Special two-stage input signal based neuro-fuzzy model for Hammerstein-Wiener processes. (2012)

• Record Type: Journal Article
• Authors: Jia, Li; Yang, Aihua; Chiu, Minsen
• Is Part Of: International journal of system control and information processing. Volume 1:Number 2(2012)
• Page Start: 199
• Page End: 218
• Publication Date: 2012
• Subjects: Hammerstein-Wiener process -- neuro-fuzzy-based model -- chemical process -- special input signal; System design -- Data processing -- Periodicals; Information technology -- Periodicals; 003.5
• Languages: English
• ISSNs: 1759-9334

Abstract

In this paper, a special two-stage input signal based neuro-fuzzy model for Hammerstein-Wiener processes is presented. The input and output non-linear static parts of the Hammerstein-Wiener process are described by two independent neuro-fuzzy models without any prior process knowledge, thus avoiding the inevitable restrictions on static non-linear function encountered by using the polynomial approach. To construct the neuro-fuzzy-based Hammerstein-Wiener model, special two-stage input signal is carried out, and an analytical solution is developed to calculate the parameters of the linear dynamic part and two static non-linear functions. Examples are used to illustrate the applicability of the proposed method and a comparison with polynomial approach is made.