Secure consensus with partial public protocols

被引:2
作者
Rong, Lina [1 ]
Xu, Shengyuan [2 ]
机构
[1] Nanjing Univ Posts & Telecommun, Sch Automat & Artificial Intelligence, Nanjing 210023, Jiangsu, Peoples R China
[2] Nanjing Univ Sci & Technol, Sch Automat, Nanjing 210094, Jiangsu, Peoples R China
关键词
Multi-agent system; Consensus; Partial public protocol; Authority management; Edge sensitivity; MULTIAGENT SYSTEMS; SYNCHRONIZATION; ALGORITHMS; NETWORKS;
D O I
10.1016/j.automatica.2022.110527
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Existing consensus designs require that the information of local control laws is open access. This is undesirable whenever the privacy of local interactions is concerned. In this paper, a different framework of the consensus protocol design with the consideration of authority management of accessing local controllers is provided, by using an edge-based implementation. In the scenario of the proposed designs, each local controller is realized by a parallel connection of a public element and a private element. The public elements are uniform and open access. However, the private elements are allowed to be significant nonuniform and are only known by the pairs of agents who share them. For both continuous-time multi-agent systems and their sampled-data counterparts, we provide the design criterions for the partial public protocols under both static and dynamic public elements, respectively. By exploring the edge sensitivity design approach, it is shown that the consensus can be achieved under the proposed protocols if the private control laws satisfy certain constraints dependent on the public ones and the network topologies. Numerical examples are also provided to illustrate the proposed design criterions.(c) 2022 Published by Elsevier Ltd.
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页数:8
相关论文
共 31 条
  • [1] A system-theoretic framework for privacy preservation in continuous-time multiagent dynamics
    Altafini, Claudio
    [J]. AUTOMATICA, 2020, 122
  • [2] Dynamics of Opinion Forming in Structurally Balanced Social Networks
    Altafini, Claudio
    [J]. PLOS ONE, 2012, 7 (06):
  • [3] Astrom K. J., 2010, Feedback Systems: An Introduction for Scientists and Engineers
  • [4] Multi-vehicle coordination for double-integrator dynamics under fixed undirected/directed interaction in a sampled-data setting
    Cao, Yongcan
    Ren, Wei
    [J]. INTERNATIONAL JOURNAL OF ROBUST AND NONLINEAR CONTROL, 2010, 20 (09) : 987 - 1000
  • [5] Distributed algorithms for reaching consensus on general functions
    Cortes, Jorge
    [J]. AUTOMATICA, 2008, 44 (03) : 726 - 737
  • [6] Time-Varying Formation Tracking for Second-Order Multi-Agent Systems Subjected to Switching Topologies With Application to Quadrotor Formation Flying
    Dong, Xiwang
    Zhou, Yan
    Ren, Zhang
    Zhong, Yisheng
    [J]. IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS, 2017, 64 (06) : 5014 - 5024
  • [7] Time-Varying Formation Control for Unmanned Aerial Vehicles: Theories and Applications
    Dong, Xiwang
    Yu, Bocheng
    Shi, Zongying
    Zhong, Yisheng
    [J]. IEEE TRANSACTIONS ON CONTROL SYSTEMS TECHNOLOGY, 2015, 23 (01) : 340 - 348
  • [8] Gupta N, 2020, Arxiv, DOI arXiv:1809.01794
  • [9] Preserving Data-Privacy With Added Noises: Optimal Estimation and Privacy Analysis
    He, Jianping
    Cai, Lin
    Guan, Xinping
    [J]. IEEE TRANSACTIONS ON INFORMATION THEORY, 2018, 64 (08) : 5677 - 5690
  • [10] On privacy vs. cooperation in multi-agent systems
    Katewa, Vaibhav
    Pasqualetti, Fabio
    Gupta, Vijay
    [J]. INTERNATIONAL JOURNAL OF CONTROL, 2018, 91 (07) : 1693 - 1707