Further Stability and L2-Gain Conditions for Sampled-Data Systems

被引：0
|
作者：
Saravanakumar, Ramasamy [1 ]
机构：
[1] Hiroshima Univ, Hiroshima, Japan
来源：
2021 8TH INTERNATIONAL CONFERENCE ON SOFT COMPUTING & MACHINE INTELLIGENCE (ISCMI 2021) | 2021年
基金：
日本学术振兴会;
关键词：
Finsler's lemma; Free-matrix-based integral inequality; Looped-functional; Sampled-data systems; LINEAR-SYSTEMS; STABILIZATION; DELAY; INEQUALITY;
D O I：
10.1109/ISCMI53840.2021.9654906
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 studies stability and L-2-gain analysis of sampled-data systems. Finsler's lemma and free-matrix-based integral inequality (FMBII) are employed to solve the integral term in the derivative of looped functional. Based on new looped-functional, an improved stability conditions in the form of linear matrix inequalities (LMIs) are derived using the FMBII. The benefit of this technique is mainly used in reducing the conservatism and is verified based on numerical examples. Five numerical examples are given to demonstrate the validity and superiority of the proposed methods.
引用
收藏
页码：64 / 68
页数：5
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