Data driven identification of networks of dynamic systems / Michel Verhaegen, Chengpu Yu, Baptiste Sinquin.

Format:

Book

Author/Creator:

Verhaegen, M. (Michel), author.

Yu, Chengpu, 1984- author.

Sinquin, Baptiste, 1991- author.

Language:

English

Subjects (All):

System analysis--Mathematics.

System analysis.

Physical Description:

1 online resource (xviii, 267 pages) : digital, PDF file(s).

Place of Publication:

Cambridge : Cambridge University Press, 2022.

Summary:

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.

Notes:

Title from publisher's bibliographic system (viewed on 07 Apr 2022).

Includes bibliographical references and index.

Other Format:

Print version: Verhaegen, Michel Data-Driven Identification of Networks of Dynamic Systems

ISBN:

1-009-02633-X

1-009-02809-X