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Overview
New practical techniques for nonlinear system research and evaluation
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.
Synopsis
New practical techniques for nonlinear system research and evaluation
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.
Booknews
Introduces some practical techniques for analyzing and identifying nonlinear systems from random data measured at the input and output points of the systems. They require only one-dimensional spectral functions that are much simpler to compute and apply than previous nonlinear procedures. The results indicate when and how to replace a wide class of single-input/single-output models with simpler equivalents using multiple inputs and single outputs. The methods are not restricted to Gaussian data, but can digest data with arbitrary probability, correlation, and spectral properties. They can be applied to nonlinear systems wherever they are encountered. Annotation c. by Book News, Inc., Portland, Or.
Editorials
From the Publisher
"...of extreme value to scientists and engineers engaged in nonlinear system identification...a valuable contribution to the emerging field of nonlinear system identification due to its clear treatment of mathematical theory and engineering applications." (International Journal of Robust and Nonlinear Control, Vol. 11, July 2001)