Target Controllability of Networked LTI Systems

被引：4
|
作者：
Hao, Yuqing [1 ,2 ]
Wang, Qingyun [1 ,2 ]
Duan, Zhisheng [3 ]
Chen, Guanrong [4 ]
机构：
[1] Beihang Univ, Dept Dynam & Control, Beijing 100191, Peoples R China
[2] Beijing Adv Discipline Unmanned Aircraft Syst, Beijing 100191, Peoples R China
[3] Peking Univ, Coll Engn, Dept Mech & Engn Sci, State Key Lab Turbulence & Complex Syst, Beijing 100871, Peoples R China
[4] City Univ Hong Kong, Dept Elect Engn, Kowloon, Hong Kong, Peoples R China
来源：
IEEE TRANSACTIONS ON NETWORK SCIENCE AND ENGINEERING | 2022年 / 9卷 / 03期
基金：
中国国家自然科学基金; 北京市自然科学基金;
关键词：
Controllability; Linear systems; Artificial neural networks; Multi-agent systems; Eigenvalues and eigenfunctions; Couplings; Control theory; Networked systems (NSs); target controllability; MIMO LTI system; multi-agent systems; OBSERVABILITY;
D O I：
10.1109/TNSE.2022.3146233
中图分类号：
T [工业技术];
学科分类号：
08 ;
摘要：
A generalized-eigenvector-based condition is derived for the target controllability, which is necessary and sufficient. It is then applied to networked MIMO LTI systems with some lower-dimensional conditions established. These conditions are easily-verified, which explicitly show how the node-system dynamics, network topology, inner couplings, target-node positions, and external control inputs affect the target controllability of the network. Then, the target controllability of multi-agent systems is revisited. The omission of the criterion given in (Guan and Wang, 2019) is revealed. As a remedy, a modified criterion is suggested. Several examples show the effectiveness of the conditions.
引用
收藏
页码：1493 / 1500
页数：8
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