Multi-agent pinning control algorithm based on betweenness centrality with influence degree

被引：0

作者：

He M. ^{[1
]}

Ma Z.-Y. ^{[1
]}

Liu J.-T. ^{[1
]}

Zheng X.-D. ^{[1
]}

Zhou B. ^{[1
]}

机构：

[1] Command And Control Engineering College, Army Engineering University of PLA, Nanjing

来源：

Kongzhi yu Juece/Control and Decision | 2021年 / 36卷 / 06期

关键词：

Betweenness centrality; Consensus; Influence; Multi-agent; Pinning control;

D O I：

10.13195/j.kzyjc.2019.1106

中图分类号：

学科分类号：

摘要：

Aiming at the poor stability of the final convergence of multi-agent systems in the process of pinning control, we design an influence degree matrix and reconstruct an intermediate centrality algorithm to complete the selection of pinning control nodes. Firstly, an influence degree matrix is calculated according to degree distribution of subnets. Then, the influence degree matrix is used to calculate the intermediate centrality distribution matrix of the subnet. Finally, traction control nodes are selected according to the distribution of betweenness centrality. We not only preserve the importance of the individual in the system, but also introduce the influence of the importance of the individual in the neighborhood. Comparative experiments show that the betweenness centrality algorithm can greatly enhance the robustness of multi-agent systems and improve the convergence speed of the system. Copyright ©2021 Control and Decision.

引用

页码：1442 / 1448

页数：6

共 20 条

[1]

Beard R W, McLain T W, Nelson D B, Et al., Decentralized cooperative aerial surveillance using fixed-wing miniature UAVs, Proceedings of the IEEE, 94, 7, pp. 1306-1324, (2006)

[2]

Vicsek T, Czirk A, Ben-Jacob E, Et al., Novel type of phase transition in a system of self-driven particles, Physical Review Letters, 75, 6, (1995)

[3]

Reynolds C W., Flocks, herds and schools: A distributed behavioral model, ACM SIGGRAPH Computer Graphics, 21, 4, pp. 25-34, (1987)

[4]

Su H S, Wang X F, Lin Z L., Flocking of multi-agents with a virtual leader, part Ⅱ: With a virtual leader of varying velocity, Proceedings of the IEEE Conference on Decision and Control, 54, 2, pp. 1429-1434, (2018)

[5]

Wang X F, Chen G P., Pinning control of scale-free dynamical networks, Physica A: Statistical Mechanics and its Applications, 310, 3, pp. 521-531, (2002)

[6]

Huang M, Manton J H., Coordination and consensus of networked agents with noisy measurements: Stochastic algorithms and asymptotic behavior, SIAM Journal on Control and Optimization, 48, 1, pp. 134-161, (2009)

[7]

Li K Z, Sun W, Small M, Et al., Practical synchronization on complex dynamical networks via optimal pinning control, Physical Review E: Statistical, Nonlinear, and Soft Matter Physics, 92, 1, pp. 1-5, (2015)

[8]

Olfati-Saber R., Flocking for multi-agent dynamic systems: Algorithms and theory, IEEE Transactions on Automatic Control, 51, 3, pp. 401-420, (2006)

[9]

Su H S, Wang X F, Lin Z L., Flocking of multi-agents with a virtual leader, IEEE Transactions on Automatic Control, 54, 2, pp. 293-307, (2009)

[10]

Nie S, Wang X W, Wang B H., Effect of degree correlation on exact controllability of multiplex networks, Physica A: Statistical Mechanics and its Applications, 436, pp. 98-102, (2015)

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