Projective synchronization between two delayed networks of different sizes with nonidentical nodes and unknown parameters

This paper investigates the projective synchronization between two delayed networks of different sizes with nonidentical nodes and unknown parameters. The two complex networks are of diverse dynamical nodes, different topological structures and different sizes. Both networks contain unknown parameters and coupling delay. Based on stability theory, the bidirectional coupling control condition is proposed to ensure the realization of projective synchronization between the two delayed networks. During synchronization, the unknown parameters are successful estimated by adaptive updated laws. Furthermore, in numerical simulations, the Small-World network and Scale-Free network based on well-known Lorenz system and Chen system are constructed. The results verified the effectiveness of the proposed synchronization method.

[1]  Huaguang Zhang,et al.  Observer-based lag synchronization between two different complex networks , 2014, Commun. Nonlinear Sci. Numer. Simul..

[2]  Hongtao Lu,et al.  Generalized projective synchronization between two different general complex dynamical networks with delayed coupling , 2010 .

[3]  Rong Yao,et al.  Weak, modified and function projective synchronization of chaotic memristive neural networks with time delays , 2015, Neurocomputing.

[4]  Huaguang Zhang,et al.  Controlling Chaos: Suppression, Synchronization and Chaotification , 2009 .

[5]  Ling Lü,et al.  Outer synchronization between uncertain complex networks based on backstepping design , 2013 .

[6]  Jinde Cao,et al.  A unified synchronization criterion for impulsive dynamical networks , 2010, Autom..

[7]  Lianying Miao,et al.  Generation of lag outer synchronization of complex networks with noise coupling , 2015 .

[8]  E. Lorenz Deterministic nonperiodic flow , 1963 .

[9]  Jinde Cao,et al.  Cluster synchronization in an array of coupled stochastic delayed neural networks via pinning control , 2011, Neurocomputing.

[10]  Chengren Li,et al.  Lag projective synchronization of a class of complex network constituted nodes with chaotic behavior , 2014, Commun. Nonlinear Sci. Numer. Simul..

[11]  Hongtao Lu,et al.  Outer synchronization of uncertain general complex delayed networks with adaptive coupling , 2012, Neurocomputing.

[12]  Jinde Cao,et al.  Synchronization-based approach for parameters identification in delayed chaotic neural networks , 2007 .

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

[14]  Chuandong Li,et al.  Finite-time lag synchronization of delayed neural networks , 2014, Neurocomputing.

[15]  Hongtao Lu,et al.  Generalized function projective (lag, anticipated and complete) synchronization between two different complex networks with nonidentical nodes , 2012 .

[16]  Y. Wang,et al.  Stability Analysis of Markovian Jumping Stochastic Cohen–Grossberg Neural Networks With Mixed Time Delays , 2008, IEEE Transactions on Neural Networks.

[17]  Sanjit K. Mitra,et al.  Kronecker Products, Unitary Matrices and Signal Processing Applications , 1989, SIAM Rev..

[18]  S. Strogatz Exploring complex networks , 2001, Nature.

[19]  Dimitris Kugiumtzis,et al.  Detecting synchronization in coupled stochastic ecosystem networks , 2010 .

[20]  Jun Jiang,et al.  Adaptive synchronization of drive-response fractional-order complex dynamical networks with uncertain parameters , 2014, Commun. Nonlinear Sci. Numer. Simul..

[21]  Guanrong Chen,et al.  YET ANOTHER CHAOTIC ATTRACTOR , 1999 .

[22]  Xin Wang,et al.  Mean square exponential synchronization for a class of Markovian switching complex networks under feedback control and M-matrix approach , 2014, Neurocomputing.

[23]  Jingyuan Zhang,et al.  Inner and outer synchronization between two coupled networks with interactions , 2015, J. Frankl. Inst..

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

[25]  Albert,et al.  Emergence of scaling in random networks , 1999, Science.

[26]  Huaguang Zhang,et al.  Novel stability criterions of a new fuzzy cellular neural networks with time-varying delays , 2009, Neurocomputing.

[27]  Huaguang Zhang,et al.  Synchronization between two general complex networks with time-delay by adaptive periodically intermittent pinning control , 2014, Neurocomputing.

[28]  V. Latora,et al.  Complex networks: Structure and dynamics , 2006 .

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

[30]  Huaguang Zhang,et al.  A Comprehensive Review of Stability Analysis of Continuous-Time Recurrent Neural Networks , 2014, IEEE Transactions on Neural Networks and Learning Systems.

[31]  Kezan Li,et al.  Generalized projective synchronization of two coupled complex networks of different sizes , 2013 .

[32]  Song Zheng,et al.  Adaptive synchronization of two nonlinearly coupled complex dynamical networks with delayed coupling , 2012 .

[33]  Qingyu Zhu,et al.  Mode-dependent projective synchronization for neutral-type neural networks with distributed time-delays , 2014, Neurocomputing.

[34]  Gangquan Si,et al.  Adaptive generalized function matrix projective lag synchronization of uncertain complex dynamical networks with different dimensions , 2013 .

[35]  Huaguang Zhang,et al.  Global Asymptotic Stability of Recurrent Neural Networks With Multiple Time-Varying Delays , 2008, IEEE Transactions on Neural Networks.

[36]  Tianguang Chu,et al.  Complete Synchronization of Boolean Networks , 2012, IEEE Transactions on Neural Networks and Learning Systems.