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 ...

C reators of the iconic iRonCub3 have introduced a new control method that helps the jet-powered humanoid robot stay stable ...

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 ...

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

Metal-organic (MO) precursors are the chemical building blocks at the heart of atomically precise complex oxide materials.

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 ...

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.

New model harnesses machine learning and 15Five’s vast dataset spanning 6 years, 30 million responses and thousands of organizations SAN FRANCISCO--(BUSINESS WIRE)--15Five, the strategic performance ...