Data-Based Security Fault Tolerant Iterative Learning Control Under Denial-of-Service Attacks

Data-Based Security Fault Tolerant Iterative Learning Control Under Denial-of-Service Attacks

This paper mainly studies the data-based security fault tolerant iterative learning control (SFTILC) problem of nonlinear networked control systems (NCSs) under sensor failures and denial-of-service (DoS) attacks. Firstly, the radial basis function neural network (RBFNN) is used to approximate the s...

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Bibliographic Details
Main Authors: Che, W. (Author), Deng, C. (Author), Jin, X. (Author), Li, Z. (Author), Zhou, C. (Author)
Format: Article
Language:English
Published: MDPI 2022
Subjects:
data-based
DoS attacks
fault tolerant control
iterative learning control
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