@inproceedings{6f3b8dcdaea34ac7bcb0897d1609de22,
title = "A novel method to identify nonlinear dynamic systems",
abstract = "This paper presents a new method for identifying a nonlinear system using the Hammerstein model. Such model consists of static nonlinear part and linear dynamic part in a cascading structure. The static nonlinear part is modeled by a fuzzy neural network (FNN), and the linear dynamic part is modeled by an auto-regressive moving average (ARMA) model. Based on our approach, a nonlinear dynamical system can be divided into two parts, a nonlinear static function and an ARMA model. Furthermore, a simple learning algorithm is developed for obtaining the parameters of FNN and ARMA model. In addition, the convergence analysis for the cascade model (FNN+ARMA) is also studied by the Lyapunov approach. A simulation result is given to illustrate the effectiveness of the proposed method. Simulation result also demonstrates that this approach is useful for systems with disturbance input.",
keywords = "Fuzzy neural network, Hammerstein model, Identification, Nonlinear systems",
author = "Lee, \{Ching Hung\} and Teng, \{Ching Cheng\}",
note = "Publisher Copyright: {\textcopyright} 1999 EUCA.; 1999 European Control Conference, ECC 1999 ; Conference date: 31-08-1999 Through 03-09-1999",
year = "2015",
month = mar,
day = "24",
doi = "10.23919/ecc.1999.7099704",
language = "English",
series = "European Control Conference, ECC 1999 - Conference Proceedings",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "2530--2535",
booktitle = "European Control Conference, ECC 1999 - Conference Proceedings",
address = "美國",
}