Long stator linear synchronous motor (LSLSM) has been considered in the traction of high-speed maglev train, while its control with multi-mode modulation become quite complicated. The model predictive ...

In model predictive control strategies, the cost function selection is the most relevant aspects to obtain a good performance of the full system. In this paper a study of the most common cost ...

MPC, or Model Predictive Control, is an advanced control strategy that uses a mathematical model and predictions of future behavior to optimize control actions over a finite time horizon. It is widely ...

Keywords: adaptive model predictive control (MPC), combination therapies, cybergenetics, external feedback control, non-small cell lung cancer (NSCLC) Citation: Smart B, de Cesare I, Renson L and ...

The closed-loop system’s performance in synthesizing model predictive control (MPC) heavily relies on the model used for prediction. In continuously operating plants, a linear model-based MPC is ...

Keywords: model predictive control, data-driven MPC, nano system, robust control, NSG theorem. Citation: Alsubaie H (2023) A neural state-space-based model predictive technique for effective vibration ...

Model Predictive Control (MPC), or receding horizon control, aims to maximize an objective function over a planning horizon by leveraging a dynamics model and a planner to select actions. The ...

The NN Predictive Controller block was used for training, which can be described as follows - Develop the model file in Simulink; Define Hyperparameters of the neural network training process; ...