A neural network adaptive L 2 robust control method is proposed for induction motors. The proposed controllers are combined with a rotor flux observer.

A neural network adaptive L2 robust control method is proposed for induction motors. The proposed controllers are combined with a rotor flux observer.

The simulation results indicate that the proposed neural network adaptive L2 robust control method is robust to the considered uncertainties of the ...

Wei Chen, Yaonan Wang: Neural Network Adaptive L2 Robust Control for Induction Motors. ICNC (3) 2008: 474-479. a service of Schloss Dagstuhl - Leibniz ...

The problem of specifying a desired torque trajectory to achieve speed tracking in passivity-based control of induction motors is addressed.

This paper proposes a speed sensorless neural network robust adaptive control scheme, which is robust to stator resistance and load torque of induction ...

Neural Network Adaptive L2 Robust Control for Induction Motors · Real time implementation of backstepping controller in indirect field oriented control of ...

Chen · Y.-N. Wang. An adaptive L2 robust control method based on neural networks is proposed for modern induction motors. Using backstepping, the adaptive L2 ...

Mar 8, 2017 · Abstract: In this study, neural networks approximation-based command filtered adaptive control is studied for induction motors.

Feb 16, 2024 · In this paper, a novel methodology is introduced for the inverse optimal control of non-affine, nonlinear and discrete-time systems.