This paper presents a reinforcement learning (RL)-based approach for dynamically adjusting the gains of a proposed PID controller using an actor-critic framework. To enhance computational efficiency, ...

Abstract: Hydropower dominated systems often experience negative damping and severe power flow oscillations due to improperly tuned governor parameters, even with power system stabilizers.

AI can be added to legacy motion control systems in three phases with minimal disruption: data collection via edge gateways, non-interfering anomaly detection and supervisory control integration.