On consensus in multi-agent systems with quantized signal communication

被引:0
|
作者
Furusaka T. [1 ]
Sato T. [1 ]
Araki N. [1 ]
Konishi Y. [1 ]
机构
[1] Graduate School of Engineering, University of Hyogo, 2167, Shosha, Himeji, Hyogo
关键词
Multi-agent system; Quantizer;
D O I
10.1541/ieejeiss.139.300
中图分类号
O24 [计算数学];
学科分类号
070102 ;
摘要
In this paper, we consider the consensus control of multi-agent systems with quantized signal communication. In such a network system, when the static quantizer is used, the control performance is degraded because of the influence of the quantization error. To compensate the quantization error, in a conventional method, a probabilistic quantizer is used. On the other hand, in this paper, the dynamic quantizer is introduced instead of the static quantizer. Because the dynamic quantizer is optimally designed, the control performance of the proposed method can be improved better than the conventional methods. Finally, the effectiveness of the proposed method is demonstrated through numerical examples. © 2019 The Institute of Electrical Engineers of Japan.
引用
收藏
页码:300 / 304
页数:4
相关论文
共 50 条
  • [21] ON ROBUST CONSENSUS OF MULTI-AGENT SYSTEMS WITH COMMUNICATION DELAYS
    Hu, Jiangping
    KYBERNETIKA, 2009, 45 (05) : 768 - 784
  • [22] Containment Consensus of Multi-agent Systems with Communication Noises
    Wang, Fusheng
    Yang, Hongyong
    PROCEEDINGS OF 2016 CHINESE INTELLIGENT SYSTEMS CONFERENCE, VOL I, 2016, 404 : 189 - 197
  • [23] Consensus of Heterogeneous Multi-Agent Systems with Intermittent Communication
    Lü XU
    Shuanghe MENG
    Liang CHEN
    Journal of Systems Science and Information, 2017, 5 (04) : 328 - 342
  • [24] Group consensus of multi-agent systems with communication delays
    Xia, Hong
    Huang, Ting-Zhu
    Shao, Jin-Liang
    Yu, Jun-Yan
    NEUROCOMPUTING, 2016, 171 : 1666 - 1673
  • [25] First-Order Dynamic Quantized Consensus of Multi-Agent Systems
    Ragghav, Arvind, V
    Mahindrakar, Arun D.
    2023 NINTH INDIAN CONTROL CONFERENCE, ICC, 2023, : 345 - 350
  • [26] Quantized Consensus for linear discrete-time Multi-agent Systems
    Li Zhenxing
    Ji Haibo
    2012 12TH INTERNATIONAL CONFERENCE ON CONTROL, AUTOMATION, ROBOTICS & VISION (ICARCV), 2012, : 1472 - 1476
  • [27] QUANTIZED CONSENSUS OF MULTI-AGENT SYSTEMS VIA BROADCAST GOSSIP ALGORITHMS
    Liu, Zhi-Wei
    Guan, Zhi-Hong
    Li, Tao
    Zhang, Xian-He
    Xiao, Jiang-Wen
    ASIAN JOURNAL OF CONTROL, 2012, 14 (06) : 1634 - 1642
  • [28] Average Consensus of Multi-Agent Systems under Logarithm Quantized Communications
    Bian, Tao
    Wang, Yan-Wu
    2012 12TH INTERNATIONAL CONFERENCE ON CONTROL, AUTOMATION, ROBOTICS & VISION (ICARCV), 2012, : 418 - 423
  • [29] Fully Distributed Event-Triggered Bipartite Consensus of Linear Multi-Agent Systems With Quantized Communication
    Wang, Qiang
    Li, Shifen
    He, Wangli
    Zhong, Weimin
    IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS II-EXPRESS BRIEFS, 2022, 69 (07) : 3234 - 3238
  • [30] Group Consensus for Heterogeneous Multi-Agent Systems With Sampled and Quantized Data Under Directed Communication Topology
    Li, Xiaobo
    Chen, Weisheng
    Nasr, Emad Abouel
    El-Tamimi, Abdulaziz Mohammed
    Li, Zhiwu
    IEEE ACCESS, 2019, 7 : 48318 - 48327