Extracting Knowledge from Time Series: An Introduction to Nonlinear Empirical Modeling (Paperback)

Extracting Knowledge from Time Series: An Introduction to Nonlinear Empirical Modeling By Boris P. Bezruchko, Dmitry A. Smirnov Cover Image
Add to Wish List
Usually arrives at our store within 4-7 days


Mathematical modelling is ubiquitous. Almost every book in exact science touches on mathematical models of a certain class of phenomena, on more or less speci?c approaches to construction and investigation of models, on their applications, etc. As many textbooks with similar titles, Part I of our book is devoted to general qu- tions of modelling. Part II re?ects our professional interests as physicists who spent much time to investigations in the ?eld of non-linear dynamics and mathematical modelling from discrete sequences of experimental measurements (time series). The latter direction of research is known for a long time as "system identi?cation" in the framework of mathematical statistics and automatic control theory. It has its roots in the problem of approximating experimental data points on a plane with a smooth curve. Currently, researchers aim at the description of complex behaviour (irregular, chaotic, non-stationary and noise-corrupted signals which are typical of real-world objects and phenomena) with relatively simple non-linear differential or difference model equations rather than with cumbersome explicit functions of time. In the second half of the twentieth century, it has become clear that such equations of a s- ?ciently low order can exhibit non-trivial solutions that promise suf?ciently simple modelling of complex processes; according to the concepts of non-linear dynamics, chaotic regimes can be demonstrated already by a third-order non-linear ordinary differential equation, while complex behaviour in a linear model can be induced either by random in?uence (noise) or by a very high order of equations.
Product Details
ISBN: 9783642264825
ISBN-10: 3642264824
Publisher: Springer
Publication Date: November 5th, 2012
Pages: 410
Language: English
Series: Springer Series in Synergetics