To overcome the drawbacks of the traditional chaos control method (CC), such as non-convergence, inefficiency and repeated adjustment of control factor, a new method named adaptively active set-based ...
A nonlinear model predictive control system developed by researchers at Sartorius is making fully-continuous biomanufacturing ...
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 ...
A flying robot with just one moving part may sound simple. Controlling one precisely is anything but. Most conventional drones rely on several rotors to control how they rise, turn and move. A robot ...
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 ...
Expert insights reveal critical strategies for coordinating predictive maintenance with safety instrumented systems while maintaining compliance and preventing dangerous operational conflicts. Safety ...
Ferrari is arguably the automaker most obsessed with race-bred performance, long a fixture in F1 and a constant presence in the World Endurance Championship (WEC) and other global series. In ...