Adjustable speed induction generators, especially the doubly fed induction generators
(DFIG), are becoming increasingly popular due to their various advantages over fixed speed …

This paper surveys how some" intelligence" can be incorporated in sliding-mode controllers
(SMCs) by the use of computational intelligence methodologies in order to alleviate the well …

This paper proposes an approach of cooperative control that is based on the concept of
combining neural networks and the methodology of sliding mode control (SMC). The main …

On-line learning algorithms for artificial neural networks (ANNs) are expected to adapt
network parameters in order to face new control situations. A new on-line learning algorithm …

A new approach for induction motor drive control is presented in this paper. The new
scheme is based on the direct application of an artificial neural network, trained with sliding …

An induction generator (IG) speed drive with the application of a sliding mode controller and
a proposed artificial neural network (ANN) controller is introduced in this paper. Grid …

Based on the classical backpropagation weight update equations, sliding mode control
theory is introduced as a technique to adapt weights of a multi-layer perceptron. As will be …

In this paper, decoupled neural fuzzy sliding-mode control design method for highly
nonlinear systems is proposed. The decoupled control method provides a simple way to …

This thesis deals with the industrial application of sliding mode controllers. Sliding mode
controllers based on both linear models and nonlinear-models are considered. Special …

The Pareto-optimality concept is used in this paper in order to represent a constrained set of
solutions that are able to trade-off the two main objective functions involved in neural …