A hidden Markov model for route and destination prediction
Yassine Lassoued, Julien Monteil, et al.
ITSC 2017
This paper is concerned with the study of common noise-induced synchronization phenomena in complex networks of diffusively coupled nonlinear systems. We consider the case where common noise propagation depends on the network state and, as a result, the noise diffusion process at the nodes depends on the state of the network. For such networks, we present an algebraic sufficient condition for the onset of synchronization, which depends on the network topology, the dynamics at the nodes, the coupling strength and the noise diffusion. Our result explicitly shows that certain noise diffusion processes can drive an unsynchronized network towards synchronization. In order to illustrate the effectiveness of our result, we consider two applications: collective decision processes and synchronization of chaotic systems. We explicitly show that, in the former application, a sufficiently large noise can drive a population towards a common decision, while, in the latter, we show how common noise can synchronize a network of Lorentz chaotic systems.
Yassine Lassoued, Julien Monteil, et al.
ITSC 2017
Ezra Zeheb, Robert Shorten, et al.
ACC 2013
Shaun Sweeney, Rodrigo Ordonez-Hurtado, et al.
IEEE T-ITS
Yingqi Gu, Florian Häusler, et al.
International Journal of Control