Model predictive control (MPC) has emerged as a pivotal strategy in the control of complex industrial, automotive and energy systems. By solving an optimisation problem over a finite horizon, MPC ...

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 ...

A new physics-based algorithm clears a path toward nuclear microreactors that can autonomously adjust power output based on ...

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

Applications of machine learning and other forms of artificial intelligence have been recognized in robotics and analytics. Now the technology is adding some spice to basic control applications. Using ...

Jared Ecker is a researcher and fact-checker. He possesses over a decade of experience in the Nuclear and National Defense sectors resolving issues on platforms as varied as stealth bombers to UAVs.

Dollar spot is one of the most economically important diseases for golf courses around the world. Traditional fungicide application programs are preventive on calendar-based intervals or curative ...