This paper considers the exponential synchronization issue for variable-order fractional
complex dynamical networks (FCDNs) with short memory and derivative couplings via the …

This research presents a new fractional-order discrete-time susceptible-infected-recovered
(SIR) epidemic model with vaccination. The dynamical behavior of the suggested model is …

Delay has a vital influence on the dynamics of neural networks. Exploring the effect of time
delay on the dynamics of neural networks has become a hot issue in mathematics and …

Disturbances are inevitably found in almost every system and, if not rejected, they could
jeopardize the effectiveness of control methods. Thereby, employing state-of-the-art …

In order to reveal the change law of bank data and manage bank effectively, building
mathematical models is a very effective approach. In this present study, we set up a novel …

Nowadays, advances in different fields of technology have increased demands for reliable
controllers. Uncertainty and disturbances, which are inevitable in most real‐world systems …

Recently, intelligent control techniques have received considerable attention. In most
studies, the systems' model is assumed to be without any delay, and the effects of faults and …

Identifying parameters of financial and economic models with chaotic dynamics is an
important, yet daunting challenge because of the complexities there exist in these chaotic …

In this study, a novel heuristic computing technique is presented to solve bioinformatics
problem for the corneal shape model of eye surgery using Morlet wavelet artificial neural …

The multi-fractal analysis has been applied to investigate various stylized facts of the
financial market including market efficiency, financial crisis, risk evaluation and crash …