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

Bibliographic details on Neural Network Adaptive L2 Robust Control for Induction Motors.

Jan 1, 2008 · Neural Network Adaptive L2 Robust Control for Induction Motors ; Speed-sensorless sliding-mode torque control of an induction motor. Rodic M., ...

An adaptive L2 robust control method based on neural networks is proposed for modern induction motors. Using backstepping, the adaptive L2 robust controllers ...

This paper focuses on adaptive control problem of induction motors using neural networks (NNs). By introducing the dynamic surface technique that reduces ...

Abstract. The position tracking control of induction motors with parameter uncer- tainties and load torque disturbance is addressed. Neural networks are ...

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

In this section, we will present an adaptive neural control for induction motors ... Lewis, Robust backstepping control of induction motors using neural networks,.

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