The integration of digital twin technology into wind turbine maintenance represents a significant advancement in the renewable energy sector. By enabling real-time monitoring and predictive analytics, ...

Models rewrite code to avoid being shut down. That’s why ‘alignment’ is a matter of such urgency.

Model Predictive Control (MPC) is a widely used optimization-based control strategy for constrained systems. MPC relies on the repeated online solution of an optimal control problem, which determines ...

The model’s predictive accuracy was assessed based on the average performance metrics across validation folds, including MAE, MSE, RMSE, and R² score. The optimized model’s performance before and ...

On Wednesday, Microsoft Research introduced Magma, an integrated AI foundation model that combines visual and language processing to control software interfaces and robotic systems. If the results ...

This paper shows how explicit model predictive control (MPC) strategies can be implemented in Python. They use a pre-calculated map between state measurements and control inputs to simplify and ...

TensorDL-MPC is a software toolkit developed based on the Python and TensorFlow frameworks, designed to enhance the performance of traditional Model Predictive Control (MPC) through deep learning ...

Star 853 Code Issues Pull requests Discussions PythonLinearNonLinearControl is a library implementing the linear and nonlinear control theories in python. reinforcement-learning mpc optimal-control ...