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.