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

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.Comment: 18 pages, 11 figures, This is a preprint of the paper "Scalable {\delta}-Level Coherent State Synchronization of Multi-Agent Systems with Adaptive Protocols and Bounded Disturbances" submitted to the International Journal of Robust and Nonlinear Contro

Almost regulated output synchronization for heterogeneous time-varying networks of non-introspective agents and without exchange of controller states

We consider almost regulated output synchronization for heterogeneous directed networks with external stochastic disturbances where agents are non-introspective (i.e. agents have no access to their own states or outputs). A purely decentralized time-invariant protocol based on a low-and-high gain method is designed for each agent to achieve almost regulated output synchronization while reducing the impact of disturbances on the synchronization error. It is also shown that this protocol can work in the case of time-varying graphs