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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Bibliographic Details
Published in:	IEEE transactions on network science and engineering Vol. 9; no. 6; pp. 4171 - 4183
Main Authors:	Hou, Nan, Wang, Zidong, Dong, Hongli, Hu, Jun, Liu, Xiaohui
Format:	Journal Article
Language:	English
Published:	Piscataway IEEE 01.11.2022 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects:	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
Online Access:	Get full text
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