Resilient Multiscale Coordination Control against Adversarial Nodes
AbstractMultiscale consensus has been studied recently as a new concept in the field of multi-agent systems, which is able to accommodate many complicated coordination control tasks where values are measured in different scales due to, e.g., the constraints of physical environment. In this paper, we investigate the problem of resilient multiscale coordination control against a set of adversarial or non-cooperative nodes in directed networks. We design a multiscale filtering algorithm based upon local information which can withstand both faulty and Byzantine nodes. Building on the concept of network robustness, we establish necessary and sufficient conditions guaranteeing multiscale consensus with general time varying scales in the presence of globally bounded as well as locally bounded threats. In particular, for a network containing at most
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Shang, Y. Resilient Multiscale Coordination Control against Adversarial Nodes. Energies 2018, 11, 1844.
Shang Y. Resilient Multiscale Coordination Control against Adversarial Nodes. Energies. 2018; 11(7):1844.Chicago/Turabian Style
Shang, Yilun. 2018. "Resilient Multiscale Coordination Control against Adversarial Nodes." Energies 11, no. 7: 1844.
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