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Identification of Continuous-time Models from Sampled Data

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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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