Dilated LMIs based Stability Analysis for Artificial T-S Fuzzy Control Systems

被引：0
|
作者：
Kim, Dae Young [1 ]
Park, Jin Bae [1 ]
Joo, Young Hoon [2 ]
机构：
[1] Yonsei Univ, Dept Elect & Elect Engn, Seoul 120749, South Korea
[2] Kunsan Univ, Dept Control & Robot Engn, Jeonbuk, South Korea
来源：
2013 13TH INTERNATIONAL CONFERENCE ON CONTROL, AUTOMATION AND SYSTEMS (ICCAS 2013) | 2013年
关键词：
dilated linear matrix inequality(LMI); staircase membership function; relaxed stability condition; artificial T-S fuzzy model; slack variable; DESIGN; MODEL;
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 presents relaxed stabilization condition for artificial Takagi-Sugeno (T-S) fuzzy control systems. Continuous membership functions of the T-S fuzzy system are represented by staircase membership functions. With the property of the staircase membership functions, it turns the set of infinite number of linear matrix inequalities(LMIs) based stability conditions into a finite one. The proposed stability analysis is represented dilated LMIs which is used to add slack variables for less conservative stability conditions. Finally, simulation example is given to illustrate the merits of the proposed method.
引用
收藏
页码：677 / 682
页数：6
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