activity
20242026
most citedControlling Transient Chaos in the Lorenz System with Machine Learning

2 citations · 3 across the 10 of their papers we have counts for

collaborators

10 papers

nlin.CD2026

High-frequency tuning of internal resonance and targeted energy transfer in a Van der Pol oscillator coupled to a nonlinear energy sink

Somnath Roy, Mattia Coccolo, Sayan Gupta +1

Targeted energy transfer (TET) from a Van der Pol oscillator coupled to a nonlinear energy sink (NES) is investigated under the action of a high-frequency external drive, which tun…

nlin.CD2025

A simple method to enlarge a basin of attraction using a memristive function

Alexandre R. Nieto, Rubén Capeáns, Miguel A. F. Sanjuán

This study presents an innovative approach to chaotic attractor stabilization introducing a memristor in discrete dynamical systems. Using the Hénon map as a test case, we replace…

nlin.CD2025

Two-Player Yorke's Game of Survival in Chaotic Transients

Gaspar Alfaro, Rubén Capeáns, Miguel A. F. Sanjuán

We present a novel two-player game in a chaotic dynamical system where players have opposing objectives regarding the system's behavior. The game is analyzed using a methodology fr…

nlin.CD2025★ 2 cited

Controlling Transient Chaos in the Lorenz System with Machine Learning

David Valle, Rubén Capeans, Alexandre Wagemakers +1

This paper presents a novel approach to sustain transient chaos in the Lorenz system through the estimation of safety functions using a transformer-based model. Unlike classical me…

nlin.CD2024

When a periodic forcing and a time-delayed nonlinear forcing drive a non-delayed Duffing oscillator

Mattia Coccolo, Miguel A. F. Sanjuán

When two systems are coupled, the driver system can function as an external forcing over the driven or response system. Also, an external forcing can independently perturb the driv…

nlin.CD2024

AI-Driven Control of Chaos: A Transformer-Based Approach for Dynamical Systems

David Valle, Rubén Capeáns, Alexandre Wagemakers +1

Chaotic behavior in dynamical systems poses a significant challenge in trajectory control, traditionally relying on computationally intensive physical models. We present a machine…