Improvement on reciprocally convex combination lemma and quadratic function negative-definiteness lemma

被引:23
作者
Chen, Jun [1 ,2 ]
Park, Ju H. [2 ]
Xu, Shengyuan [3 ]
机构
[1] Jiangsu Normal Univ, Sch Elect Engn & Automat, Xuzhou 221116, Jiangsu, Peoples R China
[2] Yeungnam Univ, Dept Elect Engn, 280 Daehak Ro, Gyongsan 38541, South Korea
[3] Nanjing Univ Sci & Technol, Sch Automat, Nanjing 210094, Peoples R China
来源
JOURNAL OF THE FRANKLIN INSTITUTE-ENGINEERING AND APPLIED MATHEMATICS | 2022年 / 359卷 / 02期
基金
新加坡国家研究基金会;
关键词
TIME-VARYING DELAY; STABILITY ANALYSIS; LINEAR-SYSTEMS; NEURAL-NETWORKS; INEQUALITY; CRITERIA;
D O I
10.1016/j.jfranklin.2021.11.029
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
This paper is concerned with the stability problem for linear systems with a time-varying delay using the Lyapunov-Krasovskii (L-K) functional method. First, an a-polynomial reciprocally convex combination lemma (RCCL) is developed with an undetermined parameter m, which covers the well-known RCCLs. Second, the recently-reported necessary and sufficient negative-definiteness condition and quadratic-partitioning method are both extended to the general case when the low bound of the time-varying interval is not restricted to zero. Third, based on these new techniques, relaxed stability criteria are derived via an appropriately constructed L-K functional. Finally, three numerical examples are given to demonstrate the improvement and effectiveness of the proposed approach. (C) 2021 Published by Elsevier Ltd on behalf of The Franklin Institute.
引用
收藏
页码:1347 / 1360
页数:14
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