Linearization Methods for Stochastic Dynamic Systems
Leslaw Socha
€ 74.61
FREE Delivery in Ireland
Description for Linearization Methods for Stochastic Dynamic Systems
Hardback. For most cases of interest, exact solutions to nonlinear equations describing stochastic dynamical systems are not available. This book details the relatively simple and popular linearization techniques available, covering theory as well as application. It examines models with continuous external and parametric excitations. Series: Lecture Notes in Physics. Num Pages: 394 pages, biography. BIC Classification: PBWL; PH. Category: (U) Tertiary Education (US: College). Dimension: 234 x 156 x 22. Weight in Grams: 1610.
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 continuous 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. ... Read more
Show LessProduct Details
Format
Hardback
Publication date
2007
Publisher
Springer-Verlag Berlin and Heidelberg GmbH & Co. KG Germany
Number of pages
394
Condition
New
Series
Lecture Notes in Physics
Number of Pages
383
Place of Publication
Berlin, Germany
ISBN
9783540729969
SKU
V9783540729969
Shipping Time
Usually ships in 15 to 20 working days
Ref
99-15
Reviews for Linearization Methods for Stochastic Dynamic Systems
From the reviews: "This book deals with numerous linearization techniques for stochastic dynamic systems. … As a textbook, it can serve for both advanced undergraduate and graduate courses. … At the end of each chapter one finds bibliographic references. … The author provides a very valuable toolbox on the basic idea of statistical linearization methods." ... Read more