Applying model-predictive methods and a continuous process-control framework to a continuous tablet-manufacturing process. Currently, there is a high level of interest in the pharmaceutical industry ...

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 ...

Manufacturers have taken notice, and many more are implementing MPC into their plants and reaping benefits.Can MPC completely displace PID in a control engineer’s toolbox? Of course not. There are ...

Abstract: This paper investigates the distributed consensus control problem for linear multiagent systems with unknown system parameters. First, a time-varying estimation system is designed to ...

Abstract: Model predictive control (MPC) has attracted considerable interest for its ability to generate optimal control strategies, yet its application to nonlinear systems is often constrained by ...

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 ...

Image of digital twin control, in which real plasma is controlled by virtual plasma reproduced on a computer. In this research, we developed a digital twin control system that can estimate optimal ...

To improve the dynamic response performance of a high-flow electro-hydraulic servo system, scholars have conducted considerable research on the synchronous and time-sharing controls of multiple valves ...

Electrical machines consume nearly half of all the electrical power generated worldwide, making them one of the top contributors to carbon dioxide emissions. If we are to develop sustainable societies ...