Data-based security fault tolerant iterative learning control under denial-of-service attacks

HIGHLIGHTS

• who: Zengwei Li et al. from the Shandong Key Laboratory of Industrial Control Technology, School of Automation, Qingdao University have published the research: Data-Based Security Fault Tolerant Iterative Learning Control Under Denial-of-Service Attacks, in the Journal: Actuators 2022, 11, 178. of /2022/
• what: 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-ofservice (DoS) Firstly the radial basis function neural network (RBFNN) is used to approximate the sensor failure function and a DoS attack compensation . . .
  

   

  

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