Leader-following almost surely exponential consensus for general linear multi-agent systems with stochastic disturbances
Birong Zhao, Yunjian Peng, Feiqi Deng · 2017
This paper deals with the leader-following consensus tracking problem for general linear multi-agent systems driven by Brownian motion, which is more general and can better describe the actual systems; A directed graph is used to represent the communication topology of the multi-agent network. By using the auxiliary function method and stochastic Itô integrals techniques with Brownian motion, sufficient criteria are derived for exponential consensus tracking in the sense of almost surely. A simulation example is utilized to illustrate the usefulness of the proposed control protocol.