Amirreza Ebrahimzadeh sadat - Electrical Engineering Department, Imam Khomeini International University, Qazvin, Iran
Mehdi Rahmani - Electrical Engineering Department, Imam Khomeini International University, Qazvin, Iran

The aim of this paper is presenting a new structure based on a neural network for online regulating unknown systems which can be linear and nonlinear. Regulator design in this paper means that building a structure in order to have steady state zero response for any inputs. The proposed structure contains a modelling block based on neural network for unknown system and this block is trained with backpropagation algorithm. In addition, a predictive block is embedded before the unknown plant and a low-pass filter is also applied to reduce the high frequency components of the response at the beginning of the process.

Artificial neural network, Backpropagation Algorithm, Regulator, Plant Identification, Feedforward Neural Network.