Abstract: Training deep neural networks (DNNs) with altered data, known as adversarial training, is essential for improving their robustness. A significant challenge emerges as the robustness ...

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Abstract: The existing observer-based fault estimation methods for dynamic systems rarely consider the internal stochastic parametric uncertainty, limiting the reliability in practical applications.