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Distributed consensus of multi-agent systems with increased convergence rate

  • Ke-cai Cao EMAIL logo , Yun Chai und Chenglin Liu
Veröffentlicht/Copyright: 16. November 2020
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Abstract

Consensus problem with faster convergence rate of consensus problem has been considered in this paper. Adding more edges such as that connecting each agent and its second-nearest neighbor or changing the consensus protocol such as mixing asymptotic terms and terms of finite-time has been proved to be possible ways in increasing the convergence rate of multi-agent system in this paper. Based on analysis of Laplacian matrix, increasing of the convergence rate has been proved using the second-smallest eigenvalue for the first method. Concerning the second method, advantages of asymptotic consensus protocol and finite-time consensus protocol have been mixed together with the help of homogeneity function and theory of Lyapunov. Simulation results using matlab are also presented to illustrate the newly designed consensus protocols in increasing the convergence rate.


Corresponding author: Ke-cai Cao, Nanjing Institute of Technology, Nanjing, JiangSu, People’s Republic of China, E-mail:

Award Identifier / Grant number: 61973139

Award Identifier / Grant number: BK20161520

Funding source: Key University Science Research Project of Jiangsu Province

Award Identifier / Grant number: 17KJA120003

  1. Author contribution: All the authors have accepted responsibility for the entire content of this submitted manuscript and approved submission. Kecai Cao’s contribution is design of the finite-time fast consensus protocol. Yun Chai’s contribution is fast consensus protocol based on two-hop delay. Chenglin Liu’s contribution lie in interesting suggestion and simulation study.

  2. Research funding: This work is supported by National Natural Science Foundation of China (Grant No. 61973139), Key Project of Philosophy and Social Science Research in Colleges and Universities in Jiangsu Province (Grant No. 2020SJZDA098), Key University Science Research Project of Jiangsu Province (Grant No. 17KJA120003).

  3. Conflict of interest statement: The authors declare no conflicts of interest regarding this article.

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Received: 2018-12-28
Accepted: 2020-10-17
Published Online: 2020-11-16
Published in Print: 2021-06-25

© 2020 Walter de Gruyter GmbH, Berlin/Boston

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