Identification of Continuous-time Models from Sampled Data

1. Direct Identification of Continuous-time Models from Sampled Data: Issues, Basic Solutions and Relevance
Hugues Garnier, Liuping Wang, Peter C. Young

2. Estimation of Continuous-time Stochastic System Parameters
Erik K. Larsson, Magnus Mossberg, Torsten Söderström

3. Robust Identification of Continuous-time Systems from Sampled Data
Juan I. Yuz, Graham C. Goodwin

4. Refined Instrumental Variable Identification of Continuous-time Hybrid Box-Jenkins Models
Peter C. Young, Hugues Garnier, Marion Gilson

5. Instrumental Variable Methods for Closed-loop Continuous-time Model Identification
Marion Gilson, Hugues Garnier, Peter C. Young, Paul Hof

6. Model Order Identification for Continuous-time Models
Liuping Wang, Peter C. Young

7. Estimation of the Parameters of Continuous-time Systems Using Data Compression
Liuping Wang, Peter J. Gawthrop

8. Frequency-domain Approach to Continuous-time System Identification: Some Practical Aspects
Rik Pintelon, Johan Schoukens, Yves Rolain

9. The CONTSID Toolbox: A Software Support for Data-based Continuous-time Modelling
Hugues Garnier, Marion Gilson, Thierry Bastogne, Michel Mensler

10. Subspace-based Continuous-time Identification
Rolf Johansson

11. Process Parameter and Delay Estimation from Non-uniformly Sampled Data
Salim Ahmed, Biao Huang, Sirish L. Shah

12. Iterative Methods for Identification of Multiple-input Continuous-time Systems with Unknown Time Delays
Zi-Jiang Yang

13. Closed-loop Parametric Identification for Continuous-time Linear Systems via New Algebraic Techniques
Michel Fliess, Hebertt Sira-Ramírez

14. Continuous-time Model Identification Using Spectrum Analysis with Passivity-preserving Model Reduction
Rolf Johansson

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