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This study investigates the nonlinear normal modes (NNMs) of a system comprising of two coupled Duffing oscillators, with one oscillator being grounded and with the coupling being both linear and nonlinear. The study utilizes the…

Chaotic Dynamics · Physics 2024-07-02 Rahul Das , Anil K. Bajaj , Sayan Gupta

Self-oscillation is a phenomenon studied across many scientific disciplines, including the engineering of efficient heat engines and electric generators. We investigate the single electron shuttle, a model nano-scale system that exhibits a…

Statistical Mechanics · Physics 2019-07-03 C. W. Wächtler , P. Strasberg , S. H. L. Klapp , G. Schaller , C. Jarzynski

We study the flow of energy between a harmonic oscillator (HO) and an external environment consisting of N two-degrees of freedom non-linear oscillators, ranging from integrable to chaotic according to a control parameter. The coupling…

Classical Physics · Physics 2011-06-14 Marcelo A. Marchiori , Marcus A. M. de Aguiar

Echo State Networks (ESNs) are time-series processing models working under the Echo State Property (ESP) principle. The ESP is a notion of stability that imposes an asymptotic fading of the memory of the input. On the other hand, the…

Machine Learning · Computer Science 2023-09-06 Andrea Ceni , Claudio Gallicchio

Predicting sea surface temperature (SST) within the El Ni\~no-Southern Oscillation (ENSO) region has been extensively studied due to its significant influence on global temperature and precipitation patterns. Statistical models such as…

Atmospheric and Oceanic Physics · Physics 2023-06-21 Lingda Wang , Savana Ammons , Vera Mikyoung Hur , Ryan L. Sriver , Zhizhen Zhao

Steady-state and dynamics of the self-phase-locked (3\omega ==> 2\omega, \omega) subharmonic optical parametric oscillator are analyzed in the pump-and-signal resonant configuration, using an approximate analytical model and a full…

Optics · Physics 2009-11-10 Jean-Jacques Zondy

We review the currently available stability properties of the ENO reconstruction procedure, such as its monotonicity and non-oscillatory properties, the sign property, upper bounds on cell interface jumps and a total variation-type bound.…

Numerical Analysis · Mathematics 2018-08-02 Ulrik Skre Fjordholm

A simple model of charge transport is provided by a classical particle in a smooth random potential and a dissipative coupling to the environment in the form of Markovian noise and friction. The corresponding Non-Equilibrium Steady State…

Statistical Mechanics · Physics 2024-02-16 Anton Kapustin

Recent work has provided ample evidence that global climate dynamics at time-scales between multiple weeks and several years can be severely affected by the episodic occurrence of both, internal (climatic) and external (non-climatic)…

Atmospheric and Oceanic Physics · Physics 2017-11-15 Tim Kittel , Catrin Ciemer , Nastaran Lotfi , Thomas Peron , Francisco Rodrigues , Jürgen Kurths , Reik V. Donner

El Ni\~no-Southern Oscillation global (ENSO) imprint on sea surface temperature comes in many guises. To identify its tropical fingerprints and impacts on the rest of the climate system, we propose a global approach based on archetypal…

We consider a one-dimensional directional array of diffusively coupled oscillators. They are perturbed by the injection of a small additive noise, typically orders of magnitude smaller than the oscillation amplitude, and the system is…

Disordered Systems and Neural Networks · Physics 2019-01-09 Clement Zankoc , Duccio Fanelli , Francesco Ginelli , Roberto Livi

We study, both analytically and numerically, the dynamics of mechanical oscillators kept in motion by a feedback force, which is generated electronically from a signal produced by the oscillators themselves. This kind of self-sustained…

Adaptation and Self-Organizing Systems · Physics 2015-06-15 Sebastian I. Arroyo , Damian H. Zanette

A general model-based extended state observer (GMB-ESO) is proposed for single-input single-output linear time-invariant systems with a given state space model, where the total disturbance, a lump sum of model uncertainties and external…

Systems and Control · Electrical Eng. & Systems 2023-05-09 Jinfeng Chen , Zhiqiang Gao , Yu Hu , Sally Shao

The current status of oscillation solutions to the Solar Neutrino Problem is reviewed. Four oscillation solutions are discussed in the light of 708d Superkamiokande data: MSW, Just-So VO, VO with Energy-Independent Suppression (EIS) and…

High Energy Physics - Phenomenology · Physics 2011-08-17 V. Berezinsky

In this paper we address the exponential stability of a system of transport equations with intermittent damping on a network of $N \geq 2$ circles intersecting at a single point $O$. The $N$ equations are coupled through a linear mixing of…

Analysis of PDEs · Mathematics 2017-03-16 Yacine Chitour , Guilherme Mazanti , Mario Sigalotti

We study the output feedback exponential stabilization for a 1-d wave PDE with dynamic boundary. With only one measurement, we construct an infinite-dimensional state observer to trace the state and design an estimated state based…

Optimization and Control · Mathematics 2021-05-04 Zhan-Dong Mei

We observe chaotic dynamics in a damped linear oscillator, which is driven only at certain regions of phase space. Both deterministic and random drives are studied. The dynamics is characterized using standard techniques of nonlinear…

Chaotic Dynamics · Physics 2008-09-05 Manu. P. John , V. M. Nandakumaran

Models incorporating delay have been frequently used to understand climate variability phenomena, but often the delay is introduced through an ad-hoc physical reasoning, such as the propagation time of waves. In this paper, the Mori-Zwanzig…

Dynamical Systems · Mathematics 2019-09-11 Swinda K. J. Falkena , Courtney Quinn , Jan Sieber , Jason Frank , Henk A. Dijkstra

Using the isospectral partners of the Bessel functions derived by Reyes et al., we find, on one hand, that these functions show non-typical supersymmetric (SUSY) behavior and, on the other, that the isospectral partner of the classical wave…

Mathematical Physics · Physics 2008-04-10 N. Barbosa-Cendejas , M. A. Reyes

Echo state networks are powerful recurrent neural networks. However, they are often unstable and shaky, making the process of finding an good ESN for a specific dataset quite hard. Obtaining a superb accuracy by using the Echo State Network…

Machine Learning · Statistics 2018-02-22 Qiuyi Wu , Ernest Fokoue , Dhireesha Kudithipudi