Description
Wiley India Pvt Ltd Nonlinear System Techniques And Applications by Bendat Julius S.
Nonlinear Systems Techniques and Applications provides the most practical techniques currently available for analyzing and identifying nonlinear systems from random data measured at the input and output points of the nonlinear systems These new techniques require only one-dimensional spectral functions that are much simpler to compute and apply than previous nonlinear procedures The new results show when and how to replace a wide class of single-input/single-output nonlinear models with simpler equivalent multiple-input/single-output linear models While other techniques are usually restricted to Gaussian data, the new techniques developed here apply to data with arbitrary probability, correlation and spectral propertiesContentsLinear Systems, Random DataZero-Memory Nonlinear SystemsDirect and Reverse MI/SO Techniques for Analysis and Identification of Nonlinear SystemsParallel Linear and Nonlinear SystemsDetermination of Physical Parameters with Memory in Nonlinear SystemsNonlinear System Response Properties of a Naval Frigate from Measured Ocean Engineering DataNonlinear System Response Properties of a Naval Barge from Measured Ocean Engineering DataBilinear and Trilinear SystemsInput/Output Relations for Bilinear and Trilinear SystemsReferencesIndexGlossary of SymbolsAbout the Author: Julius S BendatJulius S Bendat is a mathematical consultant and lecturer.