Explicit synchronisation of heterogeneous dynamics networks via three-layer communication framework

ABSTRACT This paper addresses the explicit synchronisation of heterogeneous dynamics networks via three-layer communication framework. The main contribution is to propose an explicit synchronisation algorithm, in which the synchronisation errors of all the agents are decoupled. By constructing a three-layer node model, the proposed algorithm removes the assumptions that the topology is fixed and the synchronisation process is coupled. By introducing appropriate assumptions, the algorithm leads to a class of explicit synchronisation protocols based on the states of agents in different layers. It is proved in the sense of Lyapunov that, if the dwell time is larger than a threshold, the explicit synchronisation can be achieved for closed-loop heterogeneous dynamics networks under switching topologies. The results are further extended to the cases in which the switching topologies are only frequently but not always connected. Simulation results are presented with four single-link manipulators to verify the theoretical analysis.

[1]  Feng Qian,et al.  Synchronization in complex networks and its application - A survey of recent advances and challenges , 2014, Annu. Rev. Control..

[2]  Hyungbo Shim,et al.  Output Consensus of Heterogeneous Uncertain Linear Multi-Agent Systems , 2011, IEEE Transactions on Automatic Control.

[3]  Jan Lunze,et al.  Synchronization of Heterogeneous Agents , 2012, IEEE Transactions on Automatic Control.

[4]  Bohui Wang,et al.  Robust adaptive consensus tracking for higher-order multi-agent uncertain systems with nonlinear dynamics via distributed intermittent communication protocol , 2016 .

[5]  Frank Allgöwer,et al.  An internal model principle is necessary and sufficient for linear output synchronization , 2011, Autom..

[6]  Huijun Gao,et al.  Distributed Robust Synchronization of Dynamical Networks With Stochastic Coupling , 2014, IEEE Transactions on Circuits and Systems I: Regular Papers.

[7]  Qiang Lai,et al.  A local flocking algorithm of multi-agent dynamic systems , 2015, Int. J. Control.

[8]  Tianping Chen,et al.  Synchronization of Nonlinear Coupled Networks via Aperiodically Intermittent Pinning Control , 2015, IEEE Transactions on Neural Networks and Learning Systems.

[9]  Baocang Ding,et al.  A synthesis approach of distributed model predictive control for homogeneous multi-agent system with collision avoidance , 2014, Int. J. Control.

[10]  Lihua Xie,et al.  Network Topology and Communication Data Rate for Consensusability of Discrete-Time Multi-Agent Systems , 2011, IEEE Transactions on Automatic Control.

[11]  Romeo Ortega,et al.  Synchronization of Networks of Nonidentical Euler-Lagrange Systems With Uncertain Parameters and Communication Delays , 2011, IEEE Transactions on Automatic Control.

[12]  Lili Wang,et al.  Distributed Formation Control of Multi-Agent Systems Using Complex Laplacian , 2014, IEEE Transactions on Automatic Control.

[13]  Shankar Subramaniam,et al.  A Newtonian Framework for Community Detection in Undirected Biological Networks , 2014, IEEE Transactions on Biomedical Circuits and Systems.

[14]  Tianping Chen,et al.  New approach to synchronization analysis of linearly coupled ordinary differential systems , 2006 .

[15]  Dominique Sauter,et al.  Kalman Filter for Discrete-Time Stochastic Linear Systems Subject to Intermittent Unknown Inputs , 2013, IEEE Transactions on Automatic Control.

[16]  Yu Zhao,et al.  Distributed consensus tracking of multi-agent systems with nonlinear dynamics under a reference leader , 2013, Int. J. Control.

[17]  Soummya Kar,et al.  Distributed Consensus Algorithms in Sensor Networks: Quantized Data and Random Link Failures , 2007, IEEE Transactions on Signal Processing.

[18]  Long Wang,et al.  Consensus of Switched Multiagent Systems , 2016, IEEE Transactions on Circuits and Systems II: Express Briefs.

[19]  Panos J. Antsaklis,et al.  Output Synchronization of Networked Passive Systems With Event-Driven Communication , 2014, IEEE Transactions on Automatic Control.

[20]  Jinde Cao,et al.  Lag Quasi-Synchronization of Coupled Delayed Systems With Parameter Mismatch , 2011, IEEE Transactions on Circuits and Systems I: Regular Papers.

[21]  Zidong Wang,et al.  Distributed State Estimation for Discrete-Time Sensor Networks With Randomly Varying Nonlinearities and Missing Measurements , 2011, IEEE Transactions on Neural Networks.

[22]  Long Wang,et al.  Containment control of heterogeneous multi-agent systems , 2014, Int. J. Control.

[23]  Weihua Sheng,et al.  Distributed Sensor Fusion for Scalar Field Mapping Using Mobile Sensor Networks , 2013, IEEE Transactions on Cybernetics.

[24]  Rodolphe Sepulchre,et al.  Global State Synchronization in Networks of Cyclic Feedback Systems , 2012, IEEE Transactions on Automatic Control.

[25]  D. Sun,et al.  A Synchronization Approach for the Minimization of Contouring Errors of CNC Machine Tools , 2009, IEEE Transactions on Automation Science and Engineering.

[26]  Guanghui Wen,et al.  Distributed finite-time tracking of multiple non-identical second-order nonlinear systems with settling time estimation , 2016, Autom..

[27]  Yu Zhao,et al.  Leader-following consensus of second-order non-linear multi-agent systems with directed intermittent communication , 2014 .

[28]  Yeong-Hwa Chang,et al.  Fuzzy Sliding-Mode Formation Control for Multirobot Systems: Design and Implementation , 2012, IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics).

[29]  Walter Ukovich,et al.  A new class of consensus protocols for agent networks with discrete time dynamics , 2015, Autom..

[30]  Jinde Cao,et al.  Synchronization Error Estimation and Controller Design for Delayed Lur'e Systems With Parameter Mismatches , 2012, IEEE Transactions on Neural Networks and Learning Systems.

[31]  Florian Dörfler,et al.  Synchronization in complex networks of phase oscillators: A survey , 2014, Autom..

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

[33]  Xinghuo Yu,et al.  Higher order finite-time consensus protocol for heterogeneous multi-agent systems , 2015, Int. J. Control.

[34]  Huijun Gao,et al.  Synchronization of identical linear dynamic systems subject to input saturation , 2014, Syst. Control. Lett..

[35]  Bohui Wang,et al.  Joining consensus of networked multi-agent systems with nonlinear couplings and weighting constraints , 2016, Int. J. Syst. Sci..

[36]  Peng Shi,et al.  Cooperative Control of Multi-Agent Systems With Unknown State-Dependent Controlling Effects , 2015, IEEE Transactions on Automation Science and Engineering.

[37]  Zhengzhi Han,et al.  A note on observers for Lipschitz nonlinear systems , 2002, IEEE Trans. Autom. Control..

[38]  Zongyu Zuo,et al.  A new class of finite-time nonlinear consensus protocols for multi-agent systems , 2014, Int. J. Control.