The hallmark of fractional-order derivatives is a memory kernel to describe real-world
phenomena with a better approximation than classical calculus. In fractional-order chaotic …

In this paper, a new method for generating multi-scroll chaotic attractors via constructing a
compound hyperbolic tangent-cubic nonlinear function in canonical Chua's circuit is …

This paper introduces two novel fractional-order chaotic systems with cubic nonlinear
resistor and investigates its adaptive sliding mode synchronization. Firstly the novel two …

Chaotic systems implemented by artificial neural networks are good candidates for data
encryption. In this manner, this paper introduces the cryptographic application of the …

By simplifying connection topology of Hopfield neural network (HNN) with three neurons, a
kind of HNN-based nonlinear system is proposed. Taking a coupling-connection weight as …

This paper investigates fixed-time prescribed performance control problem for uncertain
strict-feedback nonlinear systems with unknown dead zone. First, a novel prescribed …

Combining qualitative analysis and numerical technique, the present work revisits a four-
dimensional circuit system in [Ma et al., 2016] and mainly reveals some of its rich dynamics …

It is well observed that cryptographic applications have great challenges in guaranteeing
high security as well as high throughput. Artificial neural network (ANN)–based chaotic true …

Recently, systems with infinite equilibria have attracted interest because they can be
considered as systems with hidden attractors. In this work, we introduce a new elegant …

The selection of periodical or chaotic attractors becomes initial-dependent in that setting
different initial values can trigger a different profile of attractors in a dynamical system with …