Adaptive Nonlinear System Identification: The Volterra and Wiener Model Approaches (Signals and Communication Technology)
暫譯: 自適應非線性系統識別:Volterra 與 Wiener 模型方法(信號與通信技術)

Tokunbo Ogunfunmi

  • 出版商: Springer
  • 出版日期: 2007-09-12
  • 售價: $4,600
  • 貴賓價: 9.5$4,370
  • 語言: 英文
  • 頁數: 232
  • 裝訂: Hardcover
  • ISBN: 0817641351
  • ISBN-13: 9780387263281
  • 海外代購書籍(需單獨結帳)

商品描述

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.

商品描述(中文翻譯)

《自適應非線性系統識別:Volterra 與 Wiener 模型方法》向工程師和研究人員介紹了非線性自適應系統識別的領域。本書包含了在自適應非線性系統識別領域的最新研究成果,並提供了簡單、簡潔且易於理解的非線性系統識別方法。這些方法使用了在線性系統識別中廣為人知的自適應濾波算法,適用於可以有效用多項式建模的非線性系統。

在簡要介紹非線性系統和自適應系統識別之後,作者介紹了離散的 Volterra 模型方法。接著解釋了 Wiener 模型方法。基於這兩種模型開發了自適應算法。然後比較這兩種方法的性能,以確定哪一種模型在系統識別應用中表現更佳。

《自適應非線性系統識別:Volterra 與 Wiener 模型方法》對於非線性系統、控制、生醫系統以及自適應信號處理領域的研究生、工程師和研究人員都非常有用。