Global Asymptotical Bounded Synchronization for a Class of Coupled Complex Networks With Nonidentical Nodes

This paper investigates the bounded synchronization problem for a class of coupled complex networks with nonidentical nodes. Based on the average value trajectory, a new definition of the bounded synchronization is established for the concerned networks, which can be proved to be equivalent to the conventional one. By use of the Lyapunov function method and the linear matrix inequality technique, several sufficient conditions are derived to guarantee the bounded synchronization. Moreover, the corresponding estimations of the bounded synchronization domain can also be obtained. An illustrative numerical example is included to show the effectiveness of the main theoretical results.

[1]  Jinde Cao,et al.  Finite-time boundedness and stabilization of uncertain switched neural networks with time-varying delay , 2015, Neural Networks.

[2]  Lei Wang,et al.  Bounded synchronization of a heterogeneous complex switched network , 2015, Autom..

[3]  Daniel W. C. Ho,et al.  Globally exponential synchronization in an array of asymmetric coupled neural networks , 2007 .

[4]  Junan Lu,et al.  Pinning adaptive synchronization of a general complex dynamical network , 2008, Autom..

[5]  Jun Zhao,et al.  Global Bounded Synchronization of General Dynamical Networks With Nonidentical Nodes , 2012, IEEE Transactions on Automatic Control.

[6]  Guoqiang Hu,et al.  Pinning Synchronization of Directed Networks With Switching Topologies: A Multiple Lyapunov Functions Approach , 2015, IEEE Transactions on Neural Networks and Learning Systems.

[7]  Zidong Wang,et al.  Bounded $H_{\infty}$ Synchronization and State Estimation for Discrete Time-Varying Stochastic Complex Networks Over a Finite Horizon , 2011, IEEE Transactions on Neural Networks.

[8]  T. Carroll,et al.  Master Stability Functions for Synchronized Coupled Systems , 1998 .

[9]  Ling Shao,et al.  A rapid learning algorithm for vehicle classification , 2015, Inf. Sci..

[10]  Jun Zhao,et al.  Stability of dynamical networks with non-identical nodes: A multiple v-Lyapunov function method , 2011, Autom..

[11]  Albert-László Barabási,et al.  Statistical mechanics of complex networks , 2001, ArXiv.

[12]  Yisheng Zhong,et al.  Robust attitude tracking control of small-scale unmanned helicopter , 2015, Int. J. Syst. Sci..

[13]  Guanghui Wen,et al.  Consensus Tracking of Multi-Agent Systems With Lipschitz-Type Node Dynamics and Switching Topologies , 2014, IEEE Transactions on Circuits and Systems I: Regular Papers.

[14]  A. Pikovsky,et al.  Synchronization: Theory and Application , 2003 .

[15]  Markus Meister,et al.  Individual neurons dissociated from rat suprachiasmatic nucleus express independently phased circadian firing rhythms , 1995, Neuron.

[16]  Ji Xiang,et al.  On the V-stability of complex dynamical networks , 2007, Autom..

[17]  Xiaohong Wang,et al.  Finite-time synchronization of drive-response systems via periodically intermittent adaptive control , 2014, J. Frankl. Inst..

[18]  Bin Gu,et al.  Incremental learning for ν-Support Vector Regression , 2015, Neural Networks.

[19]  Tianping Chen,et al.  Synchronization analysis for nonlinearly-coupled complex networks with an asymmetrical coupling matrix , 2008 .

[20]  Sato Honma,et al.  Diversity in the circadian periods of single neurons of the rat suprachiasmatic nucleus depends on nuclear structure and intrinsic period , 2004, Neuroscience Letters.

[21]  S. Bernard,et al.  Spontaneous synchronization of coupled circadian oscillators. , 2005, Biophysical journal.

[22]  M. Hasler,et al.  Connection Graph Stability Method for Synchronized Coupled Chaotic Systems , 2004 .

[23]  M. Hasler,et al.  Synchronization in asymmetrically coupled networks with node balance. , 2006, Chaos.

[24]  Jinde Cao,et al.  Synchronization of Coupled Harmonic Oscillators via Sampled Position Data Control , 2016, IEEE Transactions on Circuits and Systems I: Regular Papers.

[25]  Junping Du,et al.  Robust ILC with iteration-varying initial state shifts: a 2D approach , 2015, Int. J. Syst. Sci..

[26]  Jun Zhao,et al.  Synchronization of Dynamical Networks With Nonidentical Nodes: Criteria and Control , 2011, IEEE Transactions on Circuits and Systems I: Regular Papers.

[27]  Mark E. J. Newman,et al.  The Structure and Function of Complex Networks , 2003, SIAM Rev..

[28]  Mauricio Barahona,et al.  Synchronization in small-world systems. , 2002, Physical review letters.

[29]  Lei Wang,et al.  Eigenvalue based approach to bounded synchronization of asymmetrically coupled networks , 2015, Commun. Nonlinear Sci. Numer. Simul..

[30]  Bin Gu,et al.  Incremental Support Vector Learning for Ordinal Regression , 2015, IEEE Transactions on Neural Networks and Learning Systems.

[31]  M. Brede Synchrony-optimized networks of non-identical Kuramoto oscillators , 2008, 0809.4531.

[32]  Guo-Ping Liu,et al.  Global Bounded Consensus of Multiagent Systems With Nonidentical Nodes and Time Delays , 2012, IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics).

[33]  M. Elowitz,et al.  Modeling a synthetic multicellular clock: repressilators coupled by quorum sensing. , 2004, Proceedings of the National Academy of Sciences of the United States of America.

[34]  Adilson E Motter,et al.  Heterogeneity in oscillator networks: are smaller worlds easier to synchronize? , 2003, Physical review letters.

[35]  K. Aihara,et al.  Synchronization of coupled nonidentical genetic oscillators , 2006, Physical biology.