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This tutorial provides an overview of the generalized Lyapunov method (GLM) for analyzing input-to-state stability (ISS) of partial differential equations (PDEs). We begin by revisiting the classical Lyapunov method and the standard…

最优化与控制 · 数学 2026-05-05 Jun Zheng , Guchuan Zhu

The study of chaos in relativistic systems has been hampered by the observer dependence of Lyapunov exponents (LEs) and of conditions, such as orbit boundedness, invoked in the interpretation of LEs as indicators of chaos. Here we establish…

混沌动力学 · 物理学 2009-06-11 Adilson E. Motter , Alberto Saa

In chaotic dynamical systems such as the weather, prediction errors grow faster in some situations than in others. Real-time knowledge about the error growth could enable strategies to adjust the modelling and forecasting infrastructure…

计算物理 · 物理学 2023-04-26 Daniel Ayers , Jack Lau , Javier Amezcua , Alberto Carrassi , Varun Ojha

Recently, a new algorithm for the computation of covariant Lyapunov vectors and of corresponding local Lyapunov exponents has become available. Here we study the properties of these still unfamiliar quantities for a number of simple models,…

混沌动力学 · 物理学 2015-05-18 Hadrien Bosetti , Harald A. Posch , Christoph Dellago , William G. Hoover

The time-averaged Lyapunov exponents support a mechanistic description of the chaos generated in and by nonlinear dynamical systems. The exponents are ordered from largest to smallest with the largest one describing the exponential growth…

统计力学 · 物理学 2017-03-09 William Graham Hoover , Carol Griswold Hoover

We introduce new machine-learning techniques for analyzing chaotic dynamical systems. The primary objectives of the study include the development of a new and simple method for calculating the Lyapunov exponent using only two trajectory…

混沌动力学 · 物理学 2024-08-06 Lazare Osmanov

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

Lagrangian techniques, such as the finite-time Lyapunov exponent (FTLE) and hyperbolic Lagrangian coherent structures (LCS), have become popular tools for analyzing unsteady fluid flows. These techniques identify regions where particles…

混沌动力学 · 物理学 2020-10-27 Peter J. Nolan , Mattia Serra , Shane D. Ross

This paper presents numerical methods for computing regions of finite-time invariance (funnels) around solutions of polynomial differential equations. First, we present a method which exactly certifies sufficient conditions for invariance…

动力系统 · 数学 2010-10-15 Mark M. Tobenkin , Ian R. Manchester , Russ Tedrake

The spectrum of Lyapunov exponents is powerful tool for the analysis of the complex system dynamics. In the general framework of nonlinear dynamical systems a number of the numerical technics have been developed to obtain the spectrum of…

等离子体物理 · 物理学 2013-02-19 Alexander E. Hramov , Alexey A. Koronovskii , Vladimir A. Maximenko , Olga I. Moskalenko

We apply to bidimensional chaotic maps the numerical method proposed by Ginelli et al. to approximate the associated Oseledets splitting, i.e. the set of linear subspaces spanned by the so called covariant Lyapunov vectors (CLV) and…

混沌动力学 · 物理学 2016-12-21 Matteo Sala , Cesar Manchein , Roberto Artuso

We introduce a new class of quadratic functions based on a hierarchy of linear time-varying (LTV) dynamical systems. These quadratic functions in the higher order space can be also seen as a non-homogeneous polynomial Lyapunov functions for…

系统与控制 · 电气工程与系统科学 2024-01-25 Hassan Abdelraouf , Eric Feron , Jeff S. Shamma

The goal of this paper is twofold. In the first part we discuss a general approach to determine Lyapunov exponents from ensemble- rather than time-averages. The approach passes through the identification of locally stable and unstable…

混沌动力学 · 物理学 2009-11-11 Antonio Politi , Francesco Ginelli , Serhiy Yanchuk , Yuri Maistrenko

In this technical note, we generalize the well-known Lyapunov-based stabilizability and detectability tests for linear time-invariant (LTI) systems to the context of discrete-time (DT) polytopic linear parameter-varying (LPV) systems. To do…

最优化与控制 · 数学 2023-03-21 T. J. Meijer , V. S. Dolk , W. P. M. H. Heemels

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

Complex-valued bidirectional associative memory (BAM) neural networks with fractional-order dynamics and delays can exhibit transient instabilities that degrade synchronization and short-horizon predictability. This paper develops a unified…

混沌动力学 · 物理学 2026-05-28 Yazhini Muruganantham , Andrei Velichko , Samidurai Rajendran

Chaotic systems have been investigated in the most diverse areas. One of the first steps in chaotic system research is the detection of chaos. The largest Lyapunov exponent (LLE) is one of the most widely used techniques for this purpose.…

数值分析 · 数学 2019-08-29 E. A. Sousa , E. G. Nepomuceno , M. F. S. Barroso

We apply the Smaller ALignment Index (SALI) method to a 4--dimensional mapping of accelerator dynamics in order to distinguish rapidly, reliably and accurately between ordered and chaotic motion. The main advantage of this index is that it…

加速器物理 · 物理学 2008-11-26 T. Bountis , Ch. Skokos

For the class of differentiable maps of the plane and, in particular, for standard-like maps (McMillan form), a simple relation is shown between the directions of the local invariant manifolds of a generic point and its contribution to the…

数学物理 · 物理学 2015-02-25 Matteo Sala , Roberto Artuso

We present a survey of the theory of the Lyapunov Characteristic Exponents (LCEs) for dynamical systems, as well as of the numerical techniques developed for the computation of the maximal, of few and of all of them. After some historical…

混沌动力学 · 物理学 2010-03-24 Charalampos Skokos