Michel Verhaegen, Chengpu Yu, Baptiste Sinquin

Data-Driven Identification of Networks of Dynamic Systems (eBook, PDF)

• Format: PDF

Produktbeschreibung

A comprehensive introduction to identifying network-connected systems, covering models and methods, and applications in adaptive optics.

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Produktdetails

• Verlag: Cambridge University Press
• Erscheinungstermin: 12. Mai 2022
• Englisch
• ISBN-13: 9781009028097
• Artikelnr.: 70909345

Autorenporträt

Michel Verhaegen is a professor at Delft University of Technology and a fellow of the International Federation of Automatic Control (IFAC). He co-authored Filtering and System Identification: A Least Squares Approach (Cambridge University Press, 2010).

Inhaltsangabe

1. Introduction
Part I. Modelling Large-Scale Dynamic Networks: 2. Generic modelling for MIMO LTI systems
3. Signal flow models of dynamic networks
4. Models of networks of local LTI systems
5. Classification of models of networks of LTI systems
Part II. The Identification Methods: 6. Identification of signal flow dynamic networks
7. Subspace-like identification of multi-dimensional systems
8. Subspace identification of local systems in an NDS
9. Estimating structured state-space models
Part III. Illustrating with an Application to Adaptive Optics: 10. Towards control of large-scale adaptive optics systems
11. Conclusions.