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Abstract: This work presents a supervised machine-learning (ML) approach for blind digital calibration of SAR ADCs without requiring prior knowledge of errors. A 2-layer neural network learns the ...
Abstract: Ensuring both safety and fault tolerance in reinforcement learning (RL)-based control systems is critical for their deployment in aerospace systems. In this context, the aim of this work is ...