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