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

• 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

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...