Wenlian Lu

TL;DR: In this paper, a single controller can pin a coupled complex network to a homogeneous solution, and sufficient conditions are presented to guarantee the convergence of the pinning process locally and globally.

TL;DR: It is proved that a single controller can pin a coupled complex network to a homogenous solution without assuming symmetry, irreducibility, or linearity of the couplings.

TL;DR: In this article, a general framework is presented for analyzing the synchronization stability of linearly Coupled Ordinary Differential Equations (LCODEs), where the uncoupled dynamical behavior at each node is general and can be chaotic or otherwise; the coupling configuration is also general, with the coupling matrix not assumed to be symmetric or irreducible.

TL;DR: This work investigates synchronization of an array of linearly coupled identical connected neural networks with delays with delays using the linear matrix inequality approach to judge synchronization with global convergence property.

TL;DR: Adaptive feedback algorithms to adapting the weights of the underlying graph, which can synchronize any bi-directed networks satisfying the conditions of common intercluster coupling and intracluster communication are proposed.