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 ...

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 ...

Distributed model predictive control (DMPC) offers a computationally efficient alternative to centralized model predictive control (CMPC) for enabling the optimal control of industrial process systems ...

Predictive analytics is the study of historical data to make future predictions. It is a data analysis method that uses past ...

Models built on machine learning in health care can be victims of their own success, according to researchers. Their study assessed the impact of implementing predictive models on the subsequent ...

Intelligent agriculture requires precise, real-time control of diverse systems ranging from greenhouse climates to autonomous ...

Jet-powered humanoid iRonCub achieves simulated flight stability, paving the way for disaster-response and advanced robotics applications.

Consumer confidence in driving hydrogen-fueled vehicles could be improved by having station operators adopt a predictive model that helps them anticipate maintenance needs, according to researchers.