Abstract: 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 ...
Motor control ICs deliver higher efficiency, along with AI/ML functionality for improvements in predictive maintenance.
Abstract: The paper offers a comparative performance evaluation of PSO-optimized PID controller and FLC methods in double-axis solar tracking systems. This is done through an extensive modeling ...
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