ChatGPT is surprisingly good at piloting spacecraft, according to a team that trained it to participate in a simulated ...

A machine learning approach leverages nuclear microreactor symmetry to reduce training time when modeling power output ...

The proposed control system calculates the necessary adjustment based on a predictive model for the output thickness. This model permits to overcome the time delay that exists in such processes and ...

In contrast, model predictive control (MPC) offers significant advantages by utilizing a process model to predict future behavior and optimize control actions in real-time. This capability allows MPC ...

Model predictive control (MPC) has emerged as a predominant method in the realm of control systems; yet, it faces distinct challenges. First, MPC often hinges on the availability of a precise and ...

Model predictive control (MPC) is a cutting-edge control technique, but its susceptibility to inaccuracies in the model remains a challenge for embedded systems. In this study, we propose a ...

Despite its numerous advantages, Model Predictive Control (MPC) presents several challenges that require further investigation, including feasibility, nonlinearity, closed-loop stability, and ...