Robust and Adaptive Fuzzy Feedback Linearization Regulator Design

被引：0
|
作者：
Park, Chang-Woo [1 ]
Kim, Young-Ouk [2 ]
Yi, Chong Ho [1 ]
机构：
[1] INHA Tech Coll, Dept Digital & Informat, 253 Yonghyun Dong, Inchon, South Korea
[2] Intelligent Robot Res Ctr, Korea Electron Technol Inst, Gyeonggi, South Korea
来源：
ADVANCED INTELLIGENT COMPUTING THEORIES AND APPLICATIONS, PROCEEDINGS: WITH ASPECTS OF ARTIFICIAL INTELLIGENCE | 2008年 / 5227卷
关键词：
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
In this paper, we have proposed a new adaptive fuzzy control algorithm and the regulation problem based on Takagi-Sugeno fuzzy model. The regulation problem for the uncertain SISO nonlinear system is solved by the proposed algorithm. Using the advanced stability theory, the stability of the state, the control gain and the parameter choosing considering the approximation error due to the fuzzy modeling is proved. Some numerical examples are presented to verify the effectiveness of the proposed methods.
引用
收藏
页码：476 / +
页数：3
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