Robust stable feedback linearization of fuzzy modeled nonlinear systems via LMI's

被引：0
|
作者：
Park, CW [1 ]
Moon, CW [1 ]
Lee, JB [1 ]
Kim, YO [1 ]
Sung, HG [1 ]
机构：
[1] KETI, Puchon 203192, South Korea
来源：
2004 IEEE INTERNATIONAL CONFERENCE ON FUZZY SYSTEMS, VOLS 1-3, PROCEEDINGS | 2004年
关键词：
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
This paper presents the robust stability analysis and design methodology of the fuzzy feedback linearization control systems. Uncertainty and disturbances with known bounds are assumed to be included in the Takagi-Sugeno (TS) fuzzy models representing the nonlinear plants. L-2 robust stability of the closed system is analyzed by casting the systems into the diagonal norm bounded linear differential inclusions (DNLDI) formulation. Based on the linear matix inequality (LMI) optimization programming, a numerical method for finding the maximum stable ranges of the fuzzy feedback linarization control gains is also proposed. To verify the effectiveness of the proposed scheme, the robust stability analysis and control design examples are given.
引用
收藏
页码：1257 / 1262
页数：6
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