A novel approach from the Allen Institute for AI enables data to be removed from an artificial intelligence model even after ...

Researchers from Google DeepMind introduced Diffusion Model Predictive Control (D-MPC), an approach that integrates multi-step action proposals and dynamics models using diffusion models for online ...

The intent is to add feedforward control to the existing feedback scheme. This comprises a fuel-to-feed ratio algorithm; as the feed rate changes, the fuel is changed in proportion. However, we need ...

In the first of a two-parter on feedforward control, Myke King explains the basics THE PID (proportional integral derivative) controller is a feedback controller in that it can only take corrective ...

Explore how AI feedback loop can help maintain model quality, enhance efficiency, and improve performance in the wake of generative AI.

We all receive feedback from time to time. But are we able to process it and make the most of it? Not always. Processing feedback goes far beyond listening to it in the moment and implementing it ...

Based on the distributed rear-wheel drive electric bus model, two typical driving conditions of double line shifting condition and slalom test at medium speed are selected to verify and analyze the ...

INTRODUCTION Model predictive control (MPC) is the most popular advanced control technique in the process industry. For more details about the wide acceptance of MPC see the survey paper by Garcia et ...

This paper presents a novel distributed secondary control method for both voltage and frequency regulation in islanded microgrids. Firstly, the large-signal dynamic model of inverter-interfaced ...