Synchronization of Discrete-Time Dynamical Networks with Time-Varying Couplings

We study the local complete synchronization of discrete-time dynamical networks with time-varying couplings. Our conditions for the temporal variation of the couplings are rather general and include variations in both the network structure and the reaction dynamics; the reactions could, for example, be driven by a random dynamical system. A basic tool is the concept of the Hajnal diameter, which we extend to infinite Jacobian matrix sequences. The Hajnal diameter can be used to verify synchronization, and we show that it is equivalent to other quantities which have been extended to time-varying cases, such as the projection radius, projection Lyapunov exponents, and transverse Lyapunov exponents. Furthermore, these results are used to investigate the synchronization problem in coupled map networks with time-varying topologies and possibly directed and weighted edges. In this case, the Hajnal diameter of the infinite coupling matrices can be used to measure the synchronizability of the network process. As ...

[1]  L. Dieci,et al.  Computation of a few Lyapunov exponents for continuous and discrete dynamical systems , 1995 .

[2]  M. Bartlett,et al.  Weak ergodicity in non-homogeneous Markov chains , 1958, Mathematical Proceedings of the Cambridge Philosophical Society.

[3]  G. G. Stokes "J." , 1890, The New Yale Book of Quotations.

[4]  Guanrong Chen,et al.  A time-varying complex dynamical network model and its controlled synchronization criteria , 2004, IEEE Trans. Autom. Control..

[5]  Mainieri Zeta function for the Lyapunov exponent of a product of random matrices. , 1992, Physical review letters.

[6]  I. Daubechies,et al.  Sets of Matrices All Infinite Products of Which Converge , 1992 .

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

[8]  Xinlong Zhou,et al.  Estimates for the joint spectral radius , 2006, Appl. Math. Comput..

[9]  John Milnor,et al.  On the concept of attractor: Correction and remarks , 1985 .

[10]  B. M. Fulk MATH , 1992 .

[11]  J. Jost,et al.  Spectral properties and synchronization in coupled map lattices. , 2001, Physical review. E, Statistical, nonlinear, and soft matter physics.

[12]  C. Tan On the weak ergodicity of nonhomogeneous Markov chains , 1996 .

[13]  F. Atay,et al.  Network synchronization: Spectral versus statistical properties , 2006, 0706.3069.

[14]  Wolfgang Kliemann,et al.  The Lyapunov spectrum of families of time-varying matrices , 1996 .

[15]  M. S. Bartlett,et al.  The ergodic properties of non-homogeneous finite Markov chains , 1956, Mathematical Proceedings of the Cambridge Philosophical Society.

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

[17]  Jürgen Kurths,et al.  Synchronization - A Universal Concept in Nonlinear Sciences , 2001, Cambridge Nonlinear Science Series.

[18]  Vicsek,et al.  Novel type of phase transition in a system of self-driven particles. , 1995, Physical review letters.

[19]  G. Rangarajan,et al.  General stability analysis of synchronized dynamics in coupled systems. , 2002, Physical review. E, Statistical, nonlinear, and soft matter physics.

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

[21]  金子 邦彦 Theory and applications of coupled map lattices , 1993 .

[22]  Luc Moreau,et al.  Stability of multiagent systems with time-dependent communication links , 2005, IEEE Transactions on Automatic Control.

[23]  I. Stewart,et al.  From attractor to chaotic saddle: a tale of transverse instability , 1996 .

[24]  P. Bohl Über Differentialungleichungen. , 1914 .

[25]  Jianhong Shen A Geometric Approach to Ergodic Non-Homogeneous Markov Chains , 2000 .

[26]  Xinlong Zhou,et al.  Characterization of joint spectral radius via trace , 2000 .

[27]  Guanrong Chen,et al.  A time-varying complex dynamical network model and its controlled synchronization criteria , 2005, IEEE Transactions on Automatic Control.

[28]  Jürgen Jost,et al.  Delays, connection topology, and synchronization of coupled chaotic maps. , 2004, Physical review letters.

[29]  L. Barreira,et al.  Lyapunov Exponents and Smooth Ergodic Theory , 2002 .

[30]  Mehran Mesbahi,et al.  Agreement over random networks , 2004, 2004 43rd IEEE Conference on Decision and Control (CDC) (IEEE Cat. No.04CH37601).

[31]  V. I. Oseledec A multiplicative ergodic theorem: Lyapunov characteristic num-bers for dynamical systems , 1968 .

[32]  J. Milnor On the concept of attractor , 1985 .

[33]  G. Gripenberg COMPUTING THE JOINT SPECTRAL RADIUS , 1996 .

[34]  V. Araújo Random Dynamical Systems , 2006, math/0608162.

[35]  Erik M. Bollt,et al.  Sufficient Conditions for Fast Switching Synchronization in Time-Varying Network Topologies , 2006, SIAM J. Appl. Dyn. Syst..

[36]  Gordon F. Royle,et al.  Algebraic Graph Theory , 2001, Graduate texts in mathematics.

[37]  J. Wolfowitz Products of indecomposable, aperiodic, stochastic matrices , 1963 .

[38]  D. Serre Matrices: Theory and Applications , 2002 .

[39]  C. Wu Synchronization in networks of nonlinear dynamical systems coupled via a directed graph , 2005 .