Quadratic stability of uncertain large-scale networked systems

被引:1
|
作者
Song, Jun-Xiao [1 ]
Gao, Jun-Wei [1 ,2 ]
Yu, Hai-Sheng [1 ,2 ]
Liu, Hua-Bo [1 ,2 ,3 ,4 ]
机构
[1] Qingdao Univ, Sch Automat, Qingdao, Peoples R China
[2] Qingdao Univ, Shandong Key Lab Ind Control Technol, Qingdao, Peoples R China
[3] Qingdao Univ, Sch Automat, Qingdao 266071, Peoples R China
[4] Qingdao Univ, Shandong Key Lab Ind Control Technol, Qingdao 266071, Peoples R China
基金
中国国家自然科学基金;
关键词
Large-scale networked systems; quadratic stability; sparseness; uncertainty; DISTRIBUTED CONTROL DESIGN; LINEAR-SYSTEMS;
D O I
10.1080/23307706.2023.2292105
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
In this paper, the quadratic stability of continuous-time uncertain large-scale networked systems is considered. The systems are composed of many subsystems distributed in different locations in space and interconnected according to a certain network topology. A computationally efficient sufficient condition for the quadratic stability of large-scale networked systems is established, utilising effectively the block diagonal structure of the system parameter matrix and the sparseness of the subsystem connection matrix (SCM). Furthermore, a stability condition is presented, which is entirely contingent on the parameters of each subsystem. The simulation results show that the obtained conditions have obvious advantages in analysing the quadratic stability of large-scale networked systems.
引用
收藏
页码:563 / 571
页数:9
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