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Adaptive reinforcement learning-based tuning of neural PID controllers for nonlinear systems

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Journal of Vibration and Control

Published online on

Abstract

Journal of Vibration and Control, Ahead of Print.
This paper introduces a novel adaptive tuning strategy for a neural network-based PID (NNPID) controller that leverages reinforcement learning (RL) to enhance control performance in nonlinear systems. Unlike conventional NNPID approaches that rely on ...