Lag consensus of the second-order leader-following multi-agent systems with nonlinear dynamics

被引：39
|
作者：
Wang, Yi [1 ]
Ma, Zhongjun [2 ,3 ]
机构：
[1] Zhejiang Univ Finance & Econ, Sch Math & Stat, Hangzhou 310018, Peoples R China
[2] Guilin Univ Elect Technol, Sch Math & Comp Sci, Guilin 541004, Peoples R China
[3] Guilin Univ Elect Technol, Guangxi Coll & Univ, Key Lab Data Anal & Computat, Guilin 541004, Peoples R China
来源：
NEUROCOMPUTING | 2016年 / 171卷
关键词：
Multi-agent systems; Time-delay; Nonlinear dynamics; Noise; SWITCHING TOPOLOGY; SYNCHRONIZATION; NETWORKS;
D O I：
10.1016/j.neucom.2015.06.020
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
Lag consensus is a phenomenon where followers track the trajectory of the leader with a time delay. By using lag consensus, a protocol is designed for agents to behind the leader at different times, so as to avoid congestion. In this paper, aiming to the lag consensus of second-order nonlinear multi-agent systems, a control protocol for each follower based on local information of neighboring agents is proposed, and an adaptive feedback control protocol is also given. Moreover, the multi-agent systems with noisy environment are considered. The results suggest that our protocol is robust to the noise. Finally, simulation examples are given to illustrate our theoretical analysis. (C) 2015 Elsevier B.V. All rights reserved.
引用
收藏
页码：82 / 88
页数：7
相关论文
共 50 条
  • [21] Leader-Following Consensus of Second-Order Multi-Agent Systems with Switching Topologies
    Xiao, Li
    Shi, Xi
    Li, Huaqing
    ADVANCES IN GLOBAL OPTIMIZATION, 2015, 95 : 387 - 396
  • [22] Quasi-consensus of second-order leader-following multi-agent systems
    Wang, Z.
    Cao, J.
    IET CONTROL THEORY AND APPLICATIONS, 2012, 6 (04) : 545 - 551
  • [23] Leader-following Consensus in Second-order Multi-agent Systems with Sampled Data
    Gong Qingsong
    Zhao Liying
    Liu Kun
    PROCEEDINGS OF THE 31ST CHINESE CONTROL CONFERENCE, 2012, : 1101 - 1106
  • [24] Distributed leader-following consensus of nonlinear multi-agent systems with nonlinear input dynamics
    Shi, Yi
    Yin, Yanyan
    Wang, Song
    Liu, Yanqing
    Liu, Fei
    NEUROCOMPUTING, 2018, 286 : 193 - 197
  • [25] Adaptive Leader-Following Consensus of Multi-Agent Systems with Unknown Nonlinear Dynamics
    Wang, Junwei
    Chen, Kairui
    Ma, Qinghua
    ENTROPY, 2014, 16 (09) : 5020 - 5031
  • [26] Leader-following guaranteed performance consensus for second-order multi-agent systems with and without communication delays
    Yu, Shuzhen
    Yu, Zhiyong
    Jiang, Haijun
    Hu, Cheng
    IET CONTROL THEORY AND APPLICATIONS, 2018, 12 (15) : 2055 - 2066
  • [27] Second-order consensus for nonlinear leader-following multi-agent systems via dynamic output feedback control
    Du, Haibo
    Cheng, Yingying
    He, Yigang
    Jia, Ruting
    INTERNATIONAL JOURNAL OF ROBUST AND NONLINEAR CONTROL, 2016, 26 (02) : 329 - 344
  • [28] Leader-following finite-time consensus in second-order multi-agent networks with nonlinear dynamics
    Huaqing Li
    Xiaofeng Liao
    Guo Chen
    International Journal of Control, Automation and Systems, 2013, 11 : 422 - 426
  • [29] Lag Consensus of Second-Order Discrete-time Leader-Following Multi-agent Systems with Communication Delays
    Ma, Yiwen
    Huang, Qinzhen
    Zhang, Jun
    2020 CHINESE AUTOMATION CONGRESS (CAC 2020), 2020, : 6673 - 6678
  • [30] Leader-following scaled consensus of second-order multi-agent systems under directed topologies
    Zhang, Zheng
    Chen, Shiming
    Zheng, Yuanshi
    INTERNATIONAL JOURNAL OF SYSTEMS SCIENCE, 2019, 50 (14) : 2604 - 2615
12345