In the field of complex dynamics, multistable attractors have been gaining significant
attention due to their unpredictability in occurrence and extreme sensitivity to initial …

In this study, we employ a machine learning approach to infer the complex dynamics of
dragon king extreme events. Specifically, we utilize two distinct machine learning …

It is generally known that in a mixture of coupled active and inactive nonlinear oscillators, the
entire system may stop oscillating and become inactive if the fraction of active oscillators is …

Extreme events are defined as events that largely deviate from the nominal state of the
system as observed in a time series. Due to the rarity and uncertainty of their occurrence …

We delve into the intriguing realm of reservoir computing to predict the intricate dynamics of
a stochastic FitzHugh–Nagumo neuron model subjected to external noise. Through …

Reservoir Computing has found many potential applications in the field of complex
dynamics. In this article, we explore the exceptional capability of the echo-state network …

The echo state property (ESP) is a key concept for understanding the working principle of
the most widely used reservoir computing model, the echo state network (ESN). The ESP is …

This paper studies how to design a control scheme for a complex dynamical network (CDN)
such that the state of nodes and links can track on any given reference signals respectively …