CHAPTER 1 Input/Output Representations in the Time Domain CHAPTER 2 Input/Output Representations in the Transform Domain CHAPTER 3 Obtaining Input/Output Representations from Differential-Equation Descr iptions CHAPTER 4 Realization Theory CHAPTER 5
A new method for analysing nonlinear and non-stationary data has been developed. The key part of the method is the `empirical mode decomposition' method with which any complicated data set can be decomposed into a nite and often small number of `int
Scientists working with large volumes of high-dimensional data, such as global climate patterns, stellar spectra, or human gene distributions, regularly con- front the problem of dimensionality reduction: Þnding meaningful low-dimen- sional structur
Nonlinear time series methods have developed rapidly over a quarter of a century and have reached an advanced state of maturity during the last decade. Implementations of these methods for experimental data are now widely accepted and fairly routine
In this paper, a method to identify all physically relevant parameters and nonlinear characteristics of a mechatronic system is presented. For this purpose, the a priori known system structure is used. As an example, a nonlinear two-mass system with
非线性时间序列分析 Nonlinear time series analysis Holger Kantz，Max Planck Institute for Physics of Complex Systems， Dresden Thomas Schreiber，Physics Department ，University of Wuppertal
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The seal characteristic is an important factor affecting the performance of the rotor system. The nonlinear model of the rotor–seal system is established using Muszynska’s nonlinear seal forces. An efficient and high-precision direct integration sch
This book is a somewhat revised version of notes from lectures giyen at the University of Lund during three semesters 1986-87. The aim of those lectures was to present the main results then known about global existence or "blowup" of solutions of non
