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
  • [31] Continuous-time quantized consensus: Convergence of Krasovskii solutions
    Frasca, Paolo
    SYSTEMS & CONTROL LETTERS, 2012, 61 (02) : 273 - 278
  • [32] Delay Robustness of Consensus Algorithms: Continuous-Time Theory
    Proskurnikov, Anton V.
    Calafiore, Giuseppe Carlo
    IEEE TRANSACTIONS ON AUTOMATIC CONTROL, 2023, 68 (09) : 5301 - 5316
  • [33] Necessary and Sufficient Conditions for Consensus of Continuous-Time Multiagent Systems With Markovian Switching Topologies and Communication Noises
    Li, Mengling
    Deng, Feiqi
    IEEE TRANSACTIONS ON CYBERNETICS, 2020, 50 (07) : 3264 - 3270
  • [34] Consensus of Quantum Networks with Continuous-time Markovian Dynamics
    Shi, Guodong
    Dong, Daoyi
    Petersen, Ian R.
    Johansson, Karl Henrik
    2014 11TH WORLD CONGRESS ON INTELLIGENT CONTROL AND AUTOMATION (WCICA), 2014, : 307 - 312
  • [35] Optimizing the Convergence Rate of the Continuous-Time Quantum Consensus
    Jafarizadeh, Saber
    IEEE TRANSACTIONS ON AUTOMATIC CONTROL, 2017, 62 (12) : 6122 - 6135
  • [36] Consensus of high-order continuous-time multi-agent systems with time-delays and switching topologies
    杨谈
    金跃辉
    王伟
    史莹晶
    Chinese Physics B, 2011, (02) : 168 - 173
  • [37] Consensus of high-order continuous-time multi-agent systems with time-delays and switching topologies
    Yang Tan
    Jin Yue-Hui
    Wang Wei
    Shi Ying-Jing
    CHINESE PHYSICS B, 2011, 20 (02)
  • [38] TRANSIENT ANALYSIS OF STRUCTURAL MEMBERS USING A CONTINUOUS SPACE CONTINUOUS-TIME METHOD
    STRENKOWSKI, JS
    CHU, FH
    PILKEY, WD
    COMPUTERS & STRUCTURES, 1981, 14 (1-2) : 89 - 95
  • [39] Finding attractors of continuous-time systems by parameter switching
    Danca, Marius-F.
    Romera, Miguel
    Pastor, Gerardo
    Montoya, Fausto
    NONLINEAR DYNAMICS, 2012, 67 (04) : 2317 - 2342
  • [40] Policy Iteration for Optimal Switching with Continuous-time Dynamics
    Sardarmehni, Tohid
    Heydari, Ali
    2016 INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS (IJCNN), 2016, : 3536 - 3543