Abstract: A reinforcement learning (RL) based approach is proposed for PID controller fine-tuning and parameter estimation for effective and accurate tracking of a helix trajectory considering ...
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 ...
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