{"id":"https://openalex.org/W7131088074","doi":"https://doi.org/10.1109/robio66223.2025.11376221","title":"A Meta-Koopman Approach for Decomposing Nonlinear Systems with Parametric Variations in Model Predictive Control","display_name":"A Meta-Koopman Approach for Decomposing Nonlinear Systems with Parametric Variations in Model Predictive Control","publication_year":2025,"publication_date":"2025-12-03","ids":{"openalex":"https://openalex.org/W7131088074","doi":"https://doi.org/10.1109/robio66223.2025.11376221"},"language":null,"primary_location":{"id":"doi:10.1109/robio66223.2025.11376221","is_oa":false,"landing_page_url":"https://doi.org/10.1109/robio66223.2025.11376221","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE International Conference on Robotics and Biomimetics (ROBIO)","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/A5126627337","display_name":"Yao Tang","orcid":null},"institutions":[{"id":"https://openalex.org/I116953780","display_name":"Tongji University","ror":"https://ror.org/03rc6as71","country_code":"CN","type":"education","lineage":["https://openalex.org/I116953780"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yao Tang","raw_affiliation_strings":["Tongji University,Department of Control Science and Engineering,Shanghai,China,201804"],"affiliations":[{"raw_affiliation_string":"Tongji University,Department of Control Science and Engineering,Shanghai,China,201804","institution_ids":["https://openalex.org/I116953780"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5126593782","display_name":"Peng Yi","orcid":null},"institutions":[{"id":"https://openalex.org/I116953780","display_name":"Tongji University","ror":"https://ror.org/03rc6as71","country_code":"CN","type":"education","lineage":["https://openalex.org/I116953780"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Peng Yi","raw_affiliation_strings":["Tongji University,Department of Control Science and Engineering,Shanghai,China,201804"],"affiliations":[{"raw_affiliation_string":"Tongji University,Department of Control Science and Engineering,Shanghai,China,201804","institution_ids":["https://openalex.org/I116953780"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5080698243","display_name":"C.-W. Li","orcid":null},"institutions":[{"id":"https://openalex.org/I116953780","display_name":"Tongji University","ror":"https://ror.org/03rc6as71","country_code":"CN","type":"education","lineage":["https://openalex.org/I116953780"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chaodong Li","raw_affiliation_strings":["Tongji University,Department of Control Science and Engineering,Shanghai,China,201804"],"affiliations":[{"raw_affiliation_string":"Tongji University,Department of Control Science and Engineering,Shanghai,China,201804","institution_ids":["https://openalex.org/I116953780"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101498417","display_name":"Danyang Zhao","orcid":"https://orcid.org/0000-0001-8219-0300"},"institutions":[{"id":"https://openalex.org/I116953780","display_name":"Tongji University","ror":"https://ror.org/03rc6as71","country_code":"CN","type":"education","lineage":["https://openalex.org/I116953780"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Di Zhao","raw_affiliation_strings":["Tongji University,Department of Control Science and Engineering,Shanghai,China,201804"],"affiliations":[{"raw_affiliation_string":"Tongji University,Department of Control Science and Engineering,Shanghai,China,201804","institution_ids":["https://openalex.org/I116953780"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5126627337"],"corresponding_institution_ids":["https://openalex.org/I116953780"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.77261586,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"428","last_page":"435"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11206","display_name":"Model Reduction and Neural Networks","score":0.8787000179290771,"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"}},"topics":[{"id":"https://openalex.org/T11206","display_name":"Model Reduction and Neural Networks","score":0.8787000179290771,"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"}},{"id":"https://openalex.org/T10791","display_name":"Advanced Control Systems Optimization","score":0.03830000013113022,"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":0.020099999383091927,"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/robustness","display_name":"Robustness (evolution)","score":0.6693999767303467},{"id":"https://openalex.org/keywords/parametric-statistics","display_name":"Parametric statistics","score":0.6047999858856201},{"id":"https://openalex.org/keywords/control-theory","display_name":"Control theory (sociology)","score":0.588100016117096},{"id":"https://openalex.org/keywords/nonlinear-system","display_name":"Nonlinear system","score":0.5530999898910522},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5253000259399414},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.4973999857902527},{"id":"https://openalex.org/keywords/system-dynamics","display_name":"System dynamics","score":0.48969998955726624},{"id":"https://openalex.org/keywords/model-predictive-control","display_name":"Model predictive control","score":0.43639999628067017},{"id":"https://openalex.org/keywords/inverted-pendulum","display_name":"Inverted pendulum","score":0.421999990940094}],"concepts":[{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.6693999767303467},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6305999755859375},{"id":"https://openalex.org/C117251300","wikidata":"https://www.wikidata.org/wiki/Q1849855","display_name":"Parametric statistics","level":2,"score":0.6047999858856201},{"id":"https://openalex.org/C47446073","wikidata":"https://www.wikidata.org/wiki/Q5165890","display_name":"Control theory (sociology)","level":3,"score":0.588100016117096},{"id":"https://openalex.org/C158622935","wikidata":"https://www.wikidata.org/wiki/Q660848","display_name":"Nonlinear system","level":2,"score":0.5530999898910522},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5253000259399414},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.4973999857902527},{"id":"https://openalex.org/C77405623","wikidata":"https://www.wikidata.org/wiki/Q598451","display_name":"System dynamics","level":2,"score":0.48969998955726624},{"id":"https://openalex.org/C133731056","wikidata":"https://www.wikidata.org/wiki/Q4917288","display_name":"Control engineering","level":1,"score":0.4383000135421753},{"id":"https://openalex.org/C172205157","wikidata":"https://www.wikidata.org/wiki/Q1782962","display_name":"Model predictive control","level":3,"score":0.43639999628067017},{"id":"https://openalex.org/C192921069","wikidata":"https://www.wikidata.org/wiki/Q550134","display_name":"Inverted pendulum","level":3,"score":0.421999990940094},{"id":"https://openalex.org/C2780023022","wikidata":"https://www.wikidata.org/wiki/Q1338171","display_name":"Compensation (psychology)","level":2,"score":0.3912000060081482},{"id":"https://openalex.org/C31531917","wikidata":"https://www.wikidata.org/wiki/Q915157","display_name":"Robust control","level":3,"score":0.3750999867916107},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.35530000925064087},{"id":"https://openalex.org/C139807058","wikidata":"https://www.wikidata.org/wiki/Q352374","display_name":"Adaptation (eye)","level":2,"score":0.3483000099658966},{"id":"https://openalex.org/C17500928","wikidata":"https://www.wikidata.org/wiki/Q959968","display_name":"Control system","level":2,"score":0.3474000096321106},{"id":"https://openalex.org/C110639684","wikidata":"https://www.wikidata.org/wiki/Q20702","display_name":"Pendulum","level":2,"score":0.33469998836517334},{"id":"https://openalex.org/C79379906","wikidata":"https://www.wikidata.org/wiki/Q3174497","display_name":"Dynamical systems theory","level":2,"score":0.3215000033378601},{"id":"https://openalex.org/C24574437","wikidata":"https://www.wikidata.org/wiki/Q7135228","display_name":"Parametric model","level":3,"score":0.31450000405311584},{"id":"https://openalex.org/C119247159","wikidata":"https://www.wikidata.org/wiki/Q1366192","display_name":"System identification","level":3,"score":0.30630001425743103},{"id":"https://openalex.org/C2775924081","wikidata":"https://www.wikidata.org/wiki/Q55608371","display_name":"Control (management)","level":2,"score":0.3021000027656555},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.29919999837875366},{"id":"https://openalex.org/C2984755018","wikidata":"https://www.wikidata.org/wiki/Q17118374","display_name":"Nonlinear model","level":3,"score":0.2712000012397766},{"id":"https://openalex.org/C145912823","wikidata":"https://www.wikidata.org/wiki/Q113558","display_name":"Dynamics (music)","level":2,"score":0.26260000467300415},{"id":"https://openalex.org/C107464732","wikidata":"https://www.wikidata.org/wiki/Q235781","display_name":"Adaptive control","level":3,"score":0.25760000944137573},{"id":"https://openalex.org/C2779714256","wikidata":"https://www.wikidata.org/wiki/Q25305062","display_name":"Multiple Models","level":2,"score":0.2547000050544739},{"id":"https://openalex.org/C167928553","wikidata":"https://www.wikidata.org/wiki/Q1376021","display_name":"Estimation theory","level":2,"score":0.25360000133514404},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.2517000138759613},{"id":"https://openalex.org/C33962884","wikidata":"https://www.wikidata.org/wiki/Q378637","display_name":"Dynamical system (definition)","level":3,"score":0.25099998712539673}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/robio66223.2025.11376221","is_oa":false,"landing_page_url":"https://doi.org/10.1109/robio66223.2025.11376221","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE International Conference on Robotics and Biomimetics (ROBIO)","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":17,"referenced_works":["https://openalex.org/W1997054581","https://openalex.org/W2738778707","https://openalex.org/W2963796870","https://openalex.org/W2992833799","https://openalex.org/W3020718655","https://openalex.org/W3129637124","https://openalex.org/W3131850807","https://openalex.org/W3172500665","https://openalex.org/W3187710359","https://openalex.org/W3207807598","https://openalex.org/W4229014698","https://openalex.org/W4285102411","https://openalex.org/W4321380998","https://openalex.org/W4383097706","https://openalex.org/W4389331546","https://openalex.org/W4402736667","https://openalex.org/W4405785135"],"related_works":[],"abstract_inverted_index":{"The":[0,40,91,109],"learning-based":[1],"methodologies":[2],"for":[3],"dynamic":[4,27,45,63,78,89],"model":[5,73,79],"representation":[6],"facilitate":[7],"the":[8,32,37,61,87,113,118,124],"acquisition":[9],"of":[10,14,43,51,86,120,126],"more":[11],"precise":[12],"characterizations":[13],"system":[15,38],"dynamics":[16,35],"in":[17,123],"addressing":[18],"control":[19,121],"problems.":[20],"Nevertheless,":[21],"a":[22,56,66,70,77],"discrepancy":[23],"persists":[24],"between":[25],"neural":[26,44,62,88],"models":[28,46],"trained":[29],"offline":[30],"and":[31,47,76,105],"actual":[33],"parametrically-varying":[34],"across":[36],"family.":[39],"structural":[41,127],"design":[42],"online":[48,84],"adaptation":[49,85],"are":[50],"critical":[52],"importance.":[53],"We":[54],"propose":[55],"Koopman-based":[57],"framework":[58],"to":[59,82],"characterize":[60],"architecture,":[64],"integrating":[65],"temporal":[67],"encoder,":[68],"alongside":[69],"meta-learning-driven":[71],"neurody-namic":[72],"training":[74],"method":[75],"compensation":[80],"strategy":[81],"enable":[83],"model.":[90],"proposed":[92,114],"approach":[93],"is":[94],"rigorously":[95],"validated":[96],"through":[97],"extensive":[98],"experiments":[99],"conducted":[100],"on":[101],"both":[102],"coupled":[103],"pendulum":[104],"planar":[106],"quadrotor":[107],"systems.":[108],"results":[110],"demonstrate":[111],"that":[112],"methodology":[115],"significantly":[116],"improves":[117],"robustness":[119],"performance":[122],"presence":[125],"deviations.":[128]},"counts_by_year":[],"updated_date":"2026-02-25T06:17:34.324206","created_date":"2026-02-24T00:00:00"}
