Resilient Containment Control of Multi-Agent Networks in Adversarial Environment

被引:0
|
作者
Kuo, Chan-Yuan [1 ]
Du, Bin [2 ]
Sun, Dengfeng [1 ]
机构
[1] Purdue Univ, Sch Aeronaut & Astronaut, W Lafayette, IN 47907 USA
[2] Nanjing Univ Aeronaut & Astronaut, Coll Automat Engn, Nanjing 210016, Peoples R China
关键词
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
We study the problem of containment control in an adversarial environment, where some of the agents may be adversarial. We identify the security issue of a containment control protocol in such adversarial environment. We propose a resilient containment control protocol that ensures the state of each non-adversarial (normal) follower agent converges to the convex hull spanned by the states of the normal leader agents. Specifically, our protocol is based on the method of resilient convex combination and works for agents with a vector state. For multi-agent networks consisting of one follower agent and multiple leaders, we provide a sufficient condition on the communication topology that guarantees the success of our proposed protocol. In addition, we provide a set of numerical simulations to demonstrate the success of our protocol and verify our theoretical results.
引用
收藏
页码:7533 / 7538
页数:6
相关论文
共 50 条
  • [1] Resilient Containment Control in Adversarial Environment
    Yan, Jiaqi
    Wen, Changyun
    IEEE TRANSACTIONS ON CONTROL OF NETWORK SYSTEMS, 2020, 7 (04): : 1951 - 1959
  • [2] Resilient Containment Control for Multi-agent Systems with Packet Dropouts
    Chen, Wei
    Ding, Derui
    Zhang, Sunjie
    Liu, Shuai
    2018 37TH CHINESE CONTROL CONFERENCE (CCC), 2018, : 6800 - 6805
  • [3] Containment control of multi-agent systems in a noisy communication environment
    Wang, Yunpeng
    Cheng, Long
    Hou, Zeng-Guang
    Tan, Min
    Wang, Ming
    AUTOMATICA, 2014, 50 (07) : 1922 - 1928
  • [4] Finite Time Containment Control of Nonlinear Multi-agent Networks
    Yu, Di
    Bai, Lijuan
    Ren, Weijian
    2013 25TH CHINESE CONTROL AND DECISION CONFERENCE (CCDC), 2013, : 707 - 712
  • [5] Data-driven robust containment control of multi-agent networks
    Yu D.
    Kongzhi Lilun Yu Yingyong/Control Theory and Applications, 2020, 37 (09): : 1963 - 1970
  • [6] Resilient Multi-Agent Reinforcement Learning with Adversarial Value Decomposition
    Phan, Thomy
    Belzner, Lenz
    Gabor, Thomas
    Sedlmeier, Andreas
    Ritz, Fabian
    Linnhoff-Popien, Claudia
    THIRTY-FIFTH AAAI CONFERENCE ON ARTIFICIAL INTELLIGENCE, THIRTY-THIRD CONFERENCE ON INNOVATIVE APPLICATIONS OF ARTIFICIAL INTELLIGENCE AND THE ELEVENTH SYMPOSIUM ON EDUCATIONAL ADVANCES IN ARTIFICIAL INTELLIGENCE, 2021, 35 : 11308 - 11316
  • [7] Containment control of hybrid multi-agent systems
    Chen, Yarui
    Zhao, Qi
    Zheng, Yuanshi
    Zhu, Yunru
    INTERNATIONAL JOURNAL OF ROBUST AND NONLINEAR CONTROL, 2022, 32 (03) : 1355 - 1373
  • [8] Multi-Agent Diverse Generative Adversarial Networks
    Ghosh, Arnab
    Kulharia, Viveka
    Namboodiri, Vinay
    Torr, Philip H. S.
    Dokania, Puneet K.
    2018 IEEE/CVF CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION (CVPR), 2018, : 8513 - 8521
  • [9] Bipartite Containment Control of Multi-Agent Systems
    Ahsan, Muhammad
    Ma, Qian
    2019 IEEE/ASME INTERNATIONAL CONFERENCE ON ADVANCED INTELLIGENT MECHATRONICS (AIM), 2019, : 895 - 900
  • [10] Containment control of heterogeneous multi-agent systems
    Zheng, Yuanshi
    Wang, Long
    INTERNATIONAL JOURNAL OF CONTROL, 2014, 87 (01) : 1 - 8