Linearization Methods for Stochastic Dynamic Systems
For most cases of interest, exact solutions to nonlinear equations describing stochastic dynamical systems are not available. The aim of this book is to give a systematic introduction to and overview of the relatively simple and popular linearization methods available. The scope is limited to models...
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oai:localhost:123456789-1297342023-07-17T15:13:00Z Linearization Methods for Stochastic Dynamic Systems Socha, Leslaw. SpringerLink (Online service) Engenharia. Distribuição (Teoria da probabilidade) Fisica matematica. Física. Vibração. For most cases of interest, exact solutions to nonlinear equations describing stochastic dynamical systems are not available. The aim of this book is to give a systematic introduction to and overview of the relatively simple and popular linearization methods available. The scope is limited to models with continous external and parametric excitations, yet these cover the majority of known approaches. The book contains an application chapter with emphasis on vibration analysis of stochastic mechanical structures as well as a chapter devoted to the assessment of the accuracy of the theoretical methods presented, both with respect to numerical and to experimental studies. The material derives partly from graduate course notes developed by the author for courses and seminars over the past 20 years. 0 2022-10-06T07:49:58Z 2022-10-06T07:49:58Z 2008. Digital 62 S678l 9783540729976 197684 http://dx.doi.org/10.1007/978-3-540-72997-6 http://dx.doi.org/10.1007/978-3-540-72997-6 |
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Engenharia. Distribuição (Teoria da probabilidade) Fisica matematica. Física. Vibração. |
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Engenharia. Distribuição (Teoria da probabilidade) Fisica matematica. Física. Vibração. Socha, Leslaw. SpringerLink (Online service) Linearization Methods for Stochastic Dynamic Systems |
description |
For most cases of interest, exact solutions to nonlinear equations describing stochastic dynamical systems are not available. The aim of this book is to give a systematic introduction to and overview of the relatively simple and popular linearization methods available. The scope is limited to models with continous external and parametric excitations, yet these cover the majority of known approaches. The book contains an application chapter with emphasis on vibration analysis of stochastic mechanical structures as well as a chapter devoted to the assessment of the accuracy of the theoretical methods presented, both with respect to numerical and to experimental studies. The material derives partly from graduate course notes developed by the author for courses and seminars over the past 20 years. |
format |
Digital |
author |
Socha, Leslaw. SpringerLink (Online service) |
author_facet |
Socha, Leslaw. SpringerLink (Online service) |
author_sort |
Socha, Leslaw. |
title |
Linearization Methods for Stochastic Dynamic Systems |
title_short |
Linearization Methods for Stochastic Dynamic Systems |
title_full |
Linearization Methods for Stochastic Dynamic Systems |
title_fullStr |
Linearization Methods for Stochastic Dynamic Systems |
title_full_unstemmed |
Linearization Methods for Stochastic Dynamic Systems |
title_sort |
linearization methods for stochastic dynamic systems |
publishDate |
2022 |
url |
http://dx.doi.org/10.1007/978-3-540-72997-6 |
work_keys_str_mv |
AT sochaleslaw linearizationmethodsforstochasticdynamicsystems AT springerlinkonlineservice linearizationmethodsforstochasticdynamicsystems |
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1771689192560001024 |