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 …

Neural networks are favored by academia and industry because of their diversity of
dynamics. However, it is difficult for ring neural networks to generate complex dynamical …

Motivated by the importance of study on the complex behaviors, which may be exhibited by
fractional order differential equations, this review paper focuses on dynamical fractional …

In this study, we are concerned with the dynamics of a new established fractional-order
delayed zooplankton–phytoplankton system. The existence and uniqueness of the solution …

Since the concept of discrete memristor was proposed, more and more scholars began to
study this topic. At present, most of works on the discrete memristor are devoted to the …

In this paper, a simplified memristor-based fractional-order neural network (MFNN) with
discontinuous memductance function is proposed. It is essentially a switched system with …

In this paper, a meminductor emulator and an active memristor emulator are designed to
construct a new chaotic circuit. The initial-condition-triggered amplitude, frequency and …

In this study, autonomous Lü-Chen (2002) chaotic system has been implemented on FPGA
using Heun numerical algorithm in VHDL 32-bit IQ-Math fixed-point number format for …

Fractional-order chaotic oscillators are a hot topic of research and nowadays many new
mathematical models have been introduced, which can be suitable for the development of …

This manuscript introduces a piecewise linear decomposition method devoted to a class of
fractional-order dynamical systems composed of piecewise linear (PWL) functions. Inspired …