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Identification of Continuous-time Models from Sampled Data

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Cover of 'Identification of Continuous-time Models from Sampled Data'

Table of Contents

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    Book Overview
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    Chapter 1 Direct Identification of Continuous-time Models from Sampled Data: Issues, Basic Solutions and Relevance
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    Chapter 2 Estimation of Continuous-time Stochastic System Parameters
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    Chapter 3 Robust Identification of Continuous-time Systems from Sampled Data
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    Chapter 4 Refined Instrumental Variable Identification of Continuous-time Hybrid Box-Jenkins Models
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    Chapter 5 Instrumental Variable Methods for Closed-loop Continuous-time Model Identification
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    Chapter 6 Model Order Identification for Continuous-time Models
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    Chapter 7 Estimation of the Parameters of Continuous-time Systems Using Data Compression
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    Chapter 8 Frequency-domain Approach to Continuous-time System Identification: Some Practical Aspects
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    Chapter 9 The CONTSID Toolbox: A Software Support for Data-based Continuous-time Modelling
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    Chapter 10 Subspace-based Continuous-time Identification
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    Chapter 11 Process Parameter and Delay Estimation from Non-uniformly Sampled Data
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    Chapter 12 Iterative Methods for Identification of Multiple-input Continuous-time Systems with Unknown Time Delays
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    Chapter 13 Closed-loop Parametric Identification for Continuous-time Linear Systems via New Algebraic Techniques
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    Chapter 14 Continuous-time Model Identification Using Spectrum Analysis with Passivity-preserving Model Reduction
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Citations

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Readers on

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147 Mendeley
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Title
Identification of Continuous-time Models from Sampled Data
Published by
Springer London, January 2008
DOI 10.1007/978-1-84800-161-9
ISBNs
978-1-84800-160-2, 978-1-84800-161-9
Authors

Hugues Garnier, Liuping Wang

Editors

Garnier, Hugues, Wang, Liuping

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 147 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Netherlands 2 1%
France 2 1%
Germany 1 <1%
Cuba 1 <1%
Brazil 1 <1%
United Kingdom 1 <1%
Canada 1 <1%
Venezuela, Bolivarian Republic of 1 <1%
United States 1 <1%
Other 1 <1%
Unknown 135 92%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 46 31%
Researcher 24 16%
Student > Master 18 12%
Professor > Associate Professor 13 9%
Student > Postgraduate 9 6%
Other 26 18%
Unknown 11 7%
Readers by discipline Count As %
Engineering 89 61%
Computer Science 12 8%
Mathematics 8 5%
Medicine and Dentistry 3 2%
Economics, Econometrics and Finance 2 1%
Other 17 12%
Unknown 16 11%