Matrix-weighted consensus with leader-following topologies
Minh Hoang Trinh, Mengbin Ye, Hyo‐Sung Ahn, Brian D. O. Anderson · 2017
In this paper, we report some results on a matrix-weight consensus algorithm. Specifically, the leader-following graph is studied in detail. We study conditions for reaching a consensus in two types of leader-following graphs using the matrix-weighted consensus algorithm. The results will be used to interpret several social behaviors. Simulation results are also provided to vindicate the mathematical analysis.