An Online Distributed Algorithm for Identifying Non-Linear Models of Multi-Agent Systems

This paper presents an online distributed algorithm for identifying non-linear models of multi-agent systems, which enables real-time adaptation to disturbances and reduces communication bandwidth requirements compared to traditional centralized approaches.