Finite-time Average Consensus Protocol for Multi-agent Systems with a Fast Convergence Rate

WANG Xiao-bo; XING Jian-chun; LI Jue-long; WANG Rong-hao

Chinese

您当前的位置：

首页 >

文章列表页 >

Finite-time Average Consensus Protocol for Multi-agent Systems with a Fast Convergence Rate

更新时间：2026-09-04

- Finite-time Average Consensus Protocol for Multi-agent Systems with a Fast Convergence Rate
- Vol. 35, Issue 5, Pages: 11-14(2018)
- 作者机构：
  
  1. 解放军理工大学国防工程学院,江苏,南京,210007
  2. 海军海防工程研究中心,北京,100841
- 作者简介：
- 基金信息：
- DOI：
  CLC：
- Published：2018
- 稿件说明：
移动端阅览
王晓波, 邢建春, 李决龙, 王荣浩. 多智能体系统快速有限时间平均一致性协议研究[J]. 微电子学与计算机, 2018, 35(5): 11-14, 20.

WANG Xiao-bo, XING Jian-chun, LI Jue-long, et al. Finite-time Average Consensus Protocol for Multi-agent Systems with a Fast Convergence Rate[J]. 2018, 35(5): 11-14.
王晓波, 邢建春, 李决龙, 王荣浩. 多智能体系统快速有限时间平均一致性协议研究[J]. 微电子学与计算机, 2018, 35(5): 11-14, 20. DOI：

WANG Xiao-bo, XING Jian-chun, LI Jue-long, et al. Finite-time Average Consensus Protocol for Multi-agent Systems with a Fast Convergence Rate[J]. 2018, 35(5): 11-14. DOI：

摘要

针对多智能体系统

本文提出了一种新型的有限时间平均一致性协议.基于Lyapunov稳定性理论

证明了系统在该协议控制下的稳定性

并得出了系统收敛时间的上限.通过与典型有限时间一致性协议的控制输入进行对比

得出该协议可以有效提高系统的收敛速度.最后

应用仿真实例对本文结论进行了验证.

Abstract

A novel protocol that can achieve an average state consensus for multi-agent systems in finite time is presented in this paper.Based on the Lyapunov stability theory

it is proved that the system stability can be guaranteed.Moreover

the upper bound of convergence time is obtained.Through the study and comparison with the control input of the typical finite-time consensus protocol

it obtains that the protocol can improve the convergence rate effectively.Lastly

simulations are conducted to verify the effectiveness of the results.

关键词

Keywords

references

Miller R K, Michel A N. Ordinary differential equations[M]. USA, Salt Lake City: Academic Press, 1982.

Cao Y, Yu W, Ren W, et al. An overview of recent progress in the study of distributed multi-agent coordination[J]. IEEE Transactions on Industrial Informatics, 2013, 9(1): 427-438. DOI: 427

Bhat S P, Bernstein D S. Finite-time stability of continuous autonomous systems[J]. SIAM Journal on Control and Optimization, 2000, 38(3): 751-766. DOI: 751

Olfati-Saber R, Murray R M. Consensus problems in networks of agents with switching topology and timedelays[J]. IEEE Transactions on Automatic Control, 2004, 49(9): 1520-1533. DOI: 1520

Wang L, Feng X. Finite-time consensus problems for networks of dynamic agents[J]. IEEE Transactions on Automatic Control, 2007, 55(4): 950-955. DOI: 950

Fax J, Murray R. Information flow and cooperative control of vehicle formations[J]. IEEE Transactions on Automatic Control, 2004, 49(9): 1465-1476. DOI: 1465

Ren W, Beard R W, Atkins E M. A survey of consensus problems in multi-agent coordination[C]//American Control Conference, 2005. Proceedings of the2005. USA, IEEE, 2005: 1859-1864.

Yilun Shang. Finitetime consensus for multiagent systems with fixed topologies[J]. International Journal of Systems Science, 2009, 43(3): 499-506. DOI: 499

Vicsek T, Czir'ok T. Novel type of phase transition in a system of self-driven particles[J]. Physcial Reviewer Letters, 1995, 75(6): 1226-1229. DOI: 1226

Godsil C, Royle G F. Algebraic graph theory[M]. New York: Springer Science % amp; amp; Business Media, 2013.

Zuo Z, Lin T. A new class of finite time nonlinear consensus protocols for multiagent systems[J]. International Journal of Control, 2014, 87(2): 363-370. DOI: 363

Wang L, Chen Z, Liu Z, et al. Finite time agreement protocol design of multiagent systems with communication delays[J]. Asian Journal of Control, 2009, 11(3): 281-286. DOI: 281

Views

下载量

CSCD

Alert me when the article has been cited

提交

Tools

Publicity Resources

A high-efficiency charge pump for ultra-low voltage boost systems

A feature-oriented context understanding and slice analysis network for tuberculosis detection

Aerial vehicle detection algorithm based on multi-scale fusion and small-object enhancement

High gain stability high temperature operational amplifier based on reverse body bias

Steganography model guided by attention mechanism and improved dense convolution

Related Author

No data

Related Institution

No data

AI问答

Postal code：100079
Tel：（010）53879206 Email：tmw@bjxintong.com.cn
Technical support is provided by Beijing Founder electronics co., LTD 京ICP备09082226号-64 京公网安备11010602201714号
It is recommended to read the content of this site in Chrome&IE9+. Please switch to extreme mode in browser 360.
Cookies We use cookies to help provide and enhance our service and tailor content. By continuing, you agree to the use of cookies.

⁰