Distributed consensus of multi-agent systems with increased convergence rate-Reference-Cited by-同舟云学术

Distributed consensus of multi-agent systems with increased convergence rate

Published:2020-11-16 Issue:3-4 Volume:22 Page:419-435
ISSN:1565-1339
Container-title:International Journal of Nonlinear Sciences and Numerical Simulation
language:en
Short-container-title:

Author:

Cao Ke-cai¹,Chai Yun²,Liu Chenglin³

Affiliation:

1. Nanjing Institute of Technology , Nanjing , JiangSu , People’s Republic of China

2. Nanjing University of Posts and Telecommunications , Road Wenyuan , 210023 Nanjing , People’s Republic of China

3. Jiangnan University , 214122 Wuxi , JiangSu , People’s Republic of China

Abstract

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.

Funder

National Natural Science Foundation of China

Natural Science Foundation of Jiangsu Province

Key University Science Research Project of Jiangsu Province

Publisher

Walter de Gruyter GmbH

Subject

Applied Mathematics,General Physics and Astronomy,Mechanics of Materials,Engineering (miscellaneous),Modelling and Simulation,Computational Mechanics,Statistical and Nonlinear Physics

Link

https://www.degruyter.com/document/doi/10.1515/ijnsns-2018-0391/pdf

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