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Nguyen Duy Khanh
Industrial University of Ho Chi Minh City
Computer Science & IT Electrical & Electronics Engineering

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Journal : International Journal of Electrical and Computer Engineering

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Black-box modeling of nonlinear system using evolutionary neural NARX model Nguyen Ngoc Son; Nguyen Duy Khanh; Tran Minh Chinh
International Journal of Electrical and Computer Engineering (IJECE) Vol 9, No 3: June 2019
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (629.891 KB) | DOI: 10.11591/ijece.v9i3.pp1861-1870

Abstract

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.
Co-Authors Nguyen Ngoc Son Tran Minh Chinh