Stability Analysis and Controller Design of Discrete Interval Type-2 Fuzzy Systems

被引：0
|
作者：
Sheng, Long [1 ]
Li, Chunguang [2 ]
机构：
[1] Univ Elect Sci & Technol China, Sch Elect Engn, Chengdu 610054, Peoples R China
[2] Zhejiang Univ, Dept Informat Sci & Elect Engn, Hangzhou 310027, Peoples R China
来源：
2011 INTERNATIONAL CONFERENCE ON COMPUTERS, COMMUNICATIONS, CONTROL AND AUTOMATION (CCCA 2011), VOL III | 2010年
关键词：
fuzzy control; discrete interval type-2 fuzzy model; stability analysis; system uncertainty;
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：
This paper is concerned with the stability conditions of discrete interval type-2 (DIT2) fuzzy control systems. To investigate the system stability, an interval type-2 Takagi-Sugeno (T-S) fuzzy model is proposed to represent the nonlinear systems subject to system uncertainty. With the bounds of the uncertainty, the uncertainty can be represented by the lower and upper membership functions. Based on the basic stable conditions of the DIT2 fuzzy control systems and the information provided by the lower and upper membership functions, a relaxed approach is derived to design the DIT2 fuzzy controller, which can effectively stabilize the nonlinear systems subject to system uncertainty. Finally, a simulation example is used to detail the design of DIT2 T-S fuzzy control system and to show the performance of the DIT2 T-S fuzzy controller on handling the system uncertainty.
引用
收藏
页码：132 / 135
页数：4
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