Rotor resistance and excitation inductance estimation of an induction motor using deep-Q-learning algorithm
Author:
Publisher
Elsevier BV
Subject
Electrical and Electronic Engineering,Artificial Intelligence,Control and Systems Engineering
Reference28 articles.
1. Application of support vector machines to the induction motor parameters identification;Bilski;Measurement,2014
2. Deisenroth, M.P., Rasmussen, C.E., 2009. Efficient reinforcement learning for motor control. In: International Phd Workshop on Systems and Control.
3. Parameters identification of a brushless doubly fed induction machine using PRBS excitation signal for recursive least squares method;Djadi;IET Electr. Power Appl.,2017
4. Online stator and rotor resistance estimation scheme using artificial neural networks for vector controlled speed sensorless induction motor drive;Karanayil;IEEE Trans. Ind. Electron.,2007
5. A Novel Q-learning based adaptive optimal controller implementation for a humanoid robotic arm *;Khan;IFAC Proc.,2011
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