Fastest containment control of discrete-time multi-agent systems using static linear feedback protocol

被引:8
|
作者
Zhang, Junfeng [1 ]
Yan, Fei [1 ,2 ]
Feng, Tao [1 ]
Deng, Tao [1 ]
Zhao, Yue [3 ]
机构
[1] Southwest Jiaotong Univ, Sch Informat Sci & Technol, Chengdu, Sichuan, Peoples R China
[2] Natl Engn Lab Integrated Transportat Big Data Appl, Chengdu, Peoples R China
[3] Harbin Inst Technol, Control Theory & Engn, Harbin 150001, Peoples R China
基金
中国国家自然科学基金;
关键词
Containment control; Convergence region; Convergence speed; LQR; SUFFICIENT CONDITIONS; STABILITY MARGINS; SYNCHRONIZATION; DYNAMICS;
D O I
10.1016/j.ins.2022.10.007
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
This paper focuses on the fastest containment control of discrete-time single-input linear multi-agent systems (MASs) over directed graphs. By proving that the largest convergence region for containment control is identical to the largest gain margin of the discrete-time linear quadratic regulator (LQR) in the sense of a radial projection, the necessary and suf-ficient condition on the containment control problem is derived using a standard Riccati design method. Inspired by this, we introduce a speed factor to characterize the worst -case convergence speed of the containment control and show that the convergence speed becomes faster as the speed factor decreases. The analytical solutions of the fastest conver-gence speed are obtained, and static linear distributed protocols are designed using the standard algebra Riccati equation to achieve the fastest convergence speed of the contain-ment control. Finally, a numerical example is given to verify the validity of the developed theoretical results.(c) 2022 Elsevier Inc. All rights reserved.
引用
收藏
页码:362 / 373
页数:12
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