Information consensus for multi-agent systems via nonlinear protocols

In multi-agent system, the communication topology of agent network plays a very important role in its consensus problem. In this paper, we consider a new consensus nonlinear protocol for networks of dynamic agents that allow the agents to agree in a distributed and cooperative fashion. We consider the network with external disturbance. We use a Lyapunov approach to prove that the asymptotical consensus can be reached. Finally, we perform a simulation study to verify the efficiency of the proposed scheme.

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

[2]  Randal W. Beard,et al.  Consensus seeking in multiagent systems under dynamically changing interaction topologies , 2005, IEEE Transactions on Automatic Control.

[3]  Tianping Chen,et al.  Synchronization of coupled connected neural networks with delays , 2004, IEEE Transactions on Circuits and Systems I: Regular Papers.

[4]  S. Bhat,et al.  On robust control algorithms for nonlinear network consensus protocols , 2008, 2008 American Control Conference.

[5]  Tianping Chen,et al.  Consensus problem in directed networks of multi-agents via nonlinear protocols☆ , 2009 .

[6]  Tianping Chen,et al.  Synchronization analysis of linearly coupled networks of discrete time systems , 2004 .

[7]  Luc Moreau,et al.  Stability of multiagent systems with time-dependent communication links , 2005, IEEE Transactions on Automatic Control.

[8]  Wenlian Lu,et al.  Synchronization of Discrete-Time Dynamical Networks with Time-Varying Couplings , 2008, SIAM J. Math. Anal..

[9]  Sergio Barbarossa,et al.  Decentralized Maximum-Likelihood Estimation for Sensor Networks Composed of Nonlinearly Coupled Dynamical Systems , 2006, IEEE Transactions on Signal Processing.

[10]  Randal W. Beard,et al.  Synchronized multiple spacecraft rotations , 2002, Autom..

[11]  Richard M. Murray,et al.  Consensus problems in networks of agents with switching topology and time-delays , 2004, IEEE Transactions on Automatic Control.

[12]  J. Toner,et al.  Flocks, herds, and schools: A quantitative theory of flocking , 1998, cond-mat/9804180.

[13]  Richard M. Murray,et al.  INFORMATION FLOW AND COOPERATIVE CONTROL OF VEHICLE FORMATIONS , 2002 .

[14]  Sanjay P. Bhat,et al.  Finite-Time Semistability and Consensus for Nonlinear Dynamical Networks , 2008, IEEE Transactions on Automatic Control.

[15]  Xiwei Liu Distributed nonlinear control algorithms for network consensus , 2010 .

[16]  Tianping Chen,et al.  Exponential synchronization of nonlinear coupled dynamical networks with a delayed coupling , 2007 .

[17]  R. Pesenti,et al.  Distributed Consensus in Networks of Dynamic Agents , 2005, Proceedings of the 44th IEEE Conference on Decision and Control.

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

[19]  Timothy W. McLain,et al.  Coordinated target assignment and intercept for unmanned air vehicles , 2002, Proceedings 2002 IEEE International Conference on Robotics and Automation (Cat. No.02CH37292).