Cooperative output-synchronisation of networked high-order power integrators

In this study, we have considered the cooperative output synchronisation problem of non-linear multi-agent system. The dynamic of each agent in the network is a class of genuinely non-linear system, named as high-order power integrator that may be uncontrollable after linearisation around the origin. Disturbance is considered in the input channel of each agent as well. Combined Graph theory with the method of adding a power integrator, a distributed controller is designed recursively for each agent to achieve the control objective. The distributed controller of each agent has three parts: state feedback of itself, output information of its neighbours and an adaptive disturbance compensator. It is proved that when the undirected graph is connected, all agents’ outputs in the network can be synchronised, that is, cooperative output synchronisation is achieved. Simulation result is presented to verify its effectiveness.

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

[2]  Tao Li,et al.  Mean square average-consensus under measurement noises and fixed topologies: Necessary and sufficient conditions , 2009, Autom..

[3]  Yupu Yang,et al.  Leader-following consensus problem with a varying-velocity leader and time-varying delays , 2009 .

[4]  W. He,et al.  Consensus control for high-order multi-agent systems [Brief Paper] , 2011 .

[5]  V. Utkin Variable structure systems with sliding modes , 1977 .

[6]  Xudong Ye,et al.  Consensus control of networked nonlinear systems , 2012, Proceedings of the 10th World Congress on Intelligent Control and Automation.

[7]  Domenico D'Alessandro,et al.  Time-Optimal Control of a Two Level Quantum System via Interaction With an Auxiliary System , 2014, IEEE Transactions on Automatic Control.

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

[9]  Z. Duan,et al.  Dynamic consensus of linear multi-agent systems , 2011 .

[10]  Jiangping Hu,et al.  Consensus control for multi-agent systems with double-integrator dynamics and time delays , 2010 .

[11]  F. Sun,et al.  Distributed adaptive consensus algorithm for networked Euler-Lagrange systems , 2011 .

[12]  Yisheng Zhong,et al.  Brief paper swarm stability of high-order linear time-invariant swarm systems , 2011 .

[13]  Guisheng Zhai,et al.  Towards consensus in networked non-holonomic systems , 2010 .

[14]  Frank L. Lewis,et al.  Distributed adaptive control for synchronization of unknown nonlinear networked systems , 2010, Autom..

[15]  Richard M. Murray,et al.  Recent Research in Cooperative Control of Multivehicle Systems , 2007 .

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

[17]  Zhihua Qu,et al.  Cooperative control of networked nonlinear systems , 2010, 49th IEEE Conference on Decision and Control (CDC).

[18]  Wei Lin,et al.  A continuous feedback approach to global strong stabilization of nonlinear systems , 2001, IEEE Trans. Autom. Control..