Largest Lyapunov Exponents and Bifurcations of Stochastic Nonlinear Systems

Two commonly adopted expressions for the largest Lyapunov exponents of linearized stochastic systems are reviewed. Their features are discussed in light of bifurcation analysis and one expression is selected for evaluating the largest Lyapunov exponent of a linearized system. An independent method,...

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Main Authors: C.W.S. To, D.M. Li
Format: Article
Language:English
Published: Wiley 1996-01-01
Series:Shock and Vibration
Online Access:http://dx.doi.org/10.3233/SAV-1996-3410
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author C.W.S. To
D.M. Li
author_facet C.W.S. To
D.M. Li
author_sort C.W.S. To
collection DOAJ
description Two commonly adopted expressions for the largest Lyapunov exponents of linearized stochastic systems are reviewed. Their features are discussed in light of bifurcation analysis and one expression is selected for evaluating the largest Lyapunov exponent of a linearized system. An independent method, developed earlier by the authors, is also applied to determine the bifurcation points of a van der Pol oscillator under parametric random excitation. It is shown that the bifurcation points obtained by the independent technique agree qualitatively and quantitatively with those evaluated by using the largest Lyapunov exponent of the linearized oscillator.
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spelling doaj-art-7ffc1349638c442da92a04d1c6db509b2025-02-03T05:46:19ZengWileyShock and Vibration1070-96221875-92031996-01-013431332010.3233/SAV-1996-3410Largest Lyapunov Exponents and Bifurcations of Stochastic Nonlinear SystemsC.W.S. To0D.M. Li1Department of Mechanical Engineering, University of Western Ontario, London, Ontario N6A 589, CanadaDepartment of Mechanical Engineering, University of Western Ontario, London, Ontario N6A 589, CanadaTwo commonly adopted expressions for the largest Lyapunov exponents of linearized stochastic systems are reviewed. Their features are discussed in light of bifurcation analysis and one expression is selected for evaluating the largest Lyapunov exponent of a linearized system. An independent method, developed earlier by the authors, is also applied to determine the bifurcation points of a van der Pol oscillator under parametric random excitation. It is shown that the bifurcation points obtained by the independent technique agree qualitatively and quantitatively with those evaluated by using the largest Lyapunov exponent of the linearized oscillator.http://dx.doi.org/10.3233/SAV-1996-3410
spellingShingle C.W.S. To
D.M. Li
Largest Lyapunov Exponents and Bifurcations of Stochastic Nonlinear Systems
Shock and Vibration
title Largest Lyapunov Exponents and Bifurcations of Stochastic Nonlinear Systems
title_full Largest Lyapunov Exponents and Bifurcations of Stochastic Nonlinear Systems
title_fullStr Largest Lyapunov Exponents and Bifurcations of Stochastic Nonlinear Systems
title_full_unstemmed Largest Lyapunov Exponents and Bifurcations of Stochastic Nonlinear Systems
title_short Largest Lyapunov Exponents and Bifurcations of Stochastic Nonlinear Systems
title_sort largest lyapunov exponents and bifurcations of stochastic nonlinear systems
url http://dx.doi.org/10.3233/SAV-1996-3410
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