eBook - PDF

Data-Driven Identification of Networks of Dynamic Systems

Name: Data-Driven Identification of Networks of Dynamic Systems
ISBN: 9781009028097

Michel Verhaegen,

Chengpu Yu,

Baptiste Sinquin,

English
PDF
Available on iOS & Android

eBook - PDF

Data-Driven Identification of Networks of Dynamic Systems

Michel Verhaegen,

Chengpu Yu,

Baptiste Sinquin,

About this book

This comprehensive text provides an excellent introduction to the state of the art in the identification of network-connected systems. It covers models and methods in detail, includes a case study showing how many of these methods are applied in adaptive optics and addresses open research questions. Specific models covered include generic modelling for MIMO LTI systems, signal flow models of dynamic networks and models of networks of local LTI systems. A variety of different identification methods are discussed, including identification of signal flow dynamics networks, subspace-like identification of multi-dimensional systems and subspace identification of local systems in an NDS. Researchers working in system identification and/or networked systems will appreciate the comprehensive overview provided, and the emphasis on algorithm design will interest those wishing to test the theory on real-life applications. This is the ideal text for researchers and graduate students interested in system identification for networked systems.

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Yes, you can access Data-Driven Identification of Networks of Dynamic Systems by Michel Verhaegen,Chengpu Yu,Baptiste Sinquin in PDF and/or ePUB format, as well as other popular books in Technology & Engineering & Engineering General. We have over one million books available in our catalogue for you to explore.