4.4 Article

Novel admissibility and robust stabilization conditions for fractional-order singular systems with polytopic uncertainties

期刊

ASIAN JOURNAL OF CONTROL
卷 -, 期 -, 页码 -

出版社

WILEY
DOI: 10.1002/asjc.3178

关键词

admissibility; fractional-order system; output feedback control; polytopic uncertainty; singular system

向作者/读者索取更多资源

This paper considers the admissibility and robust stabilization issues of fractional-order singular systems with polytopic uncertainties. Novel admissibility conditions for nominal fractional-order singular systems are proposed. Robust admissibility conditions for fractional-order singular systems with polytopic uncertainties are given based on the admissibility conditions for nominal fractional-order singular systems. Methods of designing static output feedback controllers that make the uncertain fractional-order singular systems robustly admissible are obtained. The results are illustrated with three examples.
This paper considers the issues of the admissibility and robust stabilization of fractional-order singular systems with polytopic uncertainties and fractional-order & alpha;:1 & LE;& alpha;<2$$ \alpha :1\le \alpha and 0<& alpha;<1$$ 0. Firstly, the novel admissibility conditions for nominal fractional-order singular systems are proposed with no conservatism and without any equalities or nonstrict inequalities. Secondly, the robust admissibility conditions for fractional-order singular systems with polytopic uncertainties are given based on the admissibility conditions for nominal fractional-order singular systems. Thirdly, to make the uncertain fractional-order singular systems robustly admissible, the methods of designing the static output feedback controllers are obtained with wider application scope, which are direct, concise, and more relaxed compared with the existing results. All the results are proposed in terms of linear matrix inequalities. Finally, three illustrative examples are given to demonstrate the effectiveness of the results.

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.4
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

暂无数据
暂无数据