Interval Observer Design for Metzlerian Takagi-Sugeno Systems

被引：1
|
作者：
Krokavec, Dusan [1 ]
Filasova, Anna [1 ]
机构：
[1] Tech Univ Kosice, Kosice, Slovakia
来源：
FUZZY SYSTEMS AND DATA MINING VI | 2020年 / 331卷
关键词：
interval observers; Metzlerian Takagi-Sugeno fuzzy systems; diagonal stabilization; convex optimization; linear matrix inequalities;
D O I：
10.3233/FAIA200736
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
The generalized interval observer design conditions for continuous-time Metzlerian Takagi-Sugeno systems are presented in the paper. Attention is focused on the analysis and design guaranteeing the asymptotic convergence of the interval observer error and positivity of interval observer state. The relationship between the nonnegativity of the observer gains and the corresponding positive observer state attractiveness is also shown. The method presented extends and generalizes the results that recently appeared in the literature.
引用
收藏
页码：589 / 600
页数：12
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