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Adaptive Filtering Prediction and Control by Goodwin, Graham C.; Sin, Kwai Sang

by Goodwin, Graham C.; Sin, Kwai Sang | PB | Good
US $9.85
Condition:
Good
Pages can have notes/highlighting. Spine may show signs of wear. ~ ThriftBooks: Read More, ... Read moreabout condition
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eBay item number:196422791366
Last updated on Jul 13, 2024 01:48:10 PDTView all revisionsView all revisions

Item specifics

Condition
Good
A book that has been read but is in good condition. Very minimal damage to the cover including scuff marks, but no holes or tears. The dust jacket for hard covers may not be included. Binding has minimal wear. The majority of pages are undamaged with minimal creasing or tearing, minimal pencil underlining of text, no highlighting of text, no writing in margins. No missing pages. See the seller’s listing for full details and description of any imperfections. See all condition definitionsopens in a new window or tab
Seller Notes
“Pages can have notes/highlighting. Spine may show signs of wear. ~ ThriftBooks: Read More, ...
Binding
Paperback
Weight
1 lbs
Product Group
Book
IsTextBook
No
ISBN
9780486469324
Subject Area
Mathematics, Technology & Engineering, Science
Publication Name
Adaptive Filtering Prediction and Control
Publisher
Dover Publications, Incorporated
Item Length
9.3 in
Subject
Signals & Signal Processing, Probability & Statistics / Stochastic Processes, Mechanics / Dynamics, System Theory
Publication Year
2009
Series
Dover Books on Electrical Engineering Ser.
Type
Textbook
Format
Trade Paperback
Language
English
Item Height
1.1 in
Author
Kwai Sang Sin, Graham C. Goodwin
Item Weight
26.9 Oz
Item Width
6.5 in
Number of Pages
560 Pages

About this product

Product Identifiers

Publisher
Dover Publications, Incorporated
ISBN-10
0486469328
ISBN-13
9780486469324
eBay Product ID (ePID)
66716267

Product Key Features

Number of Pages
560 Pages
Publication Name
Adaptive Filtering Prediction and Control
Language
English
Subject
Signals & Signal Processing, Probability & Statistics / Stochastic Processes, Mechanics / Dynamics, System Theory
Publication Year
2009
Type
Textbook
Author
Kwai Sang Sin, Graham C. Goodwin
Subject Area
Mathematics, Technology & Engineering, Science
Series
Dover Books on Electrical Engineering Ser.
Format
Trade Paperback

Dimensions

Item Height
1.1 in
Item Weight
26.9 Oz
Item Length
9.3 in
Item Width
6.5 in

Additional Product Features

Intended Audience
College Audience
LCCN
2008-044586
Dewey Edition
22
Illustrated
Yes
Dewey Decimal
003.83
Table Of Content
Preface1. Introduction to Adaptive TechniquesPart 1. Deterministic Systems2. Models for Deterministic Dynamical Systems3. Parameter Estimation for Deterministic Systems4. Deterministic Adaptive Prediction5. Control of Linear Deterministic Systems6. Adaptive Control of Linear Deterministic SystemsPart 2. Stochastic Systems7. Optimal Filtering and Prediction8. Parameter Estimation for Stochastic Dynamic Systems9. Adaptive Filtering and Prediction10. Control of Stochastic Systems11. Adaptive Control of Stochastic SystemsAppendicesA. A Brief Review of Some Results from Systems TheoryB. A Summary of Some Stability ResultsC. Passive Systems TheoryD. Probability Theory and Stochastic ProcessesE. Matrix Riccati EquationsReferencesIndex
Synopsis
This unified survey focuses on linear discrete-time systems and explores the natural extensions to nonlinear systems. In keeping with the importance of computers to practical applications, the authors emphasize discrete-time systems. Their approach summarizes the theoretical and practical aspects of a large class of adaptive algorithms. 1984 edition., 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., This unified survey of the theory of adaptive filtering, prediction, and control focuses on linear discrete-time systems and explores the natural extensions to nonlinear systems. In keeping with the importance of computers to practical applications, the authors emphasize discrete-time systems. Their approach summarizes the theoretical and practical aspects of a large class of adaptive algorithms. Ideal for advanced undergraduate and graduate classes, this treatment consists of two parts. The first section concerns deterministic systems, covering models, parameter estimation, and adaptive prediction and control. The second part examines stochastic systems, exploring optimal filtering and prediction, parameter estimation, adaptive filtering and prediction, and adaptive control. Extensive appendices offer a summary of relevant background material, making this volume largely self-contained. Readers will find that these theories, formulas, and applications are related to a variety of fields, including biotechnology, aerospace engineering, computer sciences, and electrical engineering.
LC Classification Number
QA402.G658 2009

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