A generalized fuzzy hyperbolic modeling and control scheme

Author

Zhang, Mingjun ; Zhang, Huaguang ; Liu, Derong

Author_Institution

Sch. of Inf. Sci. & Eng., Northeastern Univ., Shenyang, China

Volume

3

fYear

2004

fDate

25-29 July 2004

Firstpage

1203

Abstract

A new generalized fuzzy hyperbolic model (GFHM) is proposed, which is proved to be a universal approximator. GFHM can be used as identifier for nonlinear dynamic systems and the back-propagation training algorithm is given. The feature of GFHM is that as the number of input variables or (and) fuzzy subsets increases, the number of the unknown parameters of GFHM would increase linearly. Finally, the adaptive fuzzy control scheme is presented, which can guarantee that the closed-loop system is globally asymptotically stable. The simulation results show the applicability of the modeling scheme and the effectiveness of the proposed adaptive control scheme.

Keywords

adaptive control; asymptotic stability; backpropagation; closed loop systems; fuzzy control; fuzzy set theory; nonlinear dynamical systems; adaptive fuzzy control; back-propagation training algorithm; closed-loop system; fuzzy subsets; generalized fuzzy hyperbolic model; globally asymptotical stability; nonlinear dynamic system; Adaptive control; Electronic mail; Fuzzy control; Fuzzy sets; Fuzzy systems; Information science; Input variables; Nonlinear control systems; Nonlinear systems; Programmable control;

fLanguage

English

Publisher

ieee

Conference_Titel

Fuzzy Systems, 2004. Proceedings. 2004 IEEE International Conference on

ISSN

1098-7584

Print_ISBN

0-7803-8353-2

Type

conf

DOI

10.1109/FUZZY.2004.1375334

Filename

1375334