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Finite-time Rotating Encirclement Control of Multi-agent Systems

Mo Lipo Yu Yongguang

XUE Dong-Guo, CHEN Bo, ZHANG Wen-An, YU Li. Kalman Fusion Estimation for Networked Multi-sensor Fusion Systems with Communication Constraints. ACTA AUTOMATICA SINICA, 2015, 41(1): 203-208. doi: 10.16383/j.aas.2015.c140022
Citation: Mo Lipo, Yu Yongguang. Finite-time Rotating Encirclement Control of Multi-agent Systems. ACTA AUTOMATICA SINICA, 2017, 43(9): 1665-1672. doi: 10.16383/j.aas.2017.e160260
薛东国, 陈博, 张文安, 俞立. 通信受限下网络化多传感器系统的Kalman融合估计. 自动化学报, 2015, 41(1): 203-208. doi: 10.16383/j.aas.2015.c140022
引用本文: 莫立坡, 于永光. 多智能体系统的有限时间旋转环绕控制. 自动化学报, 2017, 43(9): 1665-1672. doi: 10.16383/j.aas.2017.e160260

Finite-time Rotating Encirclement Control of Multi-agent Systems

Funds: 

the National Natural Science Foundation of China 11371049

the Beijing Municipal Government Foundation for Talents 2012D005003000005

the National Natural Science Foundation of China 61304155

More Information
    Author Bio:

    Yongguang Yu received the M.S. degree in the Department of Mathematical Science, Inner Mongolia University, China, in 2001, and the Ph.D. degree in the Institute of Applied Mathematics, Academy of Mathematics and System Sciences, Chinese Academy of Sciences, China, in 2004. From 2007 to 2009, he was a research fellow at City University of Hong Kong, China. Since 2010, he has been a Professor with the Department of Mathematics, School of Science, Beijing Jiaotong University, China. His research interests include chaotic dynamics, chaos control and synchronisation, complex networks, nonlinear control, and multi-agent systems. E-mail: ygyu@bjtu.edu.cn

    Corresponding author: Lipo Mo received the B.S. degree in the Department of Mathematics, Shihezi University, China, in 2003, and the Ph.D. degree in the School of Mathematics and Systems Science from Beihang University, Beijing, in 2010. Currently, he is an Associate Professor at Beijing Technology and Business University. His research interests include stochastic systems, coordination control of multi-agent systems, and intelligent optimization algorithm. Corresponding author of this paper. E-mail: beihangmlp@126.com

多智能体系统的有限时间旋转环绕控制

doi: 10.16383/j.aas.2017.e160260
基金项目: 

the National Natural Science Foundation of China 11371049

the Beijing Municipal Government Foundation for Talents 2012D005003000005

the National Natural Science Foundation of China 61304155

  • Recommended by Associated Editor Long Chen
    摘要: 本文主要研究了多智能体系统的分布式有限时间旋转环绕控制问题,其中每个智能体跟踪一个目标且每个目标被一个智能体跟踪.首先,设计了有限时间环绕跟踪协议,该协议包含对所有目标几何中心的观测器以及目标与其几何中心最大距离的估计器.其次,给出了闭环系统实现有限时间环绕跟踪的充分条件.最后,通过仿真验证了所得结果的有效性.

  • Fig.  1  Communication topology.

    Fig.  2  States of targets.

    Fig.  3  Geometry center.

    Fig.  4  The estimates of polar radius.

    Fig.  5  Encircling motion of agents and targets.

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  • 收稿日期:  2016-10-20
  • 录用日期:  2017-03-30
  • 刊出日期:  2017-09-20

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