyry73","country_code":"DE","type":"education","lineage":["https://openalex.org/I206895457"]}],"countries":["DE"],"is_corresponding":true,"raw_author_name":"Max Sch\u00fcssler","raw_affiliation_strings":["University of Siegen , Institute of Mechanics and Control Engineering \u2013 Mechatronics , Paul-Bonatz-Str. 9-11 , Siegen , Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Siegen , Institute of Mechanics and Control Engineering \u2013 Mechatronics , Paul-Bonatz-Str. 9-11 , Siegen , Germany","institution_ids":["https://openalex.org/I206895457"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5021300984"],"corresponding_institution_ids":["https://openalex.org/I206895457"],"apc_list":null,"apc_paid":null,"fwci":0.8323,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.78135607,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":"70","issue":"11","first_page":"1027","last_page":"1028"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10320","display_name":"Neural Networks and Applications","score":0.9391999840736389,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T10320","display_name":"Neural Networks and Applications","score":0.9391999840736389,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/state-space","display_name":"State space","score":0.741733193397522},{"id":"https://openalex.org/keywords/nonlinear-system","display_name":"Nonlinear system","score":0.7164559960365295},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5857723951339722},{"id":"https://openalex.org/keywords/class","display_name":"Class (philosophy)","score":0.58273845911026},{"id":"https://openalex.org/keywords/state","display_name":"State (computer science)","score":0.5537037253379822},{"id":"https://openalex.org/keywords/state-space-representation","display_name":"State-space representation","score":0.5436784625053406},{"id":"https://openalex.org/keywords/space","display_name":"Space (punctuation)","score":0.533566951751709},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.5271998047828674},{"id":"https://openalex.org/keywords/nonlinear-system-identification","display_name":"Nonlinear system identification","score":0.5030021071434021},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4923053979873657},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4725627303123474},{"id":"https://openalex.org/keywords/recurrent-neural-network","display_name":"Recurrent neural network","score":0.47067365050315857},{"id":"https://openalex.org/keywords/system-identification","display_name":"System identification","score":0.4591493010520935},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.2797701060771942},{"id":"https://openalex.org/keywords/data-modeling","display_name":"Data modeling","score":0.2652716636657715},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.24070104956626892}],"concepts":[{"id":"https://openalex.org/C72434380","wikidata":"https://www.wikidata.org/wiki/Q230930","display_name":"State space","level":2,"score":0.741733193397522},{"id":"https://openalex.org/C158622935","wikidata":"https://www.wikidata.org/wiki/Q660848","display_name":"Nonlinear system","level":2,"score":0.7164559960365295},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5857723951339722},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.58273845911026},{"id":"https://openalex.org/C48103436","wikidata":"https://www.wikidata.org/wiki/Q599031","display_name":"State (computer science)","level":2,"score":0.5537037253379822},{"id":"https://openalex.org/C52918065","wikidata":"https://www.wikidata.org/wiki/Q230945","display_name":"State-space representation","level":2,"score":0.5436784625053406},{"id":"https://openalex.org/C2778572836","wikidata":"https://www.wikidata.org/wiki/Q380933","display_name":"Space (punctuation)","level":2,"score":0.533566951751709},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.5271998047828674},{"id":"https://openalex.org/C22157029","wikidata":"https://www.wikidata.org/wiki/Q17080460","display_name":"Nonlinear system identification","level":4,"score":0.5030021071434021},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4923053979873657},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4725627303123474},{"id":"https://openalex.org/C147168706","wikidata":"https://www.wikidata.org/wiki/Q1457734","display_name":"Recurrent neural network","level":3,"score":0.47067365050315857},{"id":"https://openalex.org/C119247159","wikidata":"https://www.wikidata.org/wiki/Q1366192","display_name":"System identification","level":3,"score":0.4591493010520935},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.2797701060771942},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.2652716636657715},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.24070104956626892},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","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/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"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/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","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/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1515/auto-2022-0089","is_oa":false,"landing_page_url":"https://doi.org/10.1515/auto-2022-0089","pdf_url":null,"source":{"id":"https://openalex.org/S4210170077","display_name":"at - Automatisierungstechnik","issn_l":"0178-2312","issn":["0178-2312","2196-677X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319967","host_organization_name":"R. Oldenbourg Verlag","host_organization_lineage":["https://openalex.org/P4310319967"],"host_organization_lineage_names":["R. Oldenbourg Verlag"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"at - Automatisierungstechnik","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/11","score":0.7699999809265137,"display_name":"Sustainable cities and communities"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W2579634771","https://openalex.org/W2152282424","https://openalex.org/W1560664277","https://openalex.org/W2076454298","https://openalex.org/W2379678519","https://openalex.org/W3132987288","https://openalex.org/W883676525","https://openalex.org/W2523512076","https://openalex.org/W4285052347","https://openalex.org/W2959282771"],"abstract_inverted_index":{"Abstract":[0],"In":[1],"this":[2],"dissertation,":[3],"a":[4],"novel":[5],"class":[6],"of":[7,59],"model":[8,30,34],"structures":[9],"and":[10,44],"associated":[11],"training":[12],"algorithms":[13],"for":[14],"building":[15],"data-driven":[16],"nonlinear":[17,48],"state":[18,35,49],"space":[19,36,50],"models":[20,51],"is":[21,31,62],"developed.":[22],"The":[23,55],"new":[24],"identification":[25],"procedure":[26],"with":[27],"the":[28,60],"resulting":[29],"called":[32],"local":[33],"network":[37],"(LMSSN).":[38],"Furthermore,":[39],"recurrent":[40],"neural":[41],"networks":[42],"(RNNs)":[43],"their":[45],"similarities":[46],"to":[47],"are":[52],"elaborated":[53],"on.":[54],"overall":[56],"outstanding":[57],"performance":[58],"LMSSN":[61],"demonstrated":[63],"on":[64],"various":[65],"applications.":[66]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":1}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}