Adaptive control using interval Type-2 fuzzy logic for uncertain nonlinear systems

被引：16
作者：
Zhou Hai-bo [1 ,2 ]
Ying Hao [3 ]
Duan Ji-an [1 ,2 ]
机构：
[1] Cent S Univ, Sch Mech & Elect Engn, Changsha 410083, Peoples R China
[2] Cent S Univ, State Key Lab High Performance & Complex Mfg, Changsha 410083, Peoples R China
[3] Wayne State Univ, Dept Elect & Comp Engn, Detroit, MI 48202 USA
来源：
JOURNAL OF CENTRAL SOUTH UNIVERSITY OF TECHNOLOGY | 2011年 / 18卷 / 03期
基金：
国家高技术研究发展计划(863计划); 中国国家自然科学基金;
关键词：
Type-2 fuzzy systems; adaptive fuzzy control; nonlinear systems; stability;
D O I：
10.1007/s11771-011-0760-0
中图分类号：
TF [冶金工业];
学科分类号：
0806 ;
摘要：
A new adaptive Type-2 (T2) fuzzy controller was developed and its potential performance advantage over adaptive Type-1 (T1) fuzzy control was also quantified in computer simulation. Base on the Lyapunov method, the adaptive laws with guaranteed system stability and convergence were developed. The controller updates its parameters online using the laws to control a system and tracks its output command trajectory. The simulation study involving the popular inverted pendulum control problem shows theoretically predicted system stability and good traaking performance. And the comparison simulation experiments subjected to white noise or step disturbance indicate that the T2 controller is better than the T1 controller by 0-18%, depending on the experiment condition and performance measure.
引用
收藏
页码：760 / 766
页数：7
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