Abstract: In recent years, researchers have proposed the approximation of model predictive control (MPC) using deep neural networks (DNNs). However, a limitation arises as DNNs inherently offer one-to ...

Abstract: Real-world data of the operation of control systems is often scarce because experiments are expensive and time-consuming. We address the problem of synthetic data generation, namely, the ...