Abstract: Accurate controller tuning is important for ensuring optimal performance in flow control processes, particularly onboard ships, where precise control of fluid systems such as oil, gas, and ...

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, ...