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
相关论文
共 33 条
  • [1] Necessary and sufficient conditions for containment control of heterogeneous linear multi-agent systems with fixed time delay
    Asgari, Mostafa
    Atrianfar, Hajar
    [J]. IET CONTROL THEORY AND APPLICATIONS, 2019, 13 (13) : 2065 - 2074
  • [2] An Overview of Recent Progress in the Study of Distributed Multi-Agent Coordination
    Cao, Yongcan
    Yu, Wenwu
    Ren, Wei
    Chen, Guanrong
    [J]. IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS, 2013, 9 (01) : 427 - 438
  • [3] Chellaboina V, 1998, IEEE DECIS CONTR P, P1786, DOI 10.1109/CDC.1998.758555
  • [4] Collision-free formation-containment control for a group of UAVs with unknown disturbances
    Chen, Lin
    Duan, Haibin
    [J]. AEROSPACE SCIENCE AND TECHNOLOGY, 2022, 126
  • [5] Theory and Experiment on Formation-Containment Control of Multiple Multirotor Unmanned Aerial Vehicle Systems
    Dong, Xiwang
    Hua, Yongzhao
    Zhou, Yan
    Ren, Zhang
    Zhong, Yisheng
    [J]. IEEE TRANSACTIONS ON AUTOMATION SCIENCE AND ENGINEERING, 2019, 16 (01) : 229 - 240
  • [6] Synchronization of discrete-time multi-agent systems on graphs using Riccati design
    Hengster-Movric, Kristian
    You, Keyou
    Lewis, Frank L.
    Xie, Lihua
    [J]. AUTOMATICA, 2013, 49 (02) : 414 - 423
  • [7] On maximizing the second smallest eigenvalue of a state-dependent graph Laplacian
    Kim, Y
    Mesbahi, M
    [J]. IEEE TRANSACTIONS ON AUTOMATIC CONTROL, 2006, 51 (01) : 116 - 120
  • [8] Bisection Algorithm of Increasing Algebraic Connectivity by Adding an Edge
    Kim, Yoonsoo
    [J]. IEEE TRANSACTIONS ON AUTOMATIC CONTROL, 2010, 55 (01) : 170 - 174
  • [9] Spectral radius minimization for optimal average consensus and output feedback stabilization
    Kim, Yoonsoo
    Gu, Da-Wei
    Postlethwaite, Jan
    [J]. AUTOMATICA, 2009, 45 (06) : 1379 - 1386
  • [10] Formation-containment control for networked Euler-Lagrange systems with input saturation
    Li, Chuanjiang
    Chen, Liangming
    Guo, Yanning
    Ma, Guangfu
    [J]. NONLINEAR DYNAMICS, 2018, 91 (02) : 1307 - 1320