TD3 algorithm.

<div><p>Enhancing the performance of 5ph-IPMSM control plays a crucial role in advancing various innovative applications such as electric vehicles. This paper proposes a new reinforcement learning (RL) control algorithm based twin-delayed deep deterministic policy gradient (TD3) algorith...

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Bibliographic Details
Main Author:	Ahmed M. Hassan (8893106) (author)
Other Authors:	Jafar Ababneh (20501230) (author), Hani Attar (20501233) (author), Tamer Shamseldin (20501236) (author), Ahmed Abdelbaset (20501239) (author), Mohamed Eladly Metwally (17811093) (author)
Published:	2025
Subjects:	Cell Biology Genetics Pharmacology Biotechnology Mathematical Sciences not elsewhere classified xlink "> enhancing relatively low values new reinforcement learning constant torque region constant power region reinforcement learning algorithm improving speed response obtained using four maximum overshoot percentage ipmsm control plays speed response overshoot percentage maximum time control methodology transit search settling time rise time paper proposes optimization techniques mpc ). max time main purpose four mhot electric vehicles dm ), crucial role
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TD3 algorithm.

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