An Approach of Adaptive Fuzzy Modeling and Application to Inverted Pendulum Control

Author

Guo, Zhenkai ; Mao, Jianqin ; Wang, Ping

Author_Institution

The Seventh Res. Div., Beijing Univ. of Aeronaut. & Astronaut.

Volume

1

fYear

0

fDate

0-0 0

Firstpage

1594

Lastpage

1598

Abstract

An approach of adaptive fuzzy modeling based parameter optimization fuzzy tree for a class of nonlinear time-invariant systems is proposed, fuzzy state equation model based on the adaptive fuzzy tree algorithm is created, which is used to partition the workspace of nonlinear system adaptively. The model obtained by this new method is more accuracy and lower computational cost. The new method is applied to model and control the inverted pendulum system; the numerical simulation shows that the method is effective

Keywords

adaptive control; fuzzy control; fuzzy set theory; nonlinear control systems; pendulums; position control; time-varying systems; trees (mathematics); adaptive fuzzy modeling; adaptive fuzzy tree; adaptive partitioning; fuzzy state equation; inverted pendulum control; nonlinear system; nonlinear time-invariant systems; parameter optimization; Adaptive control; Computational efficiency; Electronic mail; Fuzzy control; Fuzzy systems; Nonlinear control systems; Nonlinear equations; Nonlinear systems; Partitioning algorithms; Programmable control; adaptive fuzzy modeling; adaptively partition; inverted pendulum; parameter optimization fuzzy tree;

fLanguage

English

Publisher

ieee

Conference_Titel

Intelligent Control and Automation, 2006. WCICA 2006. The Sixth World Congress on

Conference_Location

Dalian

Print_ISBN

1-4244-0332-4

Type

conf

DOI

10.1109/WCICA.2006.1712620

Filename

1712620