Observer-based lag synchronization between two different complex networks

Abstract In this paper, some new criteria for lag synchronization between two or more complex networks are proposed based on the theory of state observer. Some adaptive controllers are designed to make the drive and response systems achieve lag synchronization, no matter whether the nodes in the two systems are with the same dynamical character or the coupling configuration matrices are nonidentical. In addition, based on the output coupling, the amount of coupling variables between two connected nodes is flexible, which can save a lot of channel resources, simplify the network topology and has more significant meanings in engineering applications. At last, the effects of the lag synchronization criteria are verified through some simulation experiments.

[1]  S. R. Lopes,et al.  Chaotic phase synchronization in scale-free networks of bursting neurons. , 2007, Physical review. E, Statistical, nonlinear, and soft matter physics.

[2]  T Kapitaniak,et al.  Experimental observation of ragged synchronizability. , 2008, Physical review. E, Statistical, nonlinear, and soft matter physics.

[3]  T. Kapitaniak,et al.  Stochastic response with bifurcations to non-linear Duffing's oscillator , 1985 .

[4]  Neo D. Martinez,et al.  Simple rules yield complex food webs , 2000, Nature.

[5]  Jürgen Kurths,et al.  Synchronization between two coupled complex networks. , 2007, Physical review. E, Statistical, nonlinear, and soft matter physics.

[6]  Wang Li,et al.  Generalized outer synchronization between complex dynamical networks with time delay and noise perturbation , 2013, Commun. Nonlinear Sci. Numer. Simul..

[7]  Przemyslaw Perlikowski,et al.  Ragged synchronizability of coupled oscillators. , 2007, Physical review. E, Statistical, nonlinear, and soft matter physics.

[8]  L. Jiao,et al.  Observer-based synchronization in complex dynamical networks with nonsymmetric coupling , 2007 .

[9]  M E J Newman,et al.  Community structure in social and biological networks , 2001, Proceedings of the National Academy of Sciences of the United States of America.

[10]  V. I. Krinsky,et al.  Image processing using light-sensitive chemical waves , 1989, Nature.

[11]  Liang Chen,et al.  Adaptive synchronization between two complex networks with nonidentical topological structures , 2008 .

[12]  Guang-Hong Yang,et al.  Adaptive synchronization of a class of nonlinearly coupled complex networks , 2012, 2012 24th Chinese Control and Decision Conference (CCDC).

[13]  J. Kurths,et al.  Outer synchronization of coupled discrete-time networks. , 2009, Chaos.

[14]  González-Miranda Jm Synchronization of symmetric chaotic systems. , 1996 .

[15]  Lixin Tian,et al.  Linear generalized synchronization between two complex networks , 2010 .

[16]  Yuzhu Xiao,et al.  Adaptive complete synchronization of chaotic dynamical network with unknown and mismatched parameters. , 2007, Chaos.

[17]  Xiaoping Xue,et al.  Outer synchronization of coupled networks using arbitrary coupling strength. , 2010, Chaos.

[18]  Guo-Ping Jiang,et al.  A State-Observer-Based Approach for Synchronization in Complex Dynamical Networks , 2006, IEEE Transactions on Circuits and Systems I: Regular Papers.

[19]  David J. Wagg,et al.  Partial Synchronization of nonidentical Chaotic Systems via Adaptive Control, with Applications to Modeling Coupled Nonlinear Systems , 2002, Int. J. Bifurc. Chaos.

[20]  Zhengquan Yang,et al.  Adaptive linear generalized synchronization between two nonidentical networks , 2012 .

[21]  Zhu Shijian,et al.  Multi-stable synchronization manifold in generalized synchronization of chaos , 2008 .

[22]  B. Bollobás The evolution of random graphs , 1984 .

[23]  Antonia J. Jones,et al.  Synchronization of Chaotic Maps by Feedback Control and Application to Secure Communications Using Chaotic Neural Networks , 1998 .

[24]  E. Niebur,et al.  Growth patterns in the developing brain detected by using continuum mechanical tensor maps , 2022 .

[25]  T. Kapitaniak,et al.  Synchronization of chaos using continuous control. , 1994, Physical review. E, Statistical physics, plasmas, fluids, and related interdisciplinary topics.

[26]  W. Zheng,et al.  Generalized outer synchronization between complex dynamical networks. , 2009, Chaos.

[27]  Albert-László Barabási,et al.  Internet: Diameter of the World-Wide Web , 1999, Nature.

[28]  Alessandro Treves,et al.  Autoassociative memory retrieval and spontaneous activity bumps in small-world networks of integrate-and-fire neurons , 2005, Journal of Physiology-Paris.

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

[30]  J. M. González-Miranda Communications by synchronization of spatially symmetric chaotic systems , 1999 .

[31]  S. Strogatz,et al.  Synchronization of pulse-coupled biological oscillators , 1990 .

[32]  Teh-Lu Liao,et al.  An observer-based approach for chaotic synchronization with applications to secure communications , 1999 .

[33]  Guo-Ping Jiang,et al.  Synchronization Between Two Complex Dynamical Networks Using Scalar Signals Under Pinning Control , 2010, IEEE Transactions on Circuits and Systems I: Regular Papers.

[34]  J. R. Sambles,et al.  Structural colour: Colour mixing in wing scales of a butterfly , 2000, Nature.

[35]  Duncan J. Watts,et al.  Collective dynamics of ‘small-world’ networks , 1998, Nature.

[36]  Wanli Guo,et al.  Lag synchronization of complex networks via pinning control , 2011 .

[37]  P. Erdos,et al.  On the strength of connectedness of a random graph , 1964 .

[38]  Bin Deng,et al.  Adaptive lag synchronization based topology identification scheme of uncertain general complex dynamical networks , 2012 .

[39]  J. P. Lasalle THE EXTENT OF ASYMPTOTIC STABILITY. , 1960, Proceedings of the National Academy of Sciences of the United States of America.

[40]  P-M Binder,et al.  Geometry of repeated measurements in chaotic systems. , 2010, Chaos.