Real-time Discrete Backstepping Neural Control for Induction Motors

This brief focuses on real-time implementation, as applied to a three-phase induction motor, of results already published in 2007. The proposed controller is based on a high-order neural network, trained online using Kalman filter learning, to approximate a control law designed by the backstepping technique.