Among these, instruction-tuning datasets (ITDs) used for instruction fine-tuning have been pivotal in enhancing LLM performance and generalization capabilities across diverse tasks. This tutorial ...

OS-R1 is an agentic Linux kernel tuning framework that leverages reinforcement learning (RL) and large language models (LLMs) for efficient kernel configuration. It introduces a rule-based RL approach ...

Abstract: The suspension system in electromagnetic suspension maglev trains is highly nonlinear and sensitive to uncertainties, noise, and disturbances, making it quite challenging to design the ...

Abstract: For the efficiency optimization problem of wireless power transfer system, the most important thing is that the frequency tracking control is needed to make the system work in a resonant ...

MATLAB, Simulink and Python implementation of Active Disturbance Rejection Control with Extended State Observer, Tracking Differentiator, input delay compensation, and control saturation.