Connectivity and synchronization of Vicsek model

The collective behavior of multi-agent systems is an important studying point for the investigation of complex systems, and a basic model of multi-agent systems is the so called Vicsek model, which possesses some key features of complex systems, such as dynamic behavior, local interaction, changing neighborhood, etc. This model looks simple, but the nonlinearly coupled relationship makes the theoretical analysis quite complicated. Jadbabaie et al. analyzed the linearized heading equations in this model and showed that all agents will synchronize eventually, provided that the neighbor graphs associated with the agents’ positions satisfy a certain connectivity condition. Much subsequent research effort has been devoted to the analysis of the Vicsek model since the publication of Jadbabaie’s work. However, an unresolved key problem is when such a connectivity is satisfied. This paper given a sufficient condition to guarantee the synchronization of the Vicsek model, which is imposed on the model parameters only. Moreover, some counterexamples are given to show that the connectivity of the neighbor graphs is not sufficient for synchronization of the Vicsek model if the initial headings are allowed to be in [0, 2π), which reveals some fundamental differences between the Vicsek model and its linearized version.

[1]  Vicsek,et al.  Novel type of phase transition in a system of self-driven particles. , 1995, Physical review letters.

[2]  Craig W. Reynolds Flocks, herds, and schools: a distributed behavioral model , 1998 .

[3]  Andrey V. Savkin,et al.  Coordinated collective motion of Groups of autonomous mobile robots: analysis of Vicsek's model , 2004, IEEE Transactions on Automatic Control.

[4]  V. Blondel,et al.  Convergence of different linear and non-linear Vicsek models , 2006 .

[5]  Lei Guo,et al.  Connectivity and Synchronization of Multi-agent Systems , 2006, 2006 Chinese Control Conference.

[6]  Felipe Cucker,et al.  Emergent Behavior in Flocks , 2007, IEEE Transactions on Automatic Control.

[7]  J. Wolfowitz Products of indecomposable, aperiodic, stochastic matrices , 1963 .

[8]  Ming Li,et al.  Soft Control on Collective Behavior of a Group of Autonomous Agents By a Shill Agent , 2006, J. Syst. Sci. Complex..

[9]  Jie Lin,et al.  Coordination of groups of mobile autonomous agents using nearest neighbor rules , 2003, IEEE Trans. Autom. Control..

[10]  Liu Zhixin,et al.  Synchronization of Vicsek Model with Large Population , 2006, 2007 Chinese Control Conference.

[11]  L. Wang,et al.  Robust consensus of multi-agent systems with noise , 2006, 2007 Chinese Control Conference.

[12]  Lin Wang,et al.  Robust consensus of multi-agent systems with noise , 2009, Science in China Series F: Information Sciences.

[13]  Gongguo Tang,et al.  Convergence of a Class of Multi-Agent Systems In Probabilistic Framework , 2007, 2007 46th IEEE Conference on Decision and Control.

[14]  Charles R. Johnson,et al.  Matrix analysis , 1985, Statistical Inference for Engineers and Data Scientists.