Title :
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.
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;
Conference_Titel :
Intelligent Control and Automation, 2006. WCICA 2006. The Sixth World Congress on
Conference_Location :
Dalian
Print_ISBN :
1-4244-0332-4
DOI :
10.1109/WCICA.2006.1712620
