Sensor Fault Estimation for Nonlinear Complex Networks With Time Delays Under Saturated Innovations: A Binary Encoding Scheme

In this paper, the fault estimation problem is dealt with for a class of nonlinear time-delayed complex networks with bounded stochastic noises and sensor faults under the binary encoding scheme (BES). A first-order differential model with a random bias is utilized to describe the sensor fault to ca...

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Vydáno v:	IEEE transactions on network science and engineering Ročník 9; číslo 6; s. 4171 - 4183
Hlavní autoři:	Hou, Nan, Wang, Zidong, Dong, Hongli, Hu, Jun, Liu, Xiaohui
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	Piscataway IEEE 01.11.2022 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Témata:	Binary encoding scheme complex networks Delays Encoding Errors Estimation Fault diagnosis fault estimation innovation saturations Innovations Linear matrix inequalities Measurement uncertainty Random variables Sensors Stochastic processes Strings Symmetric matrices time-varying delays Time-varying systems
ISSN:	2327-4697, 2334-329X
On-line přístup:	Získat plný text
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