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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
Attention for Chapter 13: Closed-loop Parametric Identification for Continuous-time Linear Systems via New Algebraic Techniques
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Citations

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Chapter title
Closed-loop Parametric Identification for Continuous-time Linear Systems via New Algebraic Techniques
Chapter number 13
Book title
Identification of Continuous-time Models from Sampled Data
Published by
Springer, London, January 2008
DOI 10.1007/978-1-84800-161-9_13
Book ISBNs
978-1-84800-160-2, 978-1-84800-161-9
Authors

Michel Fliess, Hebertt Sira-Ramírez

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 37 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
France 2 5%
Iran, Islamic Republic of 1 3%
China 1 3%
Norway 1 3%
Unknown 32 86%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 12 32%
Researcher 7 19%
Student > Doctoral Student 3 8%
Student > Bachelor 3 8%
Student > Master 3 8%
Other 4 11%
Unknown 5 14%
Readers by discipline Count As %
Engineering 26 70%
Computer Science 2 5%
Mathematics 2 5%
Unknown 7 19%