CORDIS Project
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This project introduces a new control design approach that integrates machine learning with the physics of dynamic systems. By utilizing distributionally robust optimization, it aims to improve decision-making under uncertainty in control systems, enhancing their reliability and efficiency.
Recent developments in sensing and communication technology offer unprecedented opportunities by ubiquitously collecting data at high detail and at large scale.
Utilization of data at these scales, however, poses a major challenge for control systems, particularly in view of the additional inherent uncertainty that data-driven control signals introduce to systems behavior.
In fact, this effect has not been well understood to this date, primarily due to the missing link between data analytics tec…
TECHNISCHE UNIVERSITEIT DELFT
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