Adaptive Filtering Prediction and Control

Adaptive Filtering Prediction and Control
Author: Graham C Goodwin
Publisher: Courier Corporation
Total Pages: 562
Release: 2014-05-05
Genre: Technology & Engineering
ISBN: 0486137724


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This unified survey focuses on linear discrete-time systems and explores natural extensions to nonlinear systems. It emphasizes discrete-time systems, summarizing theoretical and practical aspects of a large class of adaptive algorithms. 1984 edition.


Adaptive Filtering Prediction and Control
Language: en
Pages: 562
Authors: Graham C Goodwin
Categories: Technology & Engineering
Type: BOOK - Published: 2014-05-05 - Publisher: Courier Corporation

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This unified survey focuses on linear discrete-time systems and explores natural extensions to nonlinear systems. It emphasizes discrete-time systems, summarizi
Robust Adaptive Control
Language: en
Pages: 850
Authors: Petros Ioannou
Categories: Technology & Engineering
Type: BOOK - Published: 2013-09-26 - Publisher: Courier Corporation

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This tutorial-style presentation of the fundamental techniques and algorithms in adaptive control is designed to meet the needs of a wide audience without sacri
Adaptive Control, Filtering, and Signal Processing
Language: en
Pages: 404
Authors: K.J. Aström
Categories: Science
Type: BOOK - Published: 2012-12-06 - Publisher: Springer Science & Business Media

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The area of adaptive systems, which encompasses recursive identification, adaptive control, filtering, and signal processing, has been one of the most active ar
Complex Valued Nonlinear Adaptive Filters
Language: en
Pages: 344
Authors: Danilo P. Mandic
Categories: Science
Type: BOOK - Published: 2009-04-20 - Publisher: John Wiley & Sons

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This book was written in response to the growing demand for a text that provides a unified treatment of linear and nonlinear complex valued adaptive filters, an
Kernel Adaptive Filtering
Language: en
Pages: 240
Authors: Weifeng Liu
Categories: Science
Type: BOOK - Published: 2010-03-01 - Publisher: Wiley

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Online learning from a signal processing perspective There is increased interest in kernel learning algorithms inneural networks and a growing need for nonlinea