Matrix Quadratic Convex Combination for Stability of Linear Systems with Time-Varying Delay via New Augmented Lyapunov Functional

被引:0
|
作者
Yang, Feisheng [1 ,2 ]
He, Jing [1 ]
Li, Lei [3 ]
机构
[1] Northwestern Polytech Univ, Sch Automat, Xian 710072, Shaanxi, Peoples R China
[2] State Key Lab Synthet Automat Proc Ind, Shenyang, Peoples R China
[3] Xi An Jiao Tong Univ, Sch Math & Stat, Dept Appl Math, Xian, Peoples R China
关键词
NEURAL-NETWORKS;
D O I
暂无
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
The paper addresses the delay-dependent stability problem for linear systems with time-varying delay. Novel delay-dependent stability criteria in terms of linear matrix inequalities for systems with state time-varying delay are derived by the newly proposed augmented Lyapunov-Krasovski (L-K) functional. A matrix-type quadratic convex combination approach is introduced to prove the negative definiteness of the derivative of the L-K functional along with the trajectory of the delayed system. Different from previous results by using the first order convex combination, our derivation applies the idea of second order convex combination, and the property of quadratic convex function without resorting to the Jensen's inequality.
引用
收藏
页码:1866 / 1870
页数:5
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