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Adaptive Nonlinear System Identification : The Volterra and Wiener Model Approaches

By: Tokunbo Ogunfunmi (Author)

Ksh 16,110.00
Format :

Format(s): DRM PDF

ISBN-13: 9780387686301

Publisher: Springer US

Imprint: Springer

Publication Date: September 5th, 2007

Country of Publication: US

Language: English

Physical Edition EAN: 9780387263281

Category: Cybernetics & systems theory

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  • Description

  • Author Bio

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.After a brief introduction to nonlinear systems and to adaptive system identification, the author presents the discrete Volterra model approach. This is followed by an explanation of the Wiener model approach. Adaptive algorithms using both models are developed. The performance of the two methods are then compared to determine which model performs better for system identification applications. Adaptive Nonlinear System Identification: The Volterra and Wiener Model Approaches is useful to graduates students, engineers and researchers in the areas of nonlinear systems, control, biomedical systems and in adaptive signal processing.

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