In order to get satisfying performances using the Model Predictive Control (MPC), one must
find the suitable values of its tuning parameters. Usually in literature, this task is achieved …

Model Predictive Control (MPC) is based on the concept of receding horizon, the future
output prediction, and the minimization of a cost function to provide the optimal control …

模型预测控制(MPC) 权重参数的整定是其取得良好控制性能的关键. 针对基于双层结构多目标
优化的MPC 权重参数整定方法存在求解过程较慢, 耗时较长的问题, 提出了一种非线性规划整定 …

This paper presents the design of a model predictive controller (MPC) based on Laguerre
functions for vibration control. The controller is tested in a building‐like structure consisting …

In this paper, we study an adaptive method to select online the pole value for a Laguerre
scheme in Model Predictive Control (MPC) that yields high performance. It has been …

An aerial manipulator, that is an aerial robot such as a quadrotor, endowed with a robotic
manipulator, can extend the application of aerial robots by allowing the aerial robot to …

This paper presents the development of a distributed optimal model predictive control
(DOMPC) applied to a quadruple tank system. The DOMPC is based on an optimal model …

In this paper, an analytical tuning method for Takagi-Sugeno-model-based predictive control
(TSMPC) is presented. As an advantage, it can be applied to nonlinear multi-input-multi …

In the design of linear (model) predictive controllers (MPC), tuning plays a very important
role. However, there is a problem not yet fully resolved: how to determine the best strategy …

Dans un contexte industriel de recherche d'optimisation des performances des systèmes et
de rejet des perturbations, la commande prédictive (MPC) présente plusieurs avantages …