Robust consensus of a class of linear multi-agent systems via sampled-data control
Kexin Liu, Henghui Zhu, Jinhu Lü · 2015
Multi-agent systems (MASs) are universal in nature, including biological, physical, and engineering systems. This paper investigates the robust consensus of a class of linear MASs with transmission noise. In detail, we develop a new framework to design an observer-based consensus protocol utilizing sampled data. That is, some sufficient conditions are derived to guarantee the existence of sampled period for the robust consensus of MASs with connected and undirected structure. Finally, numerical simulations are also given to validate our proposed methods.