IEEE

Optimized PI/PD/PID Controller Design for DC Motor Speed Control: A Comparative Study of Random Forest-Based Tuning & Classical Methods

Abstract: This Study explores ways to improve the speed of DC motors through comparison of traditional tuning methods, viz. Ziegler-Nichols and Cohen-Coon with a machine learning approach using Random ...
IEEE

Autonomous PID Tuning: Two-Phase Reinforcement Learning Through Adversarial Imitation Learning Under Imperfect Demonstrations

Abstract: This paper presents stable reinforcement learning through adversarial imitation learning (SRAIL), a two-phase learning framework for automatic proportional integral derivative (PID) tuning ...