{"id":"https://openalex.org/W4210242056","doi":"https://doi.org/10.1109/safeprocess52771.2021.9693651","title":"Sensor Fault Identification for a Class of Nonlinear Discrete-time System","display_name":"Sensor Fault Identification for a Class of Nonlinear Discrete-time System","publication_year":2021,"publication_date":"2021-12-17","ids":{"openalex":"https://openalex.org/W4210242056","doi":"https://doi.org/10.1109/safeprocess52771.2021.9693651"},"language":"en","primary_location":{"id":"doi:10.1109/safeprocess52771.2021.9693651","is_oa":false,"landing_page_url":"https://doi.org/10.1109/safeprocess52771.2021.9693651","pdf_url":null,"source":{"id":"https://openalex.org/S4363605570","display_name":"2021 CAA Symposium on Fault Detection, Supervision, and Safety for Technical Processes (SAFEPROCESS)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 CAA Symposium on Fault Detection, Supervision, and Safety for Technical Processes (SAFEPROCESS)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5088021647","display_name":"Zejian Zhu","orcid":null},"institutions":[{"id":"https://openalex.org/I90610280","display_name":"South China University of Technology","ror":"https://ror.org/0530pts50","country_code":"CN","type":"education","lineage":["https://openalex.org/I90610280"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zejian Zhu","raw_affiliation_strings":["School of Automation Science and Engineering, South China University of Technology, Guangzhou, P. R. China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Automation Science and Engineering, South China University of Technology, Guangzhou, P. R. China","institution_ids":["https://openalex.org/I90610280"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5026911683","display_name":"Tianrui Chen","orcid":"https://orcid.org/0000-0002-5156-1057"},"institutions":[{"id":"https://openalex.org/I154099455","display_name":"Shandong University","ror":"https://ror.org/0207yh398","country_code":"CN","type":"education","lineage":["https://openalex.org/I154099455"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tianrui Chen","raw_affiliation_strings":["School of Control Science and Engineering, Shandong University, Jinan, P. R. China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Control Science and Engineering, Shandong University, Jinan, P. R. China","institution_ids":["https://openalex.org/I154099455"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100390479","display_name":"Cong Wang","orcid":"https://orcid.org/0000-0002-4106-6108"},"institutions":[{"id":"https://openalex.org/I154099455","display_name":"Shandong University","ror":"https://ror.org/0207yh398","country_code":"CN","type":"education","lineage":["https://openalex.org/I154099455"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Cong Wang","raw_affiliation_strings":["School of Control Science and Engineering, Shandong University, Jinan, P. R. China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Control Science and Engineering, Shandong University, Jinan, P. R. China","institution_ids":["https://openalex.org/I154099455"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.2987747,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"62","issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10876","display_name":"Fault Detection and Control Systems","score":0.9994000196456909,"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":0.9994000196456909,"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/T10320","display_name":"Neural Networks and Applications","score":0.994700014591217,"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/T10040","display_name":"Adaptive Control of Nonlinear Systems","score":0.9940000176429749,"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/nonlinear-system","display_name":"Nonlinear system","score":0.7030631303787231},{"id":"https://openalex.org/keywords/control-theory","display_name":"Control theory (sociology)","score":0.6606123447418213},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5937206149101257},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5901862978935242},{"id":"https://openalex.org/keywords/class","display_name":"Class (philosophy)","score":0.5681746006011963},{"id":"https://openalex.org/keywords/observer","display_name":"Observer (physics)","score":0.5312387943267822},{"id":"https://openalex.org/keywords/discrete-time-and-continuous-time","display_name":"Discrete time and continuous time","score":0.5243663787841797},{"id":"https://openalex.org/keywords/stability","display_name":"Stability (learning theory)","score":0.4465567171573639},{"id":"https://openalex.org/keywords/fault-detection-and-isolation","display_name":"Fault detection and isolation","score":0.44318029284477234},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.44223397970199585},{"id":"https://openalex.org/keywords/state","display_name":"State (computer science)","score":0.42857038974761963},{"id":"https://openalex.org/keywords/fault","display_name":"Fault (geology)","score":0.4230336546897888},{"id":"https://openalex.org/keywords/exponential-stability","display_name":"Exponential stability","score":0.41097328066825867},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.30637097358703613},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.30116474628448486},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.259139746427536},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.14075341820716858},{"id":"https://openalex.org/keywords/control","display_name":"Control (management)","score":0.09496104717254639}],"concepts":[{"id":"https://openalex.org/C158622935","wikidata":"https://www.wikidata.org/wiki/Q660848","display_name":"Nonlinear system","level":2,"score":0.7030631303787231},{"id":"https://openalex.org/C47446073","wikidata":"https://www.wikidata.org/wiki/Q5165890","display_name":"Control theory (sociology)","level":3,"score":0.6606123447418213},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5937206149101257},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5901862978935242},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.5681746006011963},{"id":"https://openalex.org/C2780704645","wikidata":"https://www.wikidata.org/wiki/Q9251458","display_name":"Observer (physics)","level":2,"score":0.5312387943267822},{"id":"https://openalex.org/C55689738","wikidata":"https://www.wikidata.org/wiki/Q15963867","display_name":"Discrete time and continuous time","level":2,"score":0.5243663787841797},{"id":"https://openalex.org/C112972136","wikidata":"https://www.wikidata.org/wiki/Q7595718","display_name":"Stability (learning theory)","level":2,"score":0.4465567171573639},{"id":"https://openalex.org/C152745839","wikidata":"https://www.wikidata.org/wiki/Q5438153","display_name":"Fault detection and isolation","level":3,"score":0.44318029284477234},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.44223397970199585},{"id":"https://openalex.org/C48103436","wikidata":"https://www.wikidata.org/wiki/Q599031","display_name":"State (computer science)","level":2,"score":0.42857038974761963},{"id":"https://openalex.org/C175551986","wikidata":"https://www.wikidata.org/wiki/Q47089","display_name":"Fault (geology)","level":2,"score":0.4230336546897888},{"id":"https://openalex.org/C167964875","wikidata":"https://www.wikidata.org/wiki/Q17011487","display_name":"Exponential stability","level":3,"score":0.41097328066825867},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.30637097358703613},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.30116474628448486},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.259139746427536},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.14075341820716858},{"id":"https://openalex.org/C2775924081","wikidata":"https://www.wikidata.org/wiki/Q55608371","display_name":"Control (management)","level":2,"score":0.09496104717254639},{"id":"https://openalex.org/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","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/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"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},{"id":"https://openalex.org/C172707124","wikidata":"https://www.wikidata.org/wiki/Q423488","display_name":"Actuator","level":2,"score":0.0},{"id":"https://openalex.org/C165205528","wikidata":"https://www.wikidata.org/wiki/Q83371","display_name":"Seismology","level":1,"score":0.0},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/safeprocess52771.2021.9693651","is_oa":false,"landing_page_url":"https://doi.org/10.1109/safeprocess52771.2021.9693651","pdf_url":null,"source":{"id":"https://openalex.org/S4363605570","display_name":"2021 CAA Symposium on Fault Detection, Supervision, and Safety for Technical Processes (SAFEPROCESS)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 CAA Symposium on Fault Detection, Supervision, and Safety for Technical Processes (SAFEPROCESS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":26,"referenced_works":["https://openalex.org/W130083205","https://openalex.org/W993535811","https://openalex.org/W1965324089","https://openalex.org/W1974859710","https://openalex.org/W2052438144","https://openalex.org/W2057423886","https://openalex.org/W2089317779","https://openalex.org/W2090191297","https://openalex.org/W2147168374","https://openalex.org/W2156279034","https://openalex.org/W2156665096","https://openalex.org/W2157890204","https://openalex.org/W2190800341","https://openalex.org/W2495825432","https://openalex.org/W2549039965","https://openalex.org/W2552317234","https://openalex.org/W2594353858","https://openalex.org/W2763685140","https://openalex.org/W2765175255","https://openalex.org/W2897252943","https://openalex.org/W3022546531","https://openalex.org/W3142849873","https://openalex.org/W3154217423","https://openalex.org/W3175938478","https://openalex.org/W6683450885","https://openalex.org/W6797162383"],"related_works":["https://openalex.org/W3192036299","https://openalex.org/W2146428417","https://openalex.org/W1593898832","https://openalex.org/W3176458675","https://openalex.org/W2561776955","https://openalex.org/W2756324413","https://openalex.org/W3121254296","https://openalex.org/W2060193301","https://openalex.org/W1965992231","https://openalex.org/W4251859918"],"abstract_inverted_index":{"This":[0],"paper":[1],"presents":[2],"an":[3],"adaptive":[4],"neural":[5],"network":[6],"(ANN)":[7],"observer":[8],"based":[9],"on":[10],"deterministic":[11],"learning":[12],"(DL)":[13],"theory":[14],"for":[15],"a":[16],"class":[17],"of":[18,32,46,57],"discrete-time":[19],"nonlinear":[20],"system":[21,39],"with":[22],"sensor":[23,47],"faults.":[24],"The":[25,51],"attractiveness":[26],"is":[27,40,49],"that":[28],"the":[29,33,55,58],"exponential":[30],"stability":[31],"state":[34],"and":[35,42],"parameter":[36],"estimation":[37],"error":[38],"proved,":[41],"thus":[43],"locally-accurate":[44],"approximation":[45],"faults":[48],"achieved.":[50],"simulation":[52],"example":[53],"shows":[54],"effectiveness":[56],"proposed":[59],"approach.":[60]},"counts_by_year":[],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}