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...
Main Authors: | Che, W. (Author), Deng, C. (Author), Jin, X. (Author), Li, Z. (Author), Zhou, C. (Author) |
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Format: | Article |
Language: | English |
Published: |
MDPI
2022
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Subjects: | |
Online Access: | View Fulltext in Publisher |
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