Consensus Control of Multi-agent Systems Over Undirected Graphs with Quantized Signal Communication

被引：0
|
作者：
Furusaka, Takumi [1 ]
Sato, Takao [1 ]
Araki, Nozomu [1 ]
Konishi, Yasuo [1 ]
机构：
[1] Univ Hyogo, Grad Sch Engn, 2167 Shosha, Himeji, Hyogo 6712280, Japan
来源：
2018 18TH INTERNATIONAL CONFERENCE ON CONTROL, AUTOMATION AND SYSTEMS (ICCAS) | 2018年
关键词：
Multi-agent system; consensus control; communication; undirected graph; dynamic quantizer; static quantizer; optimization;
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
This study proposes a new design method for the consensus control of multi-agent systems with quantized signal communication. When the static quantizer used, the performance of the consensus control is deteriorated depending on the quantizing level. In a conventional method, the quantization is implemented the probability function, On the other hand, in the proposed method, the dynamic quantizer is introduced, and it is optimally designed. As a result, the consensus control performance is improved. Finally, the effectiveness of the proposed method is demonstrated through numerical examples,
引用
收藏
页码：673 / 676
页数：4
相关论文
共 50 条
  • [41] Predictive Pinning Control with Communication Delays for Consensus of Multi-Agent Systems
    Kobayashi, Koichi
    IEICE TRANSACTIONS ON FUNDAMENTALS OF ELECTRONICS COMMUNICATIONS AND COMPUTER SCIENCES, 2019, E102A (02) : 359 - 364
  • [42] Quantized consensus of second-order multi-agent systems via impulsive control
    Zhu, Yunru
    Zheng, Yuanshi
    Guan, Yongqiang
    NEUROCOMPUTING, 2017, 270 : 27 - 33
  • [43] Quantized consensus control for second-order multi-agent systems with nonlinear dynamics
    Ren, Chang-E
    Chen, Long
    Chen, C. L. Philip
    Du, Tao
    NEUROCOMPUTING, 2016, 175 : 529 - 537
  • [44] Quantized iterative learning control for consensus of switched nonlinear heterogeneous multi-agent systems
    Yang, Song
    Li, Xiao-Dong
    NONLINEAR DYNAMICS, 2024, : 6695 - 6716
  • [45] Quantized Consensus of First-order Multi-agent Systems under Directed Communication Topologies
    Li, Jianzhen
    Ye, Shuxia
    2013 10TH IEEE INTERNATIONAL CONFERENCE ON CONTROL AND AUTOMATION (ICCA), 2013, : 1150 - 1153
  • [46] An overview on quantized consensus and consensus with limited data rate of multi-agent systems
    Li, T. (litao@amss.ac.cn), 1805, Science Press (39):
  • [47] Edges' Riemannian energy analysis for synchronization of multi-agent nonlinear systems over undirected weighted graphs
    Cellier-Devaux, Alexandre
    Astolfi, Daniele
    Andrieu, Vincent
    AUTOMATICA, 2025, 171
  • [48] Multi-agent consensus over signed graphs with switching topology
    Wang, Lingfei
    Fontan, Angela
    Hong, Yiguang
    Shi, Guodong
    Altafini, Claudio
    2022 EUROPEAN CONTROL CONFERENCE (ECC), 2022, : 2216 - 2221
  • [49] Broadcast Control of Multi-Agent Systems with Quantized Measurements
    Tanaka, Yosuke
    Azuma, Shun-ichi
    Sugie, Toshiharu
    IEICE TRANSACTIONS ON FUNDAMENTALS OF ELECTRONICS COMMUNICATIONS AND COMPUTER SCIENCES, 2014, E97A (03): : 830 - 839
  • [50] Mean square consensus of multi-agent systems over fading networks with directed graphs
    Xu, Liang
    Zheng, Jianying
    Xiao, Nan
    Xie, Lihua
    AUTOMATICA, 2018, 95 : 503 - 510
12345