Model Predictive Control (MPC) has emerged as a pivotal strategy for optimising the performance of power electronic converters and motor drive systems. By utilising an explicit model of the controlled ...

Model Predictive Control (MPC) is a modern feedback law that generates the control signal by solving an optimal control problem at each sampling time. This approach is capable of maximizing a certain ...

本研究针对DC-DC升压变换器在变负载条件下传统PI控制器存在的振荡问题，创新性地实现了模型预测控制(MPC)算法的实时应用。通过建立电感电流预测模型和优化目标函数，显著提升了瞬态和稳态响应性能，实验证明MPC比PI控制器减少50%以上的电流纹波，为可再生 ...

A new technique able to forecast how changes to parameters will impact biomanufacturing processes could revolutionize drug production, save manufacturers time and money, and help increase access to ...

Model Predictive Control (MPC) has emerged as a versatile and robust strategy in modern control engineering, enabling controllers to predict future system behaviour and optimise performance over a ...

Distillation columns are extensively deployed in the chemical process industries when there is a need for separation of components that have different boiling points. Typically, a mixture of ...

he Rockwell Automation Pavilion8 Model Predictive Control application helps manufacturers achieve precision in a dynamic market, reducing product variability, while increasing yield and lowering ...

The study proposes a decentralised smart EV-grid integration framework that distributes control intelligence across local ...

Exploring the Frontiers of Model Predictive Control: Data-Driven Methods and Theoretical Foundations will take place on Wednesday 24 September 2025. The main entrance of the Sir Frederick Mappin ...

In this article, as in industry, advanced process control (APC) refers primarily to multi-variable control. Multivariable control means adjusting multiple single-loop controllers in unison, to meet ...