Introduction to Nonlinear Systems -- Polynomial Models for Nonlinear Systems -- Volterra and Wiener Nonlinear Models -- Nonlinear System Indentification Methods -- Introduction to Adaptive Signal Processing -- Nonlinear Adaptive System Identification based on Volterra Models -- Nonlinear Adaptive System Identification based on Wiener Models: Part I -- Nonlinear Adaptive System Identification based on Wiener Models: Part II -- Nonlinear Adaptive System Identification based on Wiener Models: Part III -- Nonlinear Adaptive System Identification based on Wiener Models: Part IV -- Conclusions, Recent Results, and New Directions.
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SUMMARY OR ABSTRACT
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"Adaptive Nonlinear System Identification: The Volterra and Wiener Model Approaches introduces engineers and researchers to the field of nonlinear adaptive system identification. The book includes recent research results in the area of adaptive nonlinear system identification and presents simple, concise, easy-to-understand methods for identifying nonlinear systems. These methods use adaptive filter algorithms that are well known for linear systems identification. They are applicable for nonlinear systems that can be efficiently modeled by polynomials." "Adaptive Nonlinear System Identification: The Volterra and Wiener Model Approaches is useful to graduate students, engineers and researchers in the areas of nonlinear systems, control, biomedical systems and in adaptive signal processing."--Jacket.
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Master and use copy. Digital master created according to Benchmark for Faithful Digital Reproductions of Monographs and Serials, Version 1. Digital Library Federation, December 2002.