Graph-theoretic method on topology identification of stochastic multi-weighted complex networks with time-varying delayed coupling and non-delayed coupling

Abstract

In this paper, the aim is to identify uncertain topological structures of stochastic multi-weighted complex networks (SMWCN), in which both time-varying delayed coupling and non-delayed coupling are considered. Distinguished from the previous work, graph theory and Lyapunov method are combined to research topology identification of SMWCN. Combining LaSalle-type invariance principle for stochastic differential equations and some strategies of inequalities, theoretical results about topology identification and partial topology identification of SMWCN are obtained under adaptive control and adaptive pinning control, respectively. Furthermore, by using the drive-response concept, response network can reach synchronization with drive network. In the end, two numerical simulations are provided to demonstrate the effectiveness and correctness of theoretical results, in which typical L\”{u} chaotic system is used to describe the vertex’s dynamical behavior.