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Identification of Continuous-Tim
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eBay item number:395317217693
Item specifics
- Condition
- ISBN-13
- 9780367371432
- Book Title
- Identification of Continuous-Time Systems
- ISBN
- 9780367371432
- Subject Area
- Technology & Engineering
- Publication Name
- Identification of Continuous-Time Systems : Linear and Robust Parameter Estimation
- Publisher
- CRC Press LLC
- Item Length
- 9.4 in
- Subject
- Automation, Electrical
- Publication Year
- 2019
- Series
- Engineering Systems and Sustainability Ser.
- Type
- Textbook
- Format
- Hardcover
- Language
- English
- Item Height
- 0.6 in
- Item Weight
- 12 Oz
- Item Width
- 6.4 in
- Number of Pages
- 120 Pages
About this product
Product Information
Models of dynamical systems are required for various purposes in the field of systems and control. The models are handled either in discrete time (DT) or in continuous time (CT). Physical systems give rise to models only in CT because they are based on physical laws which are invariably in CT. In system identification, indirect methods provide DT models which are then converted into CT. Methods of directly identifying CT models are preferred to the indirect methods for various reasons. The direct methods involve a primary stage of signal processing, followed by a secondary stage of parameter estimation. In the primary stage, the measured signals are processed by a general linear dynamic operation--computational or realized through prefilters, to preserve the system parameters in their native CT form--and the literature is rich on this aspect. In this book: Identification of Continuous-Time Systems-Linear and Robust Parameter Estimation , Allamaraju Subrahmanyam and Ganti Prasada Rao consider CT system models that are linear in their unknown parameters and propose robust methods of estimation. This book complements the existing literature on the identification of CT systems by enhancing the secondary stage through linear and robust estimation. In this book, the authors provide an overview of CT system identification, consider Markov-parameter models and time-moment models as simple linear-in-parameters models for CT system identification, bring them into mainstream model parameterization via basis functions, present a methodology to robustify the recursive least squares algorithm for parameter estimation of linear regression models, suggest a simple off-line error quantification scheme to show that it is possible to quantify error even in the absence of informative priors, and indicate some directions for further research. This modest volume is intended to be a useful addition to the literature on identifying CT systems.
Product Identifiers
Publisher
CRC Press LLC
ISBN-10
036737143x
ISBN-13
9780367371432
eBay Product ID (ePID)
5038305372
Product Key Features
Number of Pages
120 Pages
Language
English
Publication Name
Identification of Continuous-Time Systems : Linear and Robust Parameter Estimation
Publication Year
2019
Subject
Automation, Electrical
Type
Textbook
Subject Area
Technology & Engineering
Series
Engineering Systems and Sustainability Ser.
Format
Hardcover
Dimensions
Item Height
0.6 in
Item Weight
12 Oz
Item Length
9.4 in
Item Width
6.4 in
Additional Product Features
Intended Audience
College Audience
Illustrated
Yes
Table of Content
1. Introduction and Overview 2. Markov Parameter Models 3. Time Moment Models 4. Robust Parameter Estimation 5. Error Quantification 6. Conclusions
Copyright Date
2020
Item description from the seller
Seller assumes all responsibility for this listing.
eBay item number:395317217693
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Item location:
Fairfield, Ohio, United States
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This time, it was delivered a week late. In the grand scheme of things not a big deal. But it shouldn’t be this difficult to accurately track my purchase.