Description
New practical techniques for nonlinear system research andevaluation
Nonlinear Systems Techniques and Applications provides the mostpractical techniques currently available for analyzing andidentifying nonlinear systems from random data measured at theinput and output points of the nonlinear systems. These newtechniques require only one-dimensional spectral functions that aremuch simpler to compute and apply than previous nonlinearprocedures. The new results show when and how to replace a wideclass of single-input/single-output nonlinear models with simplerequivalent multiple-input/single-output linear models. While othertechniques are usually restricted to Gaussian data, the newtechniques developed here apply to data with arbitrary probability,correlation, and spectral properties.
Numerous examples used in the book are based on the analysis ofreal physical data passing through real nonlinear systems in thefields of oceanography, automotive engineering, and biomedicalresearch.
For practicing engineers and scientists involved in aerospace,automotive, biomedical, electrical, mechanical, oceanographic, andother activities concerned with nonlinear system analysis,Nonlinear Systems Techniques and Applications is the essentialreference work in the field.
About the Author
JULIUS S. BENDAT is a mathematical consultant and lecturer.
Reviews
"...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)
Book Information
ISBN 9780471165767
Author Julius S. Bendat
Format Hardback
Page Count 496
Imprint Wiley-Interscience
Publisher John Wiley & Sons Inc
Weight(grams) 826g
Dimensions(mm) 240mm * 165mm * 33mm
Nonlinear Systems Techniques and Applications provides the mostpractical techniques currently available for analyzing andidentifying nonlinear systems from random data measured at theinput and output points of the nonlinear systems. These newtechniques require only one-dimensional spectral functions that aremuch simpler to compute and apply than previous nonlinearprocedures. The new results show when and how to replace a wideclass of single-input/single-output nonlinear models with simplerequivalent multiple-input/single-output linear models. While othertechniques are usually restricted to Gaussian data, the newtechniques developed here apply to data with arbitrary probability,correlation, and spectral properties.
Numerous examples used in the book are based on the analysis ofreal physical data passing through real nonlinear systems in thefields of oceanography, automotive engineering, and biomedicalresearch.
For practicing engineers and scientists involved in aerospace,automotive, biomedical, electrical, mechanical, oceanographic, andother activities concerned with nonlinear system analysis,Nonlinear Systems Techniques and Applications is the essentialreference work in the field.
About the Author
JULIUS S. BENDAT is a mathematical consultant and lecturer.
Reviews
"...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)
Book Information
ISBN 9780471165767
Author Julius S. Bendat
Format Hardback
Page Count 496
Imprint Wiley-Interscience
Publisher John Wiley & Sons Inc
Weight(grams) 826g
Dimensions(mm) 240mm * 165mm * 33mm
