Regular Papers

International Journal of Control, Automation and Systems 2023; 21(7): 2112-2123

Published online May 4, 2023

https://doi.org/10.1007/s12555-022-0261-y

© The International Journal of Control, Automation, and Systems

Resilient Consensus Control for Linear Multi-agent System Against the False Data Injection Attacks

Meirong Wang, Jianqiang Hu*, and Jinde Cao

Southeast University

Abstract

This paper is concerned with the resilient consensus control problem of the linear multi-agent system under the false data injection attacks, where each agent may receive the injected false data by attackers from its neighbours through communication links. Due to the existence of the false data, the desired consensus of multi-agent can not be reached by the general distributed consensus algorithms. By constructing an extended state observer to estimate the state and the injected false data towards each agent, a distributed resilient consensus control algorithm is designed to offset the negative effect of the attacks. Firstly, a sufficient condition is derived for the undirected multiagent system under a bounded and decaying false data injection. Secondly, a sufficient and necessary condition is provided for the directed multi-agent system under the false data injection with decaying rate. Finally, the simulation results illustrate the effectiveness of the proposed consensus algorithms against the false data attacks.

Keywords Distributed control, extended state observer, false data injection attacks, multi-agent system, resilient consensus.

Article

Regular Papers

International Journal of Control, Automation and Systems 2023; 21(7): 2112-2123

Published online July 1, 2023 https://doi.org/10.1007/s12555-022-0261-y

Copyright © The International Journal of Control, Automation, and Systems.

Resilient Consensus Control for Linear Multi-agent System Against the False Data Injection Attacks

Meirong Wang, Jianqiang Hu*, and Jinde Cao

Southeast University

Abstract

This paper is concerned with the resilient consensus control problem of the linear multi-agent system under the false data injection attacks, where each agent may receive the injected false data by attackers from its neighbours through communication links. Due to the existence of the false data, the desired consensus of multi-agent can not be reached by the general distributed consensus algorithms. By constructing an extended state observer to estimate the state and the injected false data towards each agent, a distributed resilient consensus control algorithm is designed to offset the negative effect of the attacks. Firstly, a sufficient condition is derived for the undirected multiagent system under a bounded and decaying false data injection. Secondly, a sufficient and necessary condition is provided for the directed multi-agent system under the false data injection with decaying rate. Finally, the simulation results illustrate the effectiveness of the proposed consensus algorithms against the false data attacks.

Keywords: Distributed control, extended state observer, false data injection attacks, multi-agent system, resilient consensus.

IJCAS
February 2024

Vol. 22, No. 2, pp. 347~729

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