Bifurcation Dynamics of a Damped Parametric Pendulum (Synthesis Lectures on Mechanical Engineering)

Guo, Yu,Luo, Albert C.J.

ISBN 10: 1681736845 / ISBN 13: 9781681736846

Editore: Morgan & Claypool Publishers, 2019

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Dati bibliografici

• Titolo: Bifurcation Dynamics of a Damped Parametric Pendulum (Synthesis Lectures on Mechanical Engineering)
• Editore: Morgan & Claypool Publishers
• Data di pubblicazione: 2019
• Lingua: Inglese
• ISBN 10: 1681736845
• ISBN 13: 9781681736846
• Rilegatura: paperback
• Condizione: Very Good

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Riassunto

The inherent complex dynamics of a parametrically excited pendulum is of great interest in nonlinear dynamics, which can help one better understand the complex world.

Even though the parametrically excited pendulum is one of the simplest nonlinear systems, until now, complex motions in such a parametric pendulum cannot be achieved. In this book, the bifurcation dynamics of periodic motions to chaos in a damped, parametrically excited pendulum is discussed. Complete bifurcation trees of periodic motions to chaos in the parametrically excited pendulum include:

• period-1 motion (static equilibriums) to chaos, and
• period- motions to chaos ( = 1, 2, ···, 6, 8, ···, 12).

The aforesaid bifurcation trees of periodic motions to chaos coexist in the same parameter ranges, which are very difficult to determine through traditional analysis. Harmonic frequency-amplitude characteristics of such bifurcation trees are also presented to show motion complexity and nonlinearity in such a parametrically excited pendulum system. The non-travelable and travelable periodic motions on the bifurcation trees are discovered. Through the bifurcation trees of travelable and non-travelable periodic motions, the travelable and non-travelable chaos in the parametrically excited pendulum can be achieved. Based on the traditional analysis, one cannot achieve the adequate solutions presented herein for periodic motions to chaos in the parametrically excited pendulum. The results in this book may cause one rethinking how to determine motion complexity in nonlinear dynamical systems.