One-step-ahead adaptive control for a general class of nonlinear dynamic systems based on fuzzy models

Author

Wan, Feng ; Wang, Li-Xin ; Sun, Youxian

Author_Institution

Dept. of Electr. & Electron. Eng., Hong Kong Univ. of Sci. & Technol., Kowloon, China

Volume

6

fYear

2001

fDate

2001

Firstpage

4782

Abstract

A one-step-ahead adaptive control scheme based on fuzzy models is presented for a class of nonlinear dynamic systems which have no restriction on the structure. The specific features of the fuzzy systems are taken into consideration. The proposed method has the following properties: 1) by properly designing the fuzzy system, the modeling error converges to an error band which can be made arbitrarily small; and 2) with mild assumptions, the tracking error of the closed-loop system is guaranteed within an ε-neighborhood of zero and the stability is ensured. Tests on the data from a real steel-heating furnace are given to show the effectiveness of the scheme

Keywords

adaptive control; autoregressive moving average processes; closed loop systems; furnaces; fuzzy control; nonlinear dynamical systems; steel industry; temperature control; adaptive control; closed-loop system; fuzzy models; modeling error; nonlinear ARMA model; nonlinear dynamic systems; steel heating furnace; Adaptive control; Autoregressive processes; Control systems; Electrical equipment industry; Feedback; Fuzzy control; Fuzzy systems; Nonlinear control systems; Nonlinear dynamical systems; Nonlinear systems;

fLanguage

English

Publisher

ieee

Conference_Titel

American Control Conference, 2001. Proceedings of the 2001

Conference_Location

Arlington, VA

ISSN

0743-1619

Print_ISBN

0-7803-6495-3

Type

conf

DOI

10.1109/ACC.2001.945738

Filename

945738