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 …

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 this article, the fixed-time (FXT) synchronization of discontinuous competitive neural
networks (CNNs) involving time-varying delays is investigated. Firstly, two kinds of …

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 …

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 …

In this research work, the convective flow of Lorenz attractor in the fractional domain is
modeled with a nonlinear flexible structure of radial basis neural network (RBNN). The …

It is well known that the satellite attitude motion exhibits the chaotic phenomenon. This
article addresses the challenging problem of chaotic attitude synchronization and anti …

This paper presents a controller-based synchronization scheme in a leader-follower
architecture for chaotic maps of fractional variable-order. The proposed scheme …

This paper focuses on the growth, development, and future of various forms of fractional-
order neural networks. Multiple advances in structure, learning algorithms, and methods …