This article is concerned with fixed-time synchronization of the nonlinearly coupled neural
networks with discontinuous activation and mismatched parameters. First, a novel lemma is …

Fixed-time synchronization of complex networks is investigated in this article. First, a
completely novel lemma is introduced to prove the fixed-time stability of the equilibrium of a …

The challenging problem of network reconstruction from dynamical data can in general be
formulated as an optimization task of solving multiple linear equations. Existing approaches …

The signal propagation and information encoding in neurons are much dependent on the
activation of synapses function. Electric synapse often plays short-range modulation so that …

Learning dynamical networks based on time series of nodal states is of significant interest in
systems science, computer science, and control engineering. Despite recent progress in …

This article is mainly concerned with leader-following pinning synchronization of multiagent
systems in a multiplex network setting, where the interlayer couplings are impulsive. The …

Identifying information sources plays a significant role in network science and engineering.
However, existing source identification approaches generally focus on static networks …

The problem of reconstructing nonlinear and complex dynamical systems from available
data or time series is prominent in many fields, including engineering, physical, computer …

Topology identification of multilayer networks is of great significance in the fields of
information, engineering, and society. Current research on topology identification of …

In reality, individuals will spread their opinions by word of mouth, meanwhile sharing their
opinions on social platforms. To gain a clear insight into this kind of behavior, we propose a …