  In this paper the use of artificial neural network in power system stability
is studied. A predictive controller based on two neural networks is designed
and tested on a single machine infinite bus system which is used to replace
conventional power system stabilizers. They have been used for decades in power
system to dampen small amplitude low frequency oscillation in power systems.
The increases in size and complexity of power systems have cast a shadow on
efficiency of conventional method. New control strategies have been proposed in
many researches. Artificial Neural Networks have been studied in many
publications but lack of assurance of their functionality has hindered the
practical usage of them in utilities. The proposed control structure is
modelled using a novel data exchange established between MATLAB and
