A resilient continuous-time consensus method using a switching topology

被引:5
|
作者
Ramos, Guilherme [1 ,2 ]
Silvestre, Daniel [3 ,4 ]
Aguiar, Pedro [5 ]
机构
[1] Univ Lisbon, Inst Super Tecn, P-1049001 Lisbon, Portugal
[2] Univ Lisbon, Fac Ciencias, Dept LASIGE, Dept Informat, Lisbon, Portugal
[3] Univ Lusofona, COPELABS, Lisbon, Portugal
[4] NOVA Univ Lisbon, Fac Sci & Technol, Dept Elect & Comp Engn, Lisbon, Portugal
[5] Univ Porto, Fac Engn, Dept Elect & Comp Engn, Porto, Portugal
关键词
Agents and autonomous systems; Consensus methods; Switching systems; Reputation systems; Resilient systems; MOBILE AUTONOMOUS AGENTS; REPUTATION SYSTEMS; TRUST;
D O I
10.1016/j.sysconle.2022.105381
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 paper addresses the design problem of a resilient consensus algorithm for agents with continuous -time dynamics. The main proposal is that by incorporating a switching mechanism selecting the network topology to avoid malicious nodes from communicating, the remaining nodes will converge to a value closer to the original steady-state without the attacker being present. The switching occurs at discrete-time steps where each node evaluates the reputation score of the neighbors and deactivates/ignores edges in the network. We explore the proposed method with illustrative examples ranging from static topologies to dynamic ones, considering directed and undirected graphs, presenting several attacking scenarios that are successfully mitigated with our method. Finally, we compare the best undetectable attacking strategy and the commonly used approach named MSR, highlighting the advantages of our method.(c) 2022 The Author(s). Published by Elsevier B.V. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
引用
收藏
页数:9
相关论文
共 50 条
  • [1] Unbiased Kalman Filters for Consensus of Continuous-Time Sensor Networks with Switching Topology
    Li, Zonggang
    Gao, Pu
    Yang, Xinzhu
    Li, Zhongxue
    ISIE: 2009 IEEE INTERNATIONAL SYMPOSIUM ON INDUSTRIAL ELECTRONICS, 2009, : 671 - 675
  • [2] Resilient Consensus of Continuous-Time Linear Networked Systems
    Bai, Yuqi
    Wang, Jinzhi
    IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS II-EXPRESS BRIEFS, 2022, 69 (08) : 3500 - 3504
  • [3] Resilient Continuous-Time Consensus in Fractional Robust Networks
    LeBlanc, Heath J.
    Zhang, Haotian
    Sundaram, Shreyas
    Koutsoukos, Xenofon
    2013 AMERICAN CONTROL CONFERENCE (ACC), 2013, : 1237 - 1242
  • [4] Asynchronous consensus of continuous-time Lagrangian systems with switching topology and non-uniform time delay
    Mirzaei, Morteza
    Atrianfar, Hajar
    Mehdipour, Noushin
    Abdollahi, Farzaneh
    ROBOTICS AND AUTONOMOUS SYSTEMS, 2016, 83 : 106 - 114
  • [5] Resilient consensus in continuous-time networks with ?-hop communication and time delay
    Shang, Yilun
    SYSTEMS & CONTROL LETTERS, 2023, 175
  • [6] Asynchronous consensus in continuous-time multi-agent systems with switching topology and time-varying delays
    Xiao, Feng
    Wang, Long
    IEEE TRANSACTIONS ON AUTOMATIC CONTROL, 2008, 53 (08) : 1804 - 1816
  • [7] The projection method for continuous-time consensus seeking
    Agaev, R. P.
    Chebotarev, P. Yu.
    AUTOMATION AND REMOTE CONTROL, 2015, 76 (08) : 1436 - 1445
  • [8] The projection method for continuous-time consensus seeking
    R. P. Agaev
    P. Yu. Chebotarev
    Automation and Remote Control, 2015, 76 : 1436 - 1445
  • [9] Switching Topology for Resilient Consensus using Wi-Fi Signals
    Wheeler, Thomas
    Bharathi, Ezhil
    Gil, Stephanie
    2019 INTERNATIONAL CONFERENCE ON ROBOTICS AND AUTOMATION (ICRA), 2019, : 2018 - 2024
  • [10] Continuous-Time Switching Regression Method with Unknown Switching Points
    Knopov, P. S.
    Korkhin, A. S.
    CYBERNETICS AND SYSTEMS ANALYSIS, 2020, 56 (01) : 68 - 80