Boundedness and Stability for a Class of Timescale-Type Time-Varying Systems

被引：0
作者：
Xiao, Qiang [1 ,2 ]
Wen, Shiping [1 ,2 ]
Zeng, Zhigang [1 ,2 ]
Huang, Tingwen [3 ]
机构：
[1] Huazhong Univ Sci & Technol, Sch Automat, Wuhan 430074, Hubei, Peoples R China
[2] Educ Minist China, Key Lab Image Proc & Intelligent Control, Wuhan 430074, Hubei, Peoples R China
[3] Texas A&M Univ Qatar, Dept Math, Doha, Qatar
来源：
ADVANCES IN NEURAL NETWORKS - ISNN 2018 | 2018年 / 10878卷
关键词：
Boundedness; Asymptotic stability; Time-varying system; Time scale; RECURRENT NEURAL-NETWORKS; EXPONENTIAL STABILITY; MULTIPERIODICITY; SYNCHRONIZATION;
D O I：
10.1007/978-3-319-92537-0_80
中图分类号：
TP301 [理论、方法];
学科分类号：
081202 ;
摘要：
This paper investigated a class of time-varying systems on time scales. Based on the general theory of time scales, the ultimate boundedness and asymptotic stability of the system is studied. Two examples illustrate the validity of the obtained results.
引用
收藏
页码：703 / 710
页数：8
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