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 ...

In this paper, we present a stable receding horizon model predictive control for discrete-time nonlinear systems. The standard MPC scheme is modified to incorporate (1) a block implementation scheme ...

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; ...

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 ...

Three sets of simulation results are presented, which correspond to 1) the proposed Passivity-Based Nonlinear Model Predictive Control (PNMPC) approach with a storage terminal function and the ...

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 ...

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 ...