Paper is focused on the control of active magnetic bearing using improved version of Q-learning. The improvement subsists in separating Q-learning into two phases - efficient prelearning phase and tutorage phase working with real system.
Paper is focused on the control of active magnetic bearing using improved version of Q-learning. The improvement subsists in separating Q-learning into two phases - efficient prelearning phase and tutorage phase working with real system. (en)