Towards resilient average consensus in multi-agent systems: a detection and compensation approach
Author:
Publisher
Zhejiang University Press
Subject
Electrical and Electronic Engineering,Computer Networks and Communications,Hardware and Architecture,Signal Processing
Link
https://link.springer.com/content/pdf/10.1631/FITEE.2300467.pdf
Reference23 articles.
1. Dibaji SM, Ishii H, Tempo R, 2018. Resilient randomized quantized consensus. IEEE Trans Autom Contr, 63(8):2508–2522. https://doi.org/10.1109/TAC.2017.2771363
2. Ge XH, Han QL, Wu Q, et al., 2023. Resilient and safe platooning control of connected automated vehicles against intermittent denial-of-service attacks. IEEE/CAA J Autom Sin, 10(5):1234–1251. https://doi.org/10.1109/JAS.2022.105845
3. Gentz R, Wu SX, Wai HT, et al., 2016. Data injection attacks in randomized gossiping. IEEE Trans Signal Inform Process Netw, 2(4):523–538. https://doi.org/10.1109/TSIPN.2016.2614898
4. Grimmett G, Stirzaker D, 2020. Probability and Random Processes. Oxford University Press, Oxford, USA.
5. Hadjicostis CN, Domínguez-García AD, Vaidya NH, 2012. Resilient average consensus in the presence of heterogeneous packet dropping links. Proc 51st IEEE Conf on Decision Control, p.106–111. https://doi.org/10.1109/CDC.2012.6426666
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