Abstract: This study focuses on the problem of disturbance rejection in nonlinear repetitive-control systems. The conventional method for rejecting disturbance based on equivalent-input-disturbance ...
Abstract: Adversarial attacks craft adversarial examples (AEs) to fool convolution neural networks. The mainstream gradient-based attacks, based on first-order optimization methods, encounter ...
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