A novel method to identify nonlinear dynamic systems

Ching Hung Lee, Ching Cheng Teng

研究成果: Conference contribution同行評審

摘要

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.

原文English
主出版物標題European Control Conference, ECC 1999 - Conference Proceedings
發行者Institute of Electrical and Electronics Engineers Inc.
頁面2530-2535
頁數6
ISBN(電子)9783952417355
DOIs
出版狀態Published - 24 3月 2015
事件1999 European Control Conference, ECC 1999 - Karlsruhe, Germany
持續時間: 31 8月 19993 9月 1999

出版系列

名字European Control Conference, ECC 1999 - Conference Proceedings

Conference

Conference1999 European Control Conference, ECC 1999
國家/地區Germany
城市Karlsruhe
期間31/08/993/09/99

指紋

深入研究「A novel method to identify nonlinear dynamic systems」主題。共同形成了獨特的指紋。

引用此