Consensus Analysis of Connected Vehicle System with Stochastic Multiplicative Noises

Abstract

As an application of the Internet of Things, the connected vehicle system (CVS) plays an important role in smart city. While the vehicles in a CVS inevitably suffer with environmental noise interference, which affect the stability of the whole system. So in this paper, the consensus of autonomous CVS is researched in the presence of stochastic multiplicative noise. The parameter restriction method is first proposed which achieves the control requirements by restricting the parameters of the designed control protocol. Then we optimize this method so that it can resist the noise with slightly larger intensity. However, this method has limited ability to resist noise of large intensity. Next we propose another method that is called the interaction network-based method, which can ensure the convergence of the system through introducing a virtual system that interacts with the original CVS. By selecting parameters of the interaction network properly, such method has a good performance in resisting larger intensity noise. In the mentioned two methods, the convergent results are derived to ensure the stability of the platoon by using the stochastic differential equation(SDE). Finally, the validity of the proposed methods is verified in the designed simulations.