4.6 Article

Cooperative attack tolerant tracking control for multi-agent system with a resilient switching scheme

期刊

NEUROCOMPUTING
卷 409, 期 -, 页码 372-380

出版社

ELSEVIER
DOI: 10.1016/j.neucom.2020.06.087

关键词

Multi-agent system; Sensor attacks; Cooperative attack tolerant tracking control; Resilient switching scheme; Networked multi-axis motion control system

资金

  1. National Natural Science Foundation of China [61803334, 61822311, 61673351, 61703148]
  2. Zhejiang Provincial Natural Science Foundation of China [LQ18F030012]
  3. Natural Science Foundation of Heilongjiang Province [F2017023]
  4. State Scholarship Fund of China Scholarship Council [201908330040]
  5. Outstanding Youth Fund of Heilongjiang University [JCL201903]
  6. NSFC-Zhejiang Joint Fund for the Integration of Industrialization and Informatization [U1709213]

向作者/读者索取更多资源

This paper studies the cooperative attack tolerant tracking control problem for multi-agent systems under sensor attacks. A group of distributed adaptive state observers with a resilient switching scheme is proposed to reconstruct the states, then the tracking control strategy is designed based on the estimates. It is shown that both of the estimation and the attack tolerance control performances are ensured despite of multiple sensor attacks and the disturbances. Finally, the experimental results of networked multi-axis motion control show the effectiveness of the proposed method. (C) 2020 Elsevier B.V. All rights reserved.

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