Resilient Distributed Parameter Estimation for Sensor Networks Against Sparse-Varying Attacks

This article investigates resilient distributed parameter estimation (RDPE) against sensor attacks with variable sparsity. First, the fixed sparsity of attacks is relaxed to variable sparsity over a specific time scale, with a sparse-varying sensor attack model proposed. Then, to counteract such att...

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Veröffentlicht in:	IEEE transactions on systems, man, and cybernetics. Systems man, and cybernetics. Systems, 2024-12, Vol.54 (12), p.7331-7340
Hauptverfasser:	Lei, Xuqiang, Wen, Guanghui, Chen, Guanrong
Format:	Artikel
Sprache:	eng
Schlagworte:	Brain modeling Cyber-physical system Cyber-physical systems Estimation Numerical models Observers Parameter estimation Particle measurements resilient distributed parameter estimation (RDPE) sliding window sparse-varying attack
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