Adaptive Nonlinear System Identification

Name: Adaptive Nonlinear System Identification
Brand: Springer-Verlag New York Inc.
SKU: 9781441938831
Price: 553.26 RON
Availability: InStock

The Volterra and Wiener Model Approaches

Autor: Tokunbo Ogunfunmi

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Editura: Springer-Verlag New York Inc.

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Focuses on System Identification applications of the adaptive methods presented. but which can also...

Informații despre carte

Autor

Tokunbo Ogunfunmi

Limbă

engleză

Legare

Carte - Carte broșată

Publicat

2010

Pagini

232

EAN

9781441938831

ISBN

1441938834

Enbook ID

01422434

Editura

Springer-Verlag New York Inc.

Greutate

379

Dimensiuni

152 x 229 x 13

Descriere completă

Focuses on System Identification applications of the adaptive methods presented. but which can also be applied to other applications of adaptive nonlinear processes. §Covers recent research results in the area of adaptive nonlinear system identification from the authors and other researchers in the field.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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Adaptive Nonlinear System Identification

The Volterra and Wiener Model Approaches

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