[1]徐光辉,余蒙,付波,等.事件触发机制下二阶多智能体系统量化追踪控制[J].华侨大学学报(自然科学版),2020,41(5):667-673.[doi:10.11830/ISSN.1000-5013.201912041]
　XU Guanghui,YU Meng,FU Bo,et al.Quantitative Tracking Control of Second-Order Multi-Agent System Based on Event Trigger[J].Journal of Huaqiao University(Natural Science),2020,41(5):667-673.[doi:10.11830/ISSN.1000-5013.201912041]
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事件触发机制下二阶多智能体系统量化追踪控制()
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《华侨大学学报（自然科学版）》[ISSN:1000-5013/CN:35-1079/N]

卷:
第41卷
期数:
2020年第5期
页码:
667-673
栏目:
出版日期:
2020-09-20

文章信息/Info

Title:
Quantitative Tracking Control of Second-Order Multi-Agent System Based on Event Trigger
文章编号:
1000-5013(2020)05-0667-07
作者:
徐光辉1; 2;  余蒙1; 2;  付波1; 2;  赵熙临1; 2;  陈洁3
1. 湖北工业大学 电气与电子工程学院, 湖北 武汉 430068;2. 湖北工业大学 太阳能高效利用与储能系统运行控制湖北省重点实验室, 湖北 武汉 430068;3. 湖北工业大学 理学院, 湖北 武汉 430068
Author(s):
XU Guanghui1; 2;  YU Meng1; 2;  FU Bo1; 2;  ZHAO Xilin1; 2;  CHEN Jie3
1. School of Electrical and Electronic Engineering, Hubei University of Technology, Wuhan 430068, China; 2. Hubei Key Laboratory of Solar Energy Efficient Utilization and Operation Control of Energy Storage System, Hubei University of Technology, Wuhan 43
关键词:
追踪控制;  事件触发;  二阶线性;  多智能体系统;  芝诺行为;  量化处理
Keywords:
tracking control;  event-triggering;  second-order linear;  multi-agent system;  Zeno behavior;  quantitative processing
分类号:
TP273
DOI:
10.11830/ISSN.1000-5013.201912041
文献标志码:
A
摘要:
为了解决控制器频繁更新及通信带宽有限性的问题,对二阶线性多智能体系统在事件触发机制下的量化追踪控制进行研究.设计与均匀量化器相关的事件触发控制机制,提出基于事件触发的追踪控制算法,并使用均匀量化器对控制输入中的所有跟随者状态进行量化处理.基于Lyapunov稳定性理论分析,得到在该算法下使系统渐近趋于一致的充分条件.研究结果表明:所提出的控制协议可以排除芝诺行为.最后,通过数值实验说明理论结果的有效性.
Abstract:
In order to solve the problems of the controller frequent updates and limited communication bandwidth, the problem of quantitative tracking control in the second-order linear multi-agent system under the event-triggered mechanism is studied. An event-triggered control mechanism related to the uniform quantized-data interaction is designed, a tracking control based on event trigger algorithm is proposed, and a uniform quantized-data interaction is used to quantify all follower states in the control input. Based on the analysis of Lyapunov stability theory, sufficient conditions are obtained for the algorithm to make the system approach consensus. The research results show that the proposed control protocol can eliminate Zeno behavior. Finally, numerical simulation illustrates the effectiveness of the theory.

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备注/Memo

备注/Memo:
收稿日期: 2019-12-30
通信作者: 徐光辉(1986-),男,讲师,博士,主要从事复杂网络的群集动力学分析与控制、多智能体网络协调控制的研究.E-mail:xgh@hbut.edu.cn.
基金项目: 国家自然科学基金资助项目(61603127); 湖北省自然科学基金资助项目(2016CFB514); 湖北工业大学博士科研启动基金资助项目(BSQD2015024, BSQD2015044)
更新日期/Last Update: 2020-09-20