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Journal Articles

Directed recurrence networks

Rémi Delage, Toshihiko Nakata

Chaos 33, 113103 (2023)

https://doi.org/10.1063/5.0173394

Published: November 2023

View article titled, Directed recurrence networks

Journal Articles

Random templex encodes topological tipping points in noise-driven chaotic dynamics

Gisela D. Charó, Michael Ghil, Denisse Sciamarella

Chaos 33, 103141 (2023)

https://doi.org/10.1063/5.0140660

Published: October 2023

View article titled, Random templex encodes topological tipping points in noise-driven chaotic dynamics

Journal Articles

Reliability and robustness of oscillations in some slow-fast chaotic systems

Jonathan Jaquette, Sonal Kedia, Evelyn Sander, Jonathan D. Touboul

Chaos 33, 103135 (2023)

https://doi.org/10.1063/5.0166846

Published: October 2023

View article titled, Reliability and robustness of oscillations in some slow-fast chaotic systems

Journal Articles

Transformations that preserve the uniqueness of the differential form for Lorenz-like systems

Claudia Lainscsek, Eduardo M. A. M. Mendes, Gustavo H. O. Salgado, Terrence J. Sejnowski

Chaos 33, 103122 (2023)

https://doi.org/10.1063/5.0156237

Published: October 2023

View article titled, Transformations that preserve the uniqueness of the differential form for Lorenz-like systems

Includes: Supplementary data

Journal Articles

Generalized synchronization mediated by a flat coupling between structurally nonequivalent chaotic systems

Christophe Letellier, Irene Sendiña-Nadal, I. Leyva, Jean-Pierre Barbot

Chaos 33, 093117 (2023)

https://doi.org/10.1063/5.0156025

Published: September 2023

View article titled, Generalized synchronization mediated by a flat coupling between structurally nonequivalent chaotic systems

Journal Articles

A bottom-up approach for recurrence detection based on sampling distance

Rémi Delage, Toshihiko Nakata

Chaos 33, 083142 (2023)

https://doi.org/10.1063/5.0160832

Published: August 2023

View article titled, A bottom-up approach for recurrence detection based on sampling distance

Includes: Supplementary data

Journal Articles

A robust sparse identification method for nonlinear dynamic systems affected by non-stationary noise

Zhihang Hao, Chunhua Yang, Keke Huang

Chaos 33, 083119 (2023)

https://doi.org/10.1063/5.0164484

Published: August 2023

View article titled, A robust sparse identification method for nonlinear dynamic systems affected by non-stationary noise

Journal Articles

Deep Learning for chaos detection

Roberto Barrio, Álvaro Lozano, Ana Mayora-Cebollero, Carmen Mayora-Cebollero, Antonio Miguel, Alfonso Ortega, Sergio Serrano, Rubén Vigara

Chaos 33, 073146 (2023)

https://doi.org/10.1063/5.0143876

Published: July 2023

View article titled, Deep Learning for chaos detection

Journal Articles

Data-informed reservoir computing for efficient time-series prediction

Felix Köster, Dhruvit Patel, Alexander Wikner, Lina Jaurigue, Kathy Lüdge

Chaos 33, 073109 (2023)

https://doi.org/10.1063/5.0152311

Published: July 2023

View article titled, Data-informed reservoir computing for efficient time-series prediction

Includes: Supplementary data

Journal Articles

Effect of temporal resolution on the reproduction of chaotic dynamics via reservoir computing

Kohei Tsuchiyama, André Röhm, Takatomo Mihana, Ryoichi Horisaki, Makoto Naruse

Chaos 33, 063145 (2023)

https://doi.org/10.1063/5.0143846

Published: June 2023

View article titled, Effect of temporal resolution on the reproduction of chaotic dynamics via reservoir computing

Journal Articles

Hard c-mean transition network method for analysis of time series

Guangyu Yang, Shuyan Xia

Chaos 33, 053114 (2023)

https://doi.org/10.1063/5.0147171

Published: May 2023

View article titled, Hard c-mean transition network method for analysis of time series

Journal Articles

Ordinal Poincaré sections: Reconstructing the first return map from an ordinal segmentation of time series

Zahra Shahriari, Shannon D. Algar, David M. Walker, Michael Small

Chaos 33, 053109 (2023)

https://doi.org/10.1063/5.0141438

Published: May 2023

View article titled, Ordinal Poincaré sections: Reconstructing the first return map from an ordinal segmentation of time series

Journal Articles

Time-shift selection for reservoir computing using a rank-revealing QR algorithm

Joseph D. Hart, Francesco Sorrentino, Thomas L. Carroll

Chaos 33, 043133 (2023)

https://doi.org/10.1063/5.0141251

Published: April 2023

View article titled, Time-shift selection for reservoir computing using a rank-revealing QR algorithm

Journal Articles

Synchronization of uncertain general fractional unified chaotic systems via finite-time adaptive sliding mode control

Hui Fu, Yonggui Kao

Chaos 33, 043136 (2023)

https://doi.org/10.1063/5.0130366

Published: April 2023

View article titled, Synchronization of uncertain general fractional unified chaotic systems via finite-time adaptive sliding mode control

Journal Articles

Dynamics, interference effects, and multistability in a Lorenz-like system of a classical wave–particle entity in a periodic potential

J. Perks, R. N. Valani

Chaos 33, 033147 (2023)

https://doi.org/10.1063/5.0125727

Published: March 2023

View article titled, Dynamics, interference effects, and multistability in a Lorenz-like system of a classical wave–particle entity in a periodic potential

Journal Articles

Continuous ordinal patterns: Creating a bridge between ordinal analysis and deep learning

Massimiliano Zanin

Chaos 33, 033114 (2023)

https://doi.org/10.1063/5.0136492

Published: March 2023

View article titled, Continuous ordinal patterns: Creating a bridge between ordinal analysis and deep learning

Journal Articles

Leveraging neural differential equations and adaptive delayed feedback to detect unstable periodic orbits based on irregularly sampled time series

Qunxi Zhu, Xin Li, Wei Lin

Chaos 33, 031101 (2023)

https://doi.org/10.1063/5.0143839

Published: March 2023

View article titled, Leveraging neural differential equations and adaptive delayed feedback to detect unstable periodic orbits based on irregularly sampled time series

Journal Articles

Scale dependence of fractal dimension in deterministic and stochastic Lorenz-63 systems

T. Alberti, D. Faranda, V. Lucarini, R. V. Donner, B. Dubrulle, F. Daviaud

Chaos 33, 023144 (2023)

https://doi.org/10.1063/5.0106053

Published: February 2023

View article titled, Scale dependence of fractal dimension in deterministic and stochastic Lorenz-63 systems

Journal Articles

Using machine learning to anticipate tipping points and extrapolate to post-tipping dynamics of non-stationary dynamical systems

Dhruvit Patel, Edward Ott

Chaos 33, 023143 (2023)

https://doi.org/10.1063/5.0131787

Published: February 2023

View article titled, Using machine learning to anticipate tipping points and extrapolate to post-tipping dynamics of non-stationary dynamical systems

Includes: Supplementary data

Journal Articles

Maximally predictive states: From partial observations to long timescales

Antonio C. Costa, Tosif Ahamed, David Jordan, Greg J. Stephens

Chaos 33, 023136 (2023)

https://doi.org/10.1063/5.0129398

Published: February 2023

View article titled, Maximally predictive states: From partial observations to long timescales

Includes: Supplementary data

NARROW

Topics

Directed recurrence networks

Random templex encodes topological tipping points in noise-driven chaotic dynamics

Reliability and robustness of oscillations in some slow-fast chaotic systems

Transformations that preserve the uniqueness of the differential form for Lorenz-like systems

Generalized synchronization mediated by a flat coupling between structurally nonequivalent chaotic systems

A bottom-up approach for recurrence detection based on sampling distance

A robust sparse identification method for nonlinear dynamic systems affected by non-stationary noise

Deep Learning for chaos detection

Data-informed reservoir computing for efficient time-series prediction

Effect of temporal resolution on the reproduction of chaotic dynamics via reservoir computing

Hard c-mean transition network method for analysis of time series

Ordinal Poincaré sections: Reconstructing the first return map from an ordinal segmentation of time series

Time-shift selection for reservoir computing using a rank-revealing QR algorithm

Synchronization of uncertain general fractional unified chaotic systems via finite-time adaptive sliding mode control

Dynamics, interference effects, and multistability in a Lorenz-like system of a classical wave–particle entity in a periodic potential

Continuous ordinal patterns: Creating a bridge between ordinal analysis and deep learning

Leveraging neural differential equations and adaptive delayed feedback to detect unstable periodic orbits based on irregularly sampled time series

Scale dependence of fractal dimension in deterministic and stochastic Lorenz-63 systems

Using machine learning to anticipate tipping points and extrapolate to post-tipping dynamics of non-stationary dynamical systems

Maximally predictive states: From partial observations to long timescales

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