Scalable δ -level coherent state synchronization of multi-agent systems
with adaptive protocols and bounded disturbances
Abstract
In this paper, we study scalable δ–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 δ without
a-priori information about the disturbance.