A graph-theoretic approach to exponential stability of stochastic complex networks with time-varying delays

Abstract This paper considers a general class of stochastic complex networks with time-varying delays (SCNTVDs). A systematic method of constructing a global Lyapunov function for the complex network is provided by combining graph theory and Lyapunov method. Consequently, some novel and simple sufficient conditions of exponential stability for the SCNTVDs are given. These conditions are presented in terms of the topological structure of networks. In addition, to illustrate the effectiveness and applicability of the proposed theory, a practical model in physics is studied and the numerical simulation is also given.

[1]  Junjie Wei,et al.  Global stability of multi-group SEIR epidemic models with distributed delays and nonlinear transmission , 2012 .

[2]  Wenwu Yu,et al.  Synchronizing nonlinear complex networks via switching disconnected topology , 2016, Autom..

[3]  Zidong Wang,et al.  On global asymptotic stability of neural networks with discrete and distributed delays , 2005 .

[4]  Jitao Sun,et al.  Stability analysis for coupled systems with time delay on networks , 2012 .

[5]  Luosheng Wen,et al.  Global asymptotic stability and a property of the SIS model on bipartite networks , 2012 .

[6]  Jinde Cao,et al.  BAM-type Cohen-Grossberg neural networks with time delays , 2008, Math. Comput. Model..

[7]  Wenxue Li,et al.  Global stability analysis for stochastic coupled systems on networks , 2011, Autom..

[8]  Shaokai Wang,et al.  Global dynamics of delay epidemic models with nonlinear incidence rate and relapse , 2011 .

[9]  Ruoyan Sun,et al.  Computers and Mathematics with Applications Global Stability of the Endemic Equilibrium of Multigroup Sir Models with Nonlinear Incidence , 2022 .

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

[11]  Michael Y. Li,et al.  A graph-theoretic approach to the method of global Lyapunov functions , 2008 .

[12]  Pengfei Wang,et al.  Global stability analysis for discrete-time coupled systems with both time delay and multiple dispersal and its application , 2017, Neurocomputing.

[13]  Yong He,et al.  Complete Delay-Decomposing Approach to Asymptotic Stability for Neural Networks With Time-Varying Delays , 2011, IEEE Transactions on Neural Networks.

[14]  Huan Su,et al.  Global stability for discrete Cohen-Grossberg neural networks with finite and infinite delays , 2012, Appl. Math. Lett..

[15]  Sen,et al.  Experimental evidence of time-delay-induced death in coupled limit-cycle oscillators , 1998, Physical review letters.

[16]  B. Øksendal Stochastic Differential Equations , 1985 .

[17]  Ke Wang,et al.  Global exponential stability for coupled retarded systems on networks: A graph-theoretic approach , 2014, Commun. Nonlinear Sci. Numer. Simul..

[18]  X. Mao,et al.  Environmental Brownian noise suppresses explosions in population dynamics , 2002 .

[19]  Huan Su,et al.  Global stability of coupled nonlinear systems with Markovian switching , 2012 .

[20]  Huan Su,et al.  Global exponential stability for stochastic networks of coupled oscillators with variable delay , 2015, Commun. Nonlinear Sci. Numer. Simul..

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

[22]  Michael Y. Li,et al.  Global-stability problem for coupled systems of differential equations on networks , 2010 .

[23]  H. Su,et al.  Global stability analysis of discrete-time coupled systems on networks and its applications. , 2012, Chaos.

[24]  Jinde Cao,et al.  Synchronization for complex networks with Markov switching via matrix measure approach , 2015 .

[25]  Xuerong Mao,et al.  Stochastic Differential Equations With Markovian Switching , 2006 .

[26]  S. Zacks,et al.  Introduction to stochastic differential equations , 1988 .

[27]  Carroll,et al.  Synchronous chaos in coupled oscillator systems. , 1994, Physical review. E, Statistical physics, plasmas, fluids, and related interdisciplinary topics.

[28]  Meng Pan,et al.  Razumikhin-type theorems on exponential stability of stochastic functional differential equations on networks , 2014, Neurocomputing.

[29]  Zengyun Wang,et al.  Global stability analysis for delayed complex-valued BAM neural networks , 2016, Neurocomputing.

[30]  Wenxue Li,et al.  The almost sure stability of coupled system of stochastic delay differential equations on networks , 2015 .

[31]  Michael Y. Li,et al.  Global stability of multi-group epidemic models with distributed delays , 2010 .