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 ...

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 ...

This article presents the development of coordinated control of throttle, spark advance, and variable valve timing (VVT) in a model predictive control (MPC) framework for engine idle speed control ...

Researchers adapt model predictive control from engineering to epidemic response, balancing health and economic costs under ...

The current path tracking control method is usually based on the steering wheel angle loop, which often makes the driver lose control of the automatic driving control loop. In order to involve the ...

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 ...

The air conditioner compressor motor driver as shown in Fig.1 utilizes advanced model-free predictive control technology, ensuring efficient and stable operation under varying load conditions.

An international research team has tested a hybrid control technique combining adapted perturb and observe (APO) with model-predictive control to address complex partial shading in solar arrays. The ...

Researchers at Durham University have developed a new system that enables drones to fly in precisely coordinated swarm ...