In this paper, the concept of a model reference adaptive control of a sensorless induction
motor (IM) drive with elastic joint is proposed. An adaptive speed controller uses fuzzy …

A self-constructing fuzzy neural network (SCFNN) which is suitable for practical
implementation is proposed. The structure and the parameter learning phases are …

In this paper, the dynamic responses of a recurrent-fuzzy-neural-network (RFNN) sliding-
mode-controlled permanent-magnet (PM) synchronous servo motor are described. First, a …

Proton exchange membrane fuel cell systems are promising technologies for the integration
of renewable energy. They pave the way for further emission-reduction and energy …

In the paper a robust control system with the fuzzy-neural network is proposed. A model
reference adaptive control system is applied to the one-and two-mass systems. Different …

As an important driving element, the pneumatic cylinder is widely used in industrial
applications due to its reliability, low cost and excellent performance in an industrial servo …

Artificial intelligence (AI) and Biologically-inspired techniques, particularly the neural
networks, are recently having significant impact on power electronics and electric drives …

In this paper, we propose a novel minimum-energy point-to-point (PTP) trajectory planning
method for a motor-toggle servomechanism, which is described by the mathematical model …

A magnetic-levitation (maglev) transportation system including levitation and propulsion
control is a subject of considerable scientific interest because of highly nonlinear and …

This paper presents a real-time implementation of an improved emotional controller for
induction motor (IM) drives. The proposed controller is called brain-emotional-learning …