A new study reveals a noninvasive BCI framework that aligns human neuroplasticity with AI to match invasive accuracies.
Abstract: Conventional proportional-integral-derivative (PID) controllers face fundamental limitations in handling unknown nonlinearities and coupling effects, often requiring manual tuning or complex ...
Abstract: This paper presents novel methods for tuning inverter controller gains using deep reinforcement learning (DRL). A Simulink-developed inverter model is converted into a dynamic-link-library ...
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