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Design of twin delayed deep deterministic policy gradient RL based adaptive controller for DC motor speed regulation considering uncertainties

Abstract Reinforcement learning offers efficient solutions for optimizing complex decision-making tasks through continuous state-action-reward cycle with real-time adaptability. This work presents twin delayed deep deterministic (TD3) policy gradient RL based adaptive speed controller for the DC mot...

Täydet tiedot

Tallennettuna:
Päätekijät: P. Gaur, V. P. Singh, T. Varshney, P. Sanjeevikumar, A. Mathur
Aineistotyyppi: Artigo
Kieli:Inglês
Julkaistu: Nature Portfolio 2026-01-01
Sarja:Scientific Reports
Aiheet:
Reinforcement learning
TD3 Algorithm
FOPDT model
DC motor
Speed regulation
Convergence curve
Linkit:https://doi.org/10.1038/s41598-025-33644-w
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