The authors present a novel approach to control this kind of motor. Modifying published results for nonlinear identification using dynamic neural networks, they propose a new neural network identifier of triangular form. Based on this model a new control law, which combines sliding mode and block control is derived. This new neural identifier and the proposed control law allow trajectory tracking for induction motors. Applicability of the approach is tested via simulations.