Multistability or coexistence of different attractors for a given set of parameters is one of the
most exciting phenomena in dynamical systems. It can be found in different areas of science …

The stability analysis of recurrent neural networks (RNNs) with multiple equilibria has
received extensive interest since it is a prerequisite for successful applications of RNNs …

When synaptic connection is created to couple two neurons, the electromagnetic induction
current is unavoidably induced, which can be imitated by a flux-controlled memristor. To …

This paper reports a new chaotic system generated from the simplest memristor chaotic
circuit by introducing a simple nonlinear feedback control input. The principal feature of the …

Multiple attractors can be found in many nonlinear dynamical system with multistability.
Recently, experimental attractors with two stable saddle-foci were reported to find in a non …

The discovery of simple chaotic systems with complex dynamics has always been an
interesting research work. This brief aims to construct an extremely simple chaotic system …

Multistability exists in various regimes of dynamical systems and in different combinations,
among which there is a special one generated by self-reproduction. In this paper, we …

This article presents a unified four-dimensional autonomous chaotic system with various
coexisting attractors. The dynamic behaviors of the system are determined by its special …

Megastable and extreme multistable systems comprise two major new branches of
multistable systems. So far, they have been studied separately in various chaotic systems …

Multistability refers to the coexistence of different stable states in nonlinear dynamical
systems. This phenomenon has been observed in laboratory experiments and in nature. In …