[1]夏倩倩,刘开恩,纪志坚.基于二阶邻居事件触发多智能体系统的一致性[J].智能系统学报,2017,12(06):833-840.[doi:10.11992/tis.201702008]
　XIA Qianqian,LIU Kaien,JI Zhijian.Event-triggered consensus of multi-agent systems based on second-order neighbors[J].CAAI Transactions on Intelligent Systems,2017,12(06):833-840.[doi:10.11992/tis.201702008]
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基于二阶邻居事件触发多智能体系统的一致性(/HTML)
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《智能系统学报》[ISSN:1673-4785/CN:23-1538/TP]

卷:
第12卷
期数:
2017年06期
页码:
833-840
栏目:
出版日期:
2017-12-25

文章信息/Info

Title:
Event-triggered consensus of multi-agent systems based on second-order neighbors
作者:
夏倩倩1;  刘开恩1;  纪志坚2
1. 青岛大学 数学与统计学院, 山东 青岛 266071;
2. 青岛大学 自动化与电气工程学院, 山东 青岛 266071
Author(s):
XIA Qianqian1;  LIU Kaien1;  JI Zhijian2
1. School of Mathematics and Statistics, Qingdao University, Qingdao 266071, China;
2. School of Automation and Electrical Engineering, Qingdao University, Qingdao 266071, China
关键词:
一阶动力学方程; 多智能体系统; 一致性; 事件触发; 二阶邻居; 李雅普诺夫函数; 收敛速度; 仿真
Keywords:
first-order dynamics equation; multi-agent systems; consensus; event-triggering; second-order neighbors; Lyapunov function; convergence rate; simulation
分类号:
TP18
DOI:
10.11992/tis.201702008
摘要:
针对多智能体系统的平均一致性问题，采用二阶邻居信息设计一致性协议以加速一致性收敛速度。同时，为了减少系统的通信次数，基于事件控制的方法被用于一致性协议的设计中。首先在固定拓扑网络下研究了多智能体系统利用二阶邻居信息来加速一致性收敛速度的问题，随后在切换拓扑网络下对类似问题进行了分析。最后，把该协议应用到数值仿真中，并与只利用一阶邻居信息的协议比较，仿真结果表明所设计的协议能够加快收敛速度。
Abstract:
Based on the second-order neighbors’ information, consensus algorithm was proposed to accelerate the consensus convergence speed for the average consensus problem of multi-agent systems. Meanwhile, the event-based control method was used in the design of consensus algorithm in order to reduce the number of communications in the systems. Firstly, under a fixed topology network, we looked at speeding up the consensus convergence by getting the multiagent systems to apply information to their second-order neighbors; then, similar problems were analyzed under a switching topology network; finally, the protocol was applied in a numerical simulation and was compared with a protocol that applied information to only the first-order neighbors. The simulation results show that the proposed protocol can accelerate the convergence speed.

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备注/Memo

备注/Memo:
收稿日期:2017-02-18;改回日期:。
基金项目:国家自然科学基金项目（61374062）；山东省杰出青年科学基金项目（JQ201419）；山东省自然科学英才基金项目（ZR2015FM023）；中国博士后科学基金面上项目（2015M571995）；青岛市博士后应用研究项目.
作者简介:夏倩倩,女,1992年生,硕士研究生,主要研究方向为多智能体系统协作控制;刘开恩,男,1974年生,副教授,博士,主要研究方向多智能体系统分析与控制。主持山东省自然科学英才基金项目、中国博士后科学基金面上项目和青岛市博士后应用研究项目各1项,被SCI检索论文10余篇;纪志坚,男,1973年生,教授,博士生导师,博士,主要研究方向为群体系统动力学与协调控制、复杂网络、切换动力系统的分析与控制、系统生物以及基于网络的控制系统。曾主持国家自然科学基金3项、山东省杰出青年科学基金项目1项。山东省杰出青年基金获得者,发表学术论文70余篇,其中被SCI检索23篇,被EI检索50余篇。
通讯作者:刘开恩.E-mail:kaienliu@pku.edu.cn.
更新日期/Last Update: 2018-01-03