Consensus of Two Leader-Following Multi-agent Systems between the Cooperation Network and the Competition Network

In this paper, a cooperation network and a competition network consensus problem of multi-agent systems is study. The communication topology among agent is characterized by a directed and connected graph. And Communication between the cooperation network and the competition network through their respective leaders. The two networks can be made to reach stable and consensus by setting parameters and between the two leaders. Sufficient conditions are derived to reach a global consensus based on algebraic graph , matrix theory, and stability theory. With theoretical analysis, it obtains the value range of the parameters. For the case of switching topology, a sufficient condition is obtained under the assumption that the total period over which the leader is globally reachable is sufficiently large. Finally, through the MATLAB simulation, an example is presented to illustrate the correctness of the theoretical results.

[1]  George J. Pappas,et al.  Flocking in Fixed and Switching Networks , 2007, IEEE Transactions on Automatic Control.

[2]  Albert-László Barabási,et al.  Controllability of complex networks , 2011, Nature.

[3]  Wenwu Yu,et al.  Consensus of multi-agent systems in the cooperation-competition network with inherent nonlinear dynamics: A time-delayed control approach , 2015, Neurocomputing.

[4]  Jiangping Hu,et al.  Brief paper: Leader-following consensus for multi-agent systems via sampled-data control , 2011 .

[5]  Ziyang Meng,et al.  Leaderless and Leader-Following Consensus With Communication and Input Delays Under a Directed Network Topology , 2011, IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics).

[6]  Guangfu Ma,et al.  Distributed Coordinated Tracking With a Dynamic Leader for Multiple Euler-Lagrange Systems , 2011, IEEE Transactions on Automatic Control.

[7]  Daizhan Cheng,et al.  Leader-following consensus of second-order agents with multiple time-varying delays , 2010, Autom..

[8]  Wei Ren Consensus tracking under directed interaction topologies: Algorithms and experiments , 2008, ACC.

[9]  Kevin L. Moore,et al.  High-Order and Model Reference Consensus Algorithms in Cooperative Control of MultiVehicle Systems , 2007 .

[10]  Yang Tang,et al.  Controller design for synchronization of an array of delayed neural networks using a controllable probabilistic PSO , 2011, Inf. Sci..

[11]  P. Wang,et al.  Coordination and control of multiple microspacecraft moving in formation , 1996 .

[12]  Jinde Cao,et al.  Cluster synchronization in nonlinearly coupled delayed networks of non-identical dynamic systems , 2013 .

[13]  E.M. Atkins,et al.  A survey of consensus problems in multi-agent coordination , 2005, Proceedings of the 2005, American Control Conference, 2005..

[14]  Ahmed Rahmani,et al.  Distributed leader-following consensus for second-order multi-agent systems with nonlinear inherent dynamics , 2014, Int. J. Syst. Sci..

[15]  Tongwen Chen,et al.  Finite-time consensus of multi-agent systems with directed and intermittent links , 2011, Proceedings of the 30th Chinese Control Conference.

[16]  Alessandro Giua,et al.  Finite-Time Consensus for Switching Network Topologies with Disturbances , 2013 .

[17]  Long Wang,et al.  Finite-time weighted average consensus with respect to a monotonic function and its application , 2011, Syst. Control. Lett..

[18]  Long Wang,et al.  Finite-time consensus of heterogeneous multi-agent systems with and without velocity measurements , 2012, Syst. Control. Lett..

[19]  Reza Olfati-Saber,et al.  Consensus and Cooperation in Networked Multi-Agent Systems , 2007, Proceedings of the IEEE.

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

[21]  Reza Olfati-Saber,et al.  Flocking for multi-agent dynamic systems: algorithms and theory , 2006, IEEE Transactions on Automatic Control.

[22]  Wei Ren,et al.  Multi-vehicle consensus with a time-varying reference state , 2007, Syst. Control. Lett..

[23]  Long Wang,et al.  Consensus of heterogeneous multi-agent systems , 2011 .

[24]  Manfredi Maggiore,et al.  Distributed Control and Analysis of Coupled Cell Systems , 2008 .

[25]  Christos G. Cassandras,et al.  Asynchronous Distributed Optimization With Event-Driven Communication , 2010, IEEE Transactions on Automatic Control.

[26]  Long Wang,et al.  Finite-time formation control for multi-agent systems , 2009, Autom..

[27]  Jinde Cao,et al.  Adaptive Lag Synchronization for Competitive Neural Networks With Mixed Delays and Uncertain Hybrid Perturbations , 2010, IEEE Transactions on Neural Networks.

[28]  Wenwu Yu,et al.  Distributed Consensus Filtering in Sensor Networks , 2009, IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics).

[29]  Ziyang Meng,et al.  Distributed finite-time attitude containment control for multiple rigid bodies , 2010, Autom..

[30]  Guangming Xie,et al.  Leader-following formation control of multiple mobile vehicles , 2007 .

[31]  Zhengtao Ding,et al.  Consensus Output Regulation of a Class of Heterogeneous Nonlinear Systems , 2013, IEEE Transactions on Automatic Control.

[32]  Long Wang,et al.  Consensus seeking of high-order dynamic multi-agent systems with fixed and switching topologies , 2010, Int. J. Control.

[33]  Yiguang Hong,et al.  Distributed Observers Design for Leader-Following Control of Multi-Agent Networks (Extended Version) , 2017, 1801.00258.