{"id":"https://openalex.org/W4417131417","doi":"https://doi.org/10.1109/tcyb.2025.3632756","title":"Hybrid-Driven State Estimation With Adaptive Cross-Coupled Priors: Enhancing Data Representation and Model Robustness","display_name":"Hybrid-Driven State Estimation With Adaptive Cross-Coupled Priors: Enhancing Data Representation and Model Robustness","publication_year":2025,"publication_date":"2025-12-08","ids":{"openalex":"https://openalex.org/W4417131417","doi":"https://doi.org/10.1109/tcyb.2025.3632756","pmid":"https://pubmed.ncbi.nlm.nih.gov/41359734"},"language":"en","primary_location":{"id":"doi:10.1109/tcyb.2025.3632756","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcyb.2025.3632756","pdf_url":null,"source":{"id":"https://openalex.org/S4210191041","display_name":"IEEE Transactions on Cybernetics","issn_l":"2168-2267","issn":["2168-2267","2168-2275"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Cybernetics","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://orcid.org/0009-0003-8718-119X","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5114549628","display_name":"Lizhang Wang","orcid":"https://orcid.org/0009-0003-8718-119X"},"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":"Lizhang Wang","raw_affiliation_strings":["School of Computer Science and Technology, Tongji University, Shanghai, China"],"raw_orcid":"https://orcid.org/0009-0003-8718-119X","affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Tongji University, Shanghai, China","institution_ids":["https://openalex.org/I116953780"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100699858","display_name":"Zidong Wang","orcid":"https://orcid.org/0000-0002-9576-7401"},"institutions":[{"id":"https://openalex.org/I59433898","display_name":"Brunel University of London","ror":"https://ror.org/00dn4t376","country_code":"GB","type":"education","lineage":["https://openalex.org/I124357947","https://openalex.org/I59433898"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Zidong Wang","raw_affiliation_strings":["Department of Computer Science, Brunel University London, Uxbridge, Middlesex, U.K"],"raw_orcid":"https://orcid.org/0000-0002-9576-7401","affiliations":[{"raw_affiliation_string":"Department of Computer Science, Brunel University London, Uxbridge, Middlesex, U.K","institution_ids":["https://openalex.org/I59433898"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5025515104","display_name":"Qinyuan Liu","orcid":"https://orcid.org/0000-0002-0170-3651"},"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":"Qinyuan Liu","raw_affiliation_strings":["School of Computer Science and Technology, Tongji University, Shanghai, China"],"raw_orcid":"https://orcid.org/0000-0002-0170-3651","affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Tongji University, Shanghai, China","institution_ids":["https://openalex.org/I116953780"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.428,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.84160691,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":97,"max":98},"biblio":{"volume":"56","issue":"3","first_page":"1785","last_page":"1798"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11206","display_name":"Model Reduction and Neural Networks","score":0.2379000037908554,"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":0.2379000037908554,"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/T10711","display_name":"Target Tracking and Data Fusion in Sensor Networks","score":0.1436000019311905,"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"}},{"id":"https://openalex.org/T11689","display_name":"Adversarial Robustness in Machine Learning","score":0.10499999672174454,"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/robustness","display_name":"Robustness (evolution)","score":0.5827999711036682},{"id":"https://openalex.org/keywords/sensor-fusion","display_name":"Sensor fusion","score":0.4496999979019165},{"id":"https://openalex.org/keywords/nonlinear-system","display_name":"Nonlinear system","score":0.4187999963760376},{"id":"https://openalex.org/keywords/pooling","display_name":"Pooling","score":0.3905999958515167},{"id":"https://openalex.org/keywords/data-modeling","display_name":"Data modeling","score":0.3522999882698059},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.3398999869823456},{"id":"https://openalex.org/keywords/estimation-theory","display_name":"Estimation theory","score":0.33809998631477356},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.33719998598098755},{"id":"https://openalex.org/keywords/initialization","display_name":"Initialization","score":0.3352999985218048}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6686999797821045},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.5827999711036682},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5070000290870667},{"id":"https://openalex.org/C33954974","wikidata":"https://www.wikidata.org/wiki/Q486494","display_name":"Sensor fusion","level":2,"score":0.4496999979019165},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.44690001010894775},{"id":"https://openalex.org/C158622935","wikidata":"https://www.wikidata.org/wiki/Q660848","display_name":"Nonlinear system","level":2,"score":0.4187999963760376},{"id":"https://openalex.org/C70437156","wikidata":"https://www.wikidata.org/wiki/Q7228652","display_name":"Pooling","level":2,"score":0.3905999958515167},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.37860000133514404},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.3522999882698059},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.3398999869823456},{"id":"https://openalex.org/C167928553","wikidata":"https://www.wikidata.org/wiki/Q1376021","display_name":"Estimation theory","level":2,"score":0.33809998631477356},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.33719998598098755},{"id":"https://openalex.org/C114466953","wikidata":"https://www.wikidata.org/wiki/Q6034165","display_name":"Initialization","level":2,"score":0.3352999985218048},{"id":"https://openalex.org/C2780513914","wikidata":"https://www.wikidata.org/wiki/Q18210350","display_name":"Bottleneck","level":2,"score":0.3149999976158142},{"id":"https://openalex.org/C152124472","wikidata":"https://www.wikidata.org/wiki/Q1204361","display_name":"Redundancy (engineering)","level":2,"score":0.31060001254081726},{"id":"https://openalex.org/C177606310","wikidata":"https://www.wikidata.org/wiki/Q5674297","display_name":"Adaptability","level":2,"score":0.30820000171661377},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.3028999865055084},{"id":"https://openalex.org/C60008888","wikidata":"https://www.wikidata.org/wiki/Q6031013","display_name":"Information bottleneck method","level":3,"score":0.2939000129699707},{"id":"https://openalex.org/C160234255","wikidata":"https://www.wikidata.org/wiki/Q812535","display_name":"Bayesian inference","level":3,"score":0.28619998693466187},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.2831999957561493},{"id":"https://openalex.org/C8038995","wikidata":"https://www.wikidata.org/wiki/Q1152135","display_name":"Unsupervised learning","level":2,"score":0.2791000008583069},{"id":"https://openalex.org/C185429906","wikidata":"https://www.wikidata.org/wiki/Q1130160","display_name":"Estimator","level":2,"score":0.27639999985694885},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.2736000120639801},{"id":"https://openalex.org/C52970973","wikidata":"https://www.wikidata.org/wiki/Q2497134","display_name":"Adaptive system","level":2,"score":0.271699994802475},{"id":"https://openalex.org/C153083717","wikidata":"https://www.wikidata.org/wiki/Q6535263","display_name":"Leverage (statistics)","level":2,"score":0.2700999975204468},{"id":"https://openalex.org/C160920958","wikidata":"https://www.wikidata.org/wiki/Q7662746","display_name":"Synthetic data","level":2,"score":0.26739999651908875},{"id":"https://openalex.org/C168136583","wikidata":"https://www.wikidata.org/wiki/Q1988242","display_name":"Bayesian information criterion","level":2,"score":0.2590999901294708},{"id":"https://openalex.org/C50897621","wikidata":"https://www.wikidata.org/wiki/Q2665508","display_name":"Hybrid system","level":2,"score":0.25600001215934753}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/tcyb.2025.3632756","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcyb.2025.3632756","pdf_url":null,"source":{"id":"https://openalex.org/S4210191041","display_name":"IEEE Transactions on Cybernetics","issn_l":"2168-2267","issn":["2168-2267","2168-2275"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Cybernetics","raw_type":"journal-article"},{"id":"pmid:41359734","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/41359734","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE transactions on cybernetics","raw_type":null},{"id":"pmh:oai:bura.brunel.ac.uk:2438/32651","is_oa":true,"landing_page_url":"https://orcid.org/0009-0003-8718-119X","pdf_url":null,"source":{"id":"https://openalex.org/S4306401473","display_name":"Brunel University Research Archive (BURA) (Brunel University London)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I59433898","host_organization_name":"Brunel University of London","host_organization_lineage":["https://openalex.org/I59433898"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Article"}],"best_oa_location":{"id":"pmh:oai:bura.brunel.ac.uk:2438/32651","is_oa":true,"landing_page_url":"https://orcid.org/0009-0003-8718-119X","pdf_url":null,"source":{"id":"https://openalex.org/S4306401473","display_name":"Brunel University Research Archive (BURA) (Brunel University London)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I59433898","host_organization_name":"Brunel University of London","host_organization_lineage":["https://openalex.org/I59433898"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G828396987","display_name":null,"funder_award_id":"62222312","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8923950675","display_name":null,"funder_award_id":"62473285","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320320006","display_name":"Royal Society","ror":"https://ror.org/03wnrjx87"},{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320335787","display_name":"Fundamental Research Funds for the Central Universities","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"This":[0,191],"article":[1],"addresses":[2],"the":[3,42,103,123],"integration":[4],"of":[5,60],"model-driven":[6,28],"and":[7,18,29,63,115,158,167,188],"data-driven":[8,30,64],"approaches":[9],"for":[10,199],"robust":[11],"hybrid-driven":[12],"state":[13,201],"estimation":[14,24,152,202],"under":[15,162],"limited":[16,178],"data":[17,186],"model":[19,61,74,85,165,189],"uncertainties.":[20],"An":[21],"unsupervised":[22,117],"hybrid":[23,118,159],"framework,":[25],"termed":[26],"adaptive":[27,37,69],"(AMD),":[31],"is":[32,54],"proposed.":[33],"AMD":[34,108,146,194],"employs":[35],"an":[36,56,68,116],"cross-coupled":[38],"prior":[39,48],"mechanism":[40],"within":[41],"Bayesian":[43],"inference":[44],"paradigm":[45],"to":[46,83,102,133,155,175],"integrate":[47],"information.":[49],"A":[50],"two-stage":[51],"fusion":[52,59,71],"strategy":[53,114],"introduced:":[55],"initial":[57],"hard":[58],"pseudomeasurements":[62],"priors,":[65],"followed":[66],"by":[67,122],"soft":[70],"that":[72,145],"adjusts":[73],"influence":[75],"based":[76],"on":[77,138],"reconstruction":[78],"discrepancies,":[79],"thereby":[80,183],"enhancing":[81,184],"robustness":[82],"imperfect":[84],"priors.":[86],"To":[87],"capture":[88],"complex":[89],"nonlinear":[90,140],"transition":[91],"dynamics,":[92],"a":[93,111,196],"dynamic":[94,168],"bilinear":[95],"recurrent":[96],"module":[97],"has":[98],"been":[99],"developed,":[100],"tailored":[101],"system's":[104],"underlying":[105],"behavior.":[106],"The":[107],"framework":[109],"adopts":[110],"nonidentical":[112],"training-testing":[113],"learning":[119,130],"objective":[120],"inspired":[121],"information":[124,179],"bottleneck":[125],"principle,":[126],"enabling":[127],"accurate":[128],"parameter":[129],"without":[131],"access":[132],"ground-truth":[134],"states.":[135],"Extensive":[136],"experiments":[137],"multiple":[139],"chaotic":[141],"systems":[142],"have":[143],"demonstrated":[144],"consistently":[147],"achieves":[148],"competitive":[149],"or":[150],"superior":[151],"accuracy":[153],"compared":[154],"state-of-the-art":[156],"model-based":[157],"approaches,":[160],"particularly":[161],"underdetermined":[163],"estimation,":[164],"mismatch,":[166],"disturbances.":[169],"These":[170],"results":[171],"demonstrate":[172],"AMD's":[173],"capability":[174],"effectively":[176],"leverage":[177],"through":[180],"complementary":[181],"fusion,":[182],"both":[185],"representation":[187],"robustness.":[190],"adaptability":[192],"positions":[193],"as":[195],"powerful":[197],"solution":[198],"challenging":[200],"problems.":[203]},"counts_by_year":[{"year":2026,"cited_by_count":2}],"updated_date":"2026-07-18T07:39:51.176621","created_date":"2025-12-08T00:00:00"}