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In this paper, we study scalable {\delta}-Level coherent statesynchronization for multi-agent systems (MAS) where the agents are subject tobounded disturbances/noises. We propose a scale-free framework designed solelybased on the knowledge of agent models and agnostic to the communication graphsand size of the network. We define the level of coherency for each agent as thenorm of the weighted sum of the disagreement dynamics with its neighbors. Theobjective is to restrict the level of coherency of the network to {\delta}without a-priori information about the disturbances.

Scalable {\delta}-Level Coherent State Synchronization of Multi-Agent Systems in the Presence of Bounded Disturbances