Finite-time adaptive consensus of stochastic multi-agent systems with node-based and edge-based adaptive law design methods

This article investigates the finite-time consensus control for stochastic multi-agent systems (SMASs) by using adaptive techniques. First, we propose a finite-time adaptive consensus protocol for SMASs with node-based adaptive law design method. Second, a finite-time adaptive consensus protocol is also proposed for SMASs by adding a dynamical scaling parameter to the weights on the edges of the communication graph. Finally, two simulation examples are provided to verify the effectiveness of the two consensus protocols.