Abstract: Adaptive current-mode control is well known for its robustness against load disturbances, while one-cycle control offers strong tolerance to input disturbances. Combining the advantages of ...
More engineers are turning to reinforcement learning to incorporate adaptive and self-tuning control into industrial systems. It aims to strike a balance between traditional ...
Abstract: This research considers the problem of event-based adaptive fault-tolerant control for nonlinear cyber-physical systems with deception attacks and actuator faults via intermittent available ...
Discover Conair's AI-driven Conveying with Optimizer™ system that automatically optimizes vacuum conveying for plastics, eliminating manual adjustments, preventing clogs, and boosting ...
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