Observer-based control for sampled-data fuzzy systems

被引：0

作者：

Lo, JC ^{[1
]}

Hsieh, LT ^{[1
]}

机构：

[1] Natl Cent Univ, Fac Mech Engn, Chungli 32054, Taiwan

来源：

FUZZ-IEEE 2005: PROCEEDINGS OF THE IEEE INTERNATIONAL CONFERENCE ON FUZZY SYSTEMS: BIGGEST LITTLE CONFERENCE IN THE WORLD | 2005年

关键词：

observed-state feedback control; sampled-data systems; hybrid systems; TS fuzzy model; Linear Matrix Inequality (LMI);

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：

We investigate an observed-state feedback stabilization problem involving sampled-data fuzzy systems arising from rapid growth of digital controller implementations. The underlying closed-loop fuzzy system is shown to be asymptotically stable when intersampling effects are taken into account. Being a periodically time-varying hybrid discrete/continuous system, the Riccati inequality associated with the sampled data system poses difficulties for stabilization analysis using LMI convex programming. To resolve the difficulties, a convex solution is assumed and the main result is expressed in an LMI formulation. Finally the validity and applicability of the approach are demonstrated by an example.

引用

页码：383 / 388

页数：6

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