Synchronization in a network of connected elements is essential to the proper functioning of
both natural and engineered systems and is thus of increasing interest across disciplines. In …

Designing a low-dimensional discrete map to generate chaotic sequence with the properties
of high randomness and without chaos degradation is an attractive but challenging issue …

Medical images are closely related to the patient's condition. We put forward the model of
Sin-Arcsin-Arnold Multi-Dynamic random nonadjacent Coupled Map Lattice (SAMCML) and …

In this paper, a four-dimensional Morris–Lecar (M–L) model with a memristor is improved by
introducing synaptic dynamics, and an M–L model with time delay and Gaussian white noise …

Synchronization of interconnecting units is one of the hottest topics many researchers are
interested in. In addition, this emerging phenomenon is responsible for many biological …

This article presents an advanced parameter-free velocity observer-based nonlinear
decentralized tension control scheme for roll-to-roll systems governed by nonlinear …

The inescapable presence of time delay in numerous real-world systems, particularly in
neuronal networks, prompts an exploration of its impact on synchronization dynamics. This …

Data security and privacy have become essential due to the increasingly advanced
interconnectivity in today's world, hence the reliance on cryptography. This paper introduces …

In this study, we consider a scale-free network of nonidentical Chialvo neurons, coupled
through electrical synapses. For sufficiently strong coupling, the system undergoes a …

We propose a novel nonlinear bidirectionally coupled heterogeneous chain network whose
dynamics evolve in discrete time. The backbone of the model is a pair of popular map-based …