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A global approach to fault detection in multi-agent systems with switching topologies subject to cyber-attacks

Abstract : In this paper, a distributed methodology is proposed for attack detection and isolation in multi-agent systems (MAS) with high order integrator dynamics. The proposed methodology is capable of detecting an attack on a node/agent and on an edge/communication link anywhere in the fleet and identify its nature even in the presence of a switching communication topology. In order to effectively achieve this, a cascade of predefined-time switched observers is introduced for each agent to achieve a fast estimate of the global state of the MAS whereby the settling time is an a-priori user defined parameter, independently of the initial conditions. Then, through a conventional consensus algorithm, a set of residuals are generated by the agents that is capable of detecting and isolating attacks on nodes and edges in the network.
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https://hal-uphf.archives-ouvertes.fr/hal-03406876
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Submitted on : Thursday, October 28, 2021 - 10:28:04 AM
Last modification on : Monday, June 27, 2022 - 1:40:21 PM

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Anass Taoufik, Michael Defoort, Mohamed Djemai, Krishna Busawon. A global approach to fault detection in multi-agent systems with switching topologies subject to cyber-attacks. 5th IEEE-International Conference on Control, Automation and Diagnosis, Nov 2021, Grenoble, France. ⟨10.1109/ICCAD52417.2021.9638777⟩. ⟨hal-03406876⟩

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