Black-box modeling of nonlinear system using evolutionary neural NARX model

Nguyen Ngoc Son (Industrial University of Ho Chi Minh City)
Nguyen Duy Khanh (Industrial University of Ho Chi Minh City)
Tran Minh Chinh (Industrial University of Ho Chi Minh City)

International Journal of Electrical and Computer Engineering
Vol 9, No 3: June 2019

Nonlinear systems with uncertainty and disturbance are very difficult to model using mathematic approach. Therefore, a black-box modeling approach without any prior knowledge is necessary. There are some modeling approaches have been used to develop a black box model such as fuzzy logic, neural network, and evolution algorithms. In this paper, an evolutionary neural network by combining a neural network and a modified differential evolution algorithm is applied to model a nonlinear system. The feasibility and effectiveness of the proposed modeling are tested on a piezoelectric actuator SISO system and an experimental quadruple tank MIMO system.