An approach to the time-accurate prediction of chaotic solutions is by learning temporal
patterns from data. Echo State Networks (ESNs), which are a class of Reservoir Computing …

The paper presents a new four-dimensional hyperchaotic system developed by extension of
the generalized diffusionless Lorenz equations. The model is shown to not be equivalent to …

This paper reports the finding of a four-dimensional (4D) non-Sil'nikov autonomous system
with three quadratic nonlinearities, which exhibits some behavior previously unobserved …

An attracting periodic, quasiperiodic or chaotic set of a smooth, autonomous system may be
referred to as a “hidden attractor” if its basin of attraction does not overlap with the …

The term'hidden attractor'relates to a stable periodic, quasiperiodic or chaotic state whose
basin of attraction does not overlap with the neighborhood of an unstable equilibrium point …

This paper presents a novel third-order autonomous memristive chaotic oscillator, which is
accomplished by parallelly coupling a simple memristive diode bridge emulator into a Sallen …

In this paper, an extended Rikitake system is studied. Several issues, such as Hopf
bifurcation, coexistence of stable equilibria and hidden attractor, and dynamics analysis at …

We report parameter planes displaying dynamical behaviors of a radio-physical oscillator
system, which is modeled by a set of four-parameter three autonomous first-order nonlinear …

In this paper the nonlinear dynamics of the pure Intrinsic Thermo-Acoustic (ITA) modes are
experimentally investigated for burner stabilized premixed flames by decoupling them from …

Regardless of the marked differences between biological and artificial neural systems, one
fundamental similarity is that they are essentially dynamical systems that can learn to imitate …