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相关论文: The Lyapunov dimension and its estimation via the …

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Nowadays there are a number of surveys and theoretical works devoted to the Lyapunov exponents and Lyapunov dimension, however most of them are devoted to infinite dimensional systems or rely on special ergodic properties of the system. At…

动力系统 · 数学 2016-02-22 G. A. Leonov , N. V. Kuznetsov

The exact Lyapunov dimension formula for the Lorenz system has been analytically obtained first due to G.A.Leonov in 2002 under certain restrictions on parameters, permitting classical values. He used the construction technique of special…

动力系统 · 数学 2016-06-22 G. A. Leonov , N. V. Kuznetsov , N. A. Korzhemanova , D. V. Kusakin

Nowadays various estimates of Lyapunov dimension of Lorenz-like systems attractors are actively developed. Within the frame of this study the question arises whether it is possible to obtain the corresponding estimates of dimension for the…

混沌动力学 · 物理学 2015-04-21 G. A. Leonov , N. V. Kuznetsov , N. A. Korzhemanova , D. V. Kusakin

Covariant Lyapunov vectors characterize the directions along which perturbations in dynamical systems grow. They have also been studied as predictors of critical transitions and extreme events. For many applications like, for example,…

数据分析、统计与概率 · 物理学 2022-03-14 Christoph Martin , Nahal Sharafi , Sarah Hallerberg

This work is devoted to further consideration of the Henon map with negative values of the shrinking parameter and the study of transient oscillations, multistability, and possible existence of hidden attractors. The computation of the…

混沌动力学 · 物理学 2017-12-06 N. V. Kuznetsov , G. A. Leonov , T. N. Mokaev

Lyapunov exponents are well-known characteristic numbers that describe growth rates of perturbations applied to a trajectory of a dynamical system in different state space directions. Covariant (or characteristic) Lyapunov vectors indicate…

混沌动力学 · 物理学 2012-03-28 Pavel V. Kuptsov , Ulrich Parlitz

A general indicator of the presence of chaos in a dynamical system is the largest Lyapunov exponent. This quantity provides a measure of the mean exponential rate of divergence of nearby orbits. In this paper, we show that the so-called…

混沌动力学 · 物理学 2014-01-28 F. L. Dubeibe , L. D. Bermudez-Almanza

First-order methods are often analyzed via their continuous-time models, where their worst-case convergence properties are usually approached via Lyapunov functions. In this work, we provide a systematic and principled approach to find and…

数值分析 · 数学 2024-03-12 Céline Moucer , Adrien Taylor , Francis Bach

In this short report, for the classical Lorenz attractor we demonstrate the applications of the Pyragas time-delayed feedback control technique and Leonov analytical method for the Lyapunov dimension estimation and verification of the…

混沌动力学 · 物理学 2019-10-29 N. V. Kuznetsov , T. N. Mokaev , R. N. Mokaev , O. A. Kuznetsova , E. V. Kudryashova

The Rabinovich system, describing the process of interaction between waves in plasma, is considered. It is shown that the Rabinovich system can exhibit a {hidden attractor} in the case of multistability as well as a classical {self-excited…

混沌动力学 · 物理学 2018-03-12 N. V. Kuznetsov , G. A. Leonov , T. N. Mokaev , A. Prasad , M. D. Shrimali

We propose a two-phase systematical framework for approximation algorithm design and analysis via Lyapunov function. The first phase consists of using Lyapunov function as an input and outputs a continuous-time approximation algorithm with…

最优化与控制 · 数学 2022-09-08 Donglei Du

A method for constructing homogeneous Lyapunov functions of degree 1 from polynomial invariant sets is presented for linear time varying systems, homogeneous dynamic systems and the class of nonlinear systems that can be represented as…

动力系统 · 数学 2023-03-07 Hassan Abdelraouf , Eric Feron , Jeff Shamma

In this paper, we study the stability problem of a stochastic, nonlinear, discrete-time system. We introduce a linear transfer operator-based Lyapunov measure as a new tool for stability verification of stochastic systems. Weaker…

动力系统 · 数学 2017-02-20 Umesh Vaidya

We develop a versatile deep neural network architecture, called Lyapunov-Net, to approximate Lyapunov functions of dynamical systems in high dimensions. Lyapunov-Net guarantees positive definiteness, and thus it can be easily trained to…

机器学习 · 计算机科学 2022-08-19 Nathan Gaby , Fumin Zhang , Xiaojing Ye

Kenyon and Peres (1991) showed that the Hausdorff dimension of intersections of randomly translated Cantor sets can be expressed in terms of the top Lyapunov exponent of a product of random matrices, and this exponent can be written as an…

动力系统 · 数学 2026-01-29 Nima Alibabaei

Constraints are found on the spatial variation of finite-time Lyapunov exponents of two and three-dimensional systems of ordinary differential equations. In a chaotic system, finite-time Lyapunov exponents describe the average rate of…

混沌动力学 · 物理学 2009-10-31 Jean-Luc Thiffeault , Allen H. Boozer

Lyapunov functions play a vital role in the context of control theory for nonlinear dynamical systems. Besides its classical use for stability analysis, Lyapunov functions also arise in iterative schemes for computing optimal feedback laws…

最优化与控制 · 数学 2023-11-03 Tobias Breiten , Bernhard Höveler

In latter days the technique of attractors dimension estimate of Lorenz type systems is actively developed. In this work the Lyapunov dimension of attractors of the Tigan and Yang systems is estimated.

混沌动力学 · 物理学 2015-10-07 G. A. Leonov , N. V. Kuznetsov , N. A. Korzhemanova , D. V. Kusakin

A general method to determine covariant Lyapunov vectors in both discrete- and continuous-time dynamical systems is introduced. This allows to address fundamental questions such as the degree of hyperbolicity, which can be quantified in…

混沌动力学 · 物理学 2009-11-13 F. Ginelli , P. Poggi , A. Turchi , H. Chaté , R. Livi , A. Politi

We discuss several numerical methods for calculating Lyapunov exponents (a quantitative measure of chaos) in systems of ordinary differential equations. We pay particular attention to constrained systems, and we introduce a variety of…

计算物理 · 物理学 2009-09-29 Michael D. Hartl
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