Finite-Time Consensus of Multiagent Systems With a Switching Protocol

In this paper, we study the problem of finite-time consensus of multiagent systems on a fixed directed interaction graph with a new protocol. Existing finite-time consensus protocols can be divided into two types: 1) continuous and 2) discontinuous, which were studied separately in the past. In this paper, we deal with both continuous and discontinuous protocols simultaneously, and design a centralized switching consensus protocol such that the finite-time consensus can be realized in a fast speed. The switching protocol depends on the range of the initial disagreement of the agents, for which we derive an exact bound to indicate at what time a continuous or a discontinuous protocol should be selected to use. Finally, we provide two numerical examples to illustrate the superiority of the proposed protocol and design method.

[1]  M. Degroot Reaching a Consensus , 1974 .

[2]  F. Clarke Optimization And Nonsmooth Analysis , 1983 .

[3]  A. Bacciotti,et al.  Stability and Stabilization of Discontinuous Systems and Nonsmooth Lyapunov Functions , 1999 .

[4]  Dennis S. Bernstein,et al.  Finite-Time Stability of Continuous Autonomous Systems , 2000, SIAM J. Control. Optim..

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

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

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

[8]  M. Forti,et al.  Generalized Lyapunov approach for convergence of neural networks with discontinuous or non-Lipschitz activations , 2006 .

[9]  Jorge Cortés,et al.  Finite-time convergent gradient flows with applications to network consensus , 2006, Autom..

[10]  R. Jackson Inequalities , 2007, Algebra for Parents.

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

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

[13]  K. Fernow New York , 1896, American Potato Journal.

[14]  Randal W. Beard,et al.  Distributed Consensus in Multi-vehicle Cooperative Control - Theory and Applications , 2007, Communications and Control Engineering.

[15]  Long Wang,et al.  Asynchronous Consensus in Continuous-Time Multi-Agent Systems With Switching Topology and Time-Varying Delays , 2006, IEEE Transactions on Automatic Control.

[16]  Ligang Wu,et al.  Exponential stabilization of switched stochastic dynamical networks , 2009 .

[17]  Long Wang,et al.  Finite-time information consensus for multi-agent systems with fixed and switching topologies , 2009 .

[18]  Sanjay P. Bhat,et al.  Semistability, Finite-Time Stability, Differential Inclusions, and Discontinuous Dynamical Systems Having a Continuum of Equilibria , 2009, IEEE Transactions on Automatic Control.

[19]  Zongli Lin,et al.  Flocking of Multi-Agents With a Virtual Leader , 2009, IEEE Transactions on Automatic Control.

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

[21]  Ziyang Meng,et al.  Decentralized finite-time sliding mode estimators and their applications in decentralized finite-time formation tracking , 2010, Syst. Control. Lett..

[22]  Jinde Cao,et al.  Robust State Estimation for Neural Networks With Discontinuous Activations , 2010, IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics).

[23]  Long Wang,et al.  Finite-Time Consensus Problems for Networks of Dynamic Agents , 2007, IEEE Transactions on Automatic Control.

[24]  Lin Huang,et al.  Consensus of Multiagent Systems and Synchronization of Complex Networks: A Unified Viewpoint , 2016, IEEE Transactions on Circuits and Systems I: Regular Papers.

[25]  Xinghuo Yu,et al.  A Unified Approach to the Stability of Generalized Static Neural Networks With Linear Fractional Uncertainties and Delays , 2011, IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics).

[26]  Frank L. Lewis,et al.  Finite-time distributed consensus via binary control protocols , 2011, Autom..

[27]  Wenwu Yu,et al.  Consensus in Directed Networks of Agents With Nonlinear Dynamics , 2011, IEEE Transactions on Automatic Control.

[28]  Daniel W. C. Ho,et al.  Consensus Analysis of Multiagent Networks via Aggregated and Pinning Approaches , 2011, IEEE Transactions on Neural Networks.

[29]  Shihua Li,et al.  Finite-time consensus algorithm for multi-agent systems with double-integrator dynamics , 2011, Autom..

[30]  Guanrong Chen,et al.  Adaptive second-order consensus of networked mobile agents with nonlinear dynamics , 2011, Autom..

[31]  Fei Chen,et al.  Finite-time consensus of multi-agent networks with inherent nonlinear dynamics under an undirected interaction graph , 2011, Proceedings of the 2011 American Control Conference.

[32]  Deyuan Meng,et al.  Iterative learning approaches to design finite-time consensus protocols for multi-agent systems , 2012, Syst. Control. Lett..

[33]  J. Lam,et al.  Brief paper - Consensus of multi-agent systems: a simultaneous stabilisation approach , 2012 .

[34]  Jinde Cao,et al.  Filippov systems and quasi-synchronization control for switched networks. , 2012, Chaos.

[35]  Karl Henrik Johansson,et al.  Distributed Event-Triggered Control for Multi-Agent Systems , 2012, IEEE Transactions on Automatic Control.

[36]  Xiaogao Xie,et al.  Decision Making and Finite-Time Motion Control for a Group of Robots , 2013, IEEE Transactions on Cybernetics.

[37]  Tianping Chen,et al.  Cluster Consensus in Discrete-Time Networks of Multiagents With Inter-Cluster Nonidentical Inputs , 2012, IEEE Transactions on Neural Networks and Learning Systems.

[38]  James Lam,et al.  Semi-Global Leader-Following Consensus of Linear Multi-Agent Systems With Input Saturation via Low Gain Feedback , 2013, IEEE Transactions on Circuits and Systems I: Regular Papers.

[39]  Sung Jin Yoo,et al.  Distributed Consensus Tracking for Multiple Uncertain Nonlinear Strict-Feedback Systems Under a Directed Graph , 2013, IEEE Transactions on Neural Networks and Learning Systems.

[40]  Daniel W. C. Ho,et al.  A Unified Approach to Practical Consensus with Quantized Data and Time Delay , 2013, IEEE Transactions on Circuits and Systems I: Regular Papers.

[41]  Bo Liu,et al.  Pinning Consensus in Networks of Multiagents via a Single Impulsive Controller , 2013, IEEE Transactions on Neural Networks and Learning Systems.

[42]  James Lam,et al.  Consensus control of multi-agent systems with missing data in actuators and Markovian communication failure , 2013, Int. J. Syst. Sci..

[43]  James Lam,et al.  Semiglobal Observer-Based Leader-Following Consensus With Input Saturation , 2014, IEEE Transactions on Industrial Electronics.

[44]  Zhiyong Chen,et al.  Consensus Acceleration in a Class of Predictive Networks , 2014, IEEE Transactions on Neural Networks and Learning Systems.

[45]  Huaguang Zhang,et al.  Consensus-Based Distributed Cooperative Learning From Closed-Loop Neural Control Systems , 2015, IEEE Transactions on Neural Networks and Learning Systems.

[46]  Junping Du,et al.  Robust Consensus Tracking Control for Multiagent Systems With Initial State Shifts, Disturbances, and Switching Topologies , 2015, IEEE Transactions on Neural Networks and Learning Systems.

[47]  Bo Liu,et al.  Consensus in Continuous-Time Multiagent Systems Under Discontinuous Nonlinear Protocols , 2015, IEEE Transactions on Neural Networks and Learning Systems.

[48]  Tingwen Huang,et al.  Second-Order Global Consensus in Multiagent Networks With Random Directional Link Failure , 2015, IEEE Transactions on Neural Networks and Learning Systems.