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 properties.
Numerous examples used in the book are based on the analysis of real physical data passing through real nonlinear systems in the fields of oceanography, automotive engineering, and biomedical research.
For practicing engineers and scientists involved in aerospace, automotive, biomedical, electrical, mechanical, oceanographic, and other activities concerned with nonlinear system analysis, Nonlinear Systems Techniques and Applications is the essential reference work in the field.
Zero–Memory Nonlinear Systems.
Direct and Reverse MI/SO Techniques for Analysis and Identification of Nonlinear Systems.
Parallel Linear and Nonlinear Systems.
Determination of Physical Parameters with Memory in Nonlinear Systems.
Nonlinear System Response Properties of a Naval Frigate from Measured Ocean Engineering Data.
Nonlinear System Response Properties of a Naval Barge from Measured Ocean Engineering Data.
Bilinear and Trilinear Systems.
Input/Output Relations for Bilinear and Trilinear Systems.
Glossary of Symbols.