Joint State and Fault Estimation for Nonlinear Systems Subject to Measurement Censoring and Missing Measurements

This paper investigates the joint state and fault estimation problem for a class of nonlinear systems subject to both measurement censoring (MC) and random missing measurements (MMs). Recognizing that state estimation for nonlinear systems in complex environments is frequently compromised by MMs, MC...

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Vydáno v:	Sensors (Basel, Switzerland) Ročník 25; číslo 17; s. 5396
Hlavní autoři:	Wang, Yudong, Guo, Tingting, He, Xiaodong, Rong, Lihong, Li, Juan
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	Switzerland MDPI AG 01.09.2025
Témata:	Actuators Algorithms Communication Engineering fusion estimation joint state and fault estimation Kalman filters Measurement measurement censoring Measurement techniques Methods missing measurements Navigation systems recursive algorithms Sensors recursive algorithms joint state and fault estimation missing measurements measurement censoring fusion estimation
ISSN:	1424-8220, 1424-8220
On-line přístup:	Získat plný text
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