Nonlinear Dynamical Systems in Engineering
Some Approximate Approaches
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Beschreibung
This book presents and extends different known methods to solve different types of strong nonlinearities encountered by engineering systems. A better knowledge of the classical methods presented in the first part lead to a better choice of the so-called “base functions”. These are absolutely necessary to obtain the auxiliary functions involved in the optimal approaches which are presented in the second part.
Every chapter introduces a distinct approximate method applicable to nonlinear dynamical systems. Each approximate analytical approach is accompanied by representative examples related to nonlinear dynamical systems from various fields of engineering.
This book presents and extend different known methods to solve different types of strong nonlinearities encountered by engineering systems. A better knowledge of the classical methods presented in the first part lead to a better choice of the so-called “base functions”. These are absolutely necessary to obtain the auxiliary functions involved in the optimal approaches which are presented in the second part.
Every chapter introduces a distinct approximate method applicable to nonlinear dynamical systems. Each approximate analytical approach is accompanied by representative examples related to nonlinear dynamical systems from to various fields of engineering.
Provides a better understanding of the base functions and the auxialiary functions for optimal approaches Inspires to appreciate the beauty as well as the usefulness of the optimal analytical techniques Includes many representative examples from to various fields of engineering Includes supplementary material: sn.pub/extras
Autor*in
Vasile Marinca
Themen in »Nonlinear Dynamical Systems in Engineering«
Harmonic balance Krylov and Bogolyubov method of Lindstedt-Poincaré Multiple scales auxiliary functions base functions homotopy asymptotic method homotopy perturbation method parametric iteration method variational iteration method complexity