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Identification of Continuous-time Models from Sampled Data : Advances in Industrial Control - Hugues Garnier

Identification of Continuous-time Models from Sampled Data

By: Hugues Garnier (Editor), Liuping Wang (Editor)

Paperback | 21 October 2010

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Direct Identification of Continuous-time Models from Sampled Data: Issues, Basic Solutions and Relevance.- Estimation of Continuous-time Stochastic System Parameters.- Robust Identification of Continuous-time Systems from Sampled Data.- Refined Instrumental Variable Identification of Continuous-time Hybrid Box-Jenkins Models.- Instrumental Variable Methods for Closed-loop Continuous Model Identification.- Model Order Identification for Continuous-time Models.- Estimation of the Parameters of Continuous-time Systems Using Data Compression.- Frequency-domain Approach to Continuous-time System Identification: Some Practical Aspects.- The CONTSID Toolbox: A Software Support for Data-based Continuous-time Modelling.- Subspace-based Continuous-time Identification.- Process Parameter and Delay Estimation from Non-uniformly Sampled Data.- Iterative Methods for Identification of Multiple Input Continuous-time Systems with Unknown Time Delays.- Closed-loop Parametric Identification for Continuous-time Linear Systems via New Algebraic Techniques.- Continuous-time Model Identification Using Spectrum Analysis with Passivity-preserving Model Reduction.

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Published: 28th March 2008

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