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...

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Autori principali:	P. Gaur, V. P. Singh, T. Varshney, P. Sanjeevikumar, A. Mathur
Natura:	Artigo
Lingua:	Inglês
Pubblicazione:	Nature Portfolio 2026-01-01
Serie:	Scientific Reports
Soggetti:	Reinforcement learning TD3 Algorithm FOPDT model DC motor Speed regulation Convergence curve
Accesso online:	https://doi.org/10.1038/s41598-025-33644-w
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