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

页码：1493 / 1500

页数：8

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