More engineers are turning to reinforcement learning to incorporate adaptive and self-tuning control into industrial systems.
Advances in instrumentation, modeling and control are more fully understood and utilized when assisted by first-principle, ...
Statistical insights into machine learning analysis can help researchers evaluate model performance and may even provide new ...
The evolution of safety-critical autonomous systems, including agile drones and surgical robots, has fundamentally increased the demands for control design.
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