Scalable Exact Output Synchronization of Discrete-Time Multi-Agent Systems in the Presence of Disturbances and Measurement Noise With Known Frequencies

TL;DR

This paper presents a scalable distributed protocol for exact output synchronization of discrete-time multi-agent systems, effectively handling disturbances and measurement noise without relying on network topology or agent count.

Contribution

It introduces a novel protocol that uses only agent model information, enabling scalable synchronization in heterogeneous systems with disturbances and noise.

Findings

Protocol achieves exact synchronization despite disturbances.

Numerical simulations confirm scalability and robustness.

Applicable to both homogeneous and heterogeneous systems.

Abstract

This paper aims to achieve scalable exact output and regulated output synchronization for discrete-time multi-agent systems in presence of disturbances and measurement noise with known frequencies. Both homogeneous and heterogeneous multi-agent systems are considered, with parts of agents' states accessible in the latter case. The key contribution of this paper is on the distributed protocol that only uses the information of agent models, rather than the communication network information and the agent number, so as to achieve the scalable exact synchronization under disturbances and measurement noise. The validity of the protocol is verified by numerical simulations with arbitrarily chosen number of agents.