State and fault estimation for nonlinear systems subject to censored measurements: A dynamic event-triggered case

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dc.authoridHuang, Cong/0000-0002-4028-2810
dc.authoridCoskun, Serdar/0000-0002-7080-0340
dc.contributor.authorHuang, Cong
dc.contributor.authorCoskun, Serdar
dc.contributor.authorZhang, Xin
dc.contributor.authorMei, Peng
dc.date.accessioned2025-03-17T12:27:41Z
dc.date.available2025-03-17T12:27:41Z
dc.date.issued2022
dc.departmentTarsus Üniversitesi
dc.description.abstractIn this article, the state and fault estimation (SFE) issue is studied for nonlinear systems with parameter uncertainties subject to censored measurement under the dynamic event-triggering protocol. The well-known Tobit measurement model is introduced to characterize the censored measurement and the nonlinearity satisfies specific constraints. For the energy-saving purposes, a dynamic event-triggering protocol is employed to govern the measurement transmissions between the sensor and its corresponding estimator. The primary objective of the addressed problem is to design a dynamic event-triggering estimator to estimate the system state and fault signal simultaneously such that, the upper bound (UB) of the estimation error covariance is guaranteed at each iteration, then such UB is minimized by properly choosing the estimator gain. Moreover, the boundedness analysis of the designed SFE approach is conducted firstly and then a sufficient condition is presented to validate the estimation error is stable in mean-squared sense. Lastly, two experimental results are employed to validate the feasibility of the proposed estimation algorithm.
dc.description.sponsorshipGraduate Student Innovation Fund of Donghua University [CUSF-DH-D-2019092]; Natural Science Foundation of Jiangsu Province [21KJB120010]; Natural Science Foundation of Suzhou University of Science and Technology [342131604]; Scientific and Technological Research Council of Turkey [121E260]
dc.description.sponsorshipGraduate Student Innovation Fund of Donghua University, Grant/Award Number: CUSF-DH-D-2019092; Natural Science Foundation of Jiangsu Province, Grant/Award Number: 21KJB120010; Natural Science Foundation of Suzhou University of Science and Technology, Grant/Award Number: 342131604; Scientific and Technological Research Council of Turkey, Grant/Award Number: 121E260
dc.identifier.doi10.1002/rnc.6062
dc.identifier.endpage4965
dc.identifier.issn1049-8923
dc.identifier.issn1099-1239
dc.identifier.issue8
dc.identifier.scopus2-s2.0-85124563538
dc.identifier.scopusqualityQ1
dc.identifier.startpage4946
dc.identifier.urihttps://doi.org/10.1002/rnc.6062
dc.identifier.urihttps://hdl.handle.net/20.500.13099/2394
dc.identifier.volume32
dc.identifier.wosWOS:000753958500001
dc.identifier.wosqualityQ1
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.language.isoen
dc.publisherWiley
dc.relation.ispartofInternational Journal of Robust and Nonlinear Control
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.snmzKA_WOS_20250316
dc.subjectcensored measurement
dc.subjectdynamic event-triggering protocol
dc.subjectfault signals
dc.subjectnonlinear system
dc.subjectstate and fault estimation
dc.titleState and fault estimation for nonlinear systems subject to censored measurements: A dynamic event-triggered case
dc.typeArticle

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