Special Two-stage Input Signal based Neuro-fuzzy Model for Hammerstein –Wiener Processes
In this paper, special two-stage input signal based neuro-fuzzy model for Hammerstein-Wiener processes is presented. The input and output nonlinear 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 nonlinear 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 nonlinear functions. Examples are used to illustrate the applicability of the proposed method and a comparison with polynomial approach is made.
Hammerstein-Wiener process neuro-fuzzy-based model chemical process special input signal
Li JIA Aihua YANG Minsen CHIU
Shanghai Key Laboratory of Power Station Automation Technology, Department of Automation, College of National University of Singapore, Department of Chemical and Biomolecular Engineering, Singapore 117
国内会议
厦门
英文
1-8
2012-08-01（万方平台首次上网日期，不代表论文的发表时间）