Model Predictive Control (MPC) has emerged as a leading strategy in advanced process control, offering the ability to anticipate future process behaviour and manage constraints in dynamic systems.

Economic Model Predictive Control (EMPC) represents an evolution of traditional control strategies, where the primary objective is to directly optimise an economic cost function rather than merely ...

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 ...

Modern power system is undergoing profound transformation driven by high new energy penetration, where electric machines and power electronic converters act ...

C reators of the iconic iRonCub3 have introduced a new control method that helps the jet-powered humanoid robot stay stable and follow flight paths in simulation, a step forward for efforts to combine ...

The operating profiles of traditional generators has changed to manage the variability of renewable resources. Several critical processes were not engineered to manage these highly variable operating ...

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 ...

Scientists in Japan have used a deep reinforcement learning–based AI model to calculate discrepancies between the planned and actual electricity supply volumes in PV-battery systems operating in ...

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 ...