Blind identification of structured dynamic systems : a deterministic perspective / Chengpu Yu, Lihua Xie, Michel Verhaegen, Jie Chen.
Yu, Chengpu, author.; Xie, Lihua, author.; Verhaegen, M. (Michel), author.; Chen, Jie, author.
2022
QA402 .Y8 2022
Available Online

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Title
Blind identification of structured dynamic systems : a deterministic perspective / Chengpu Yu, Lihua Xie, Michel Verhaegen, Jie Chen.
Author
Yu, Chengpu, author.
ISBN
9789811675744 (electronic bk.)
9811675740 (electronic bk.)
9789811675737
9811675732
DOI
https://doi.org/10.1007/978-981-16-7574-4
Published
Singapore : Springer ; [China] : Science Press, [2022]
Copyright
©2022
Language
English
Description
1 online resource : illustrations (chiefly color)
Item Number
10.1007/978-981-16-7574-4 doi
Call Number
QA402 .Y8 2022
Dewey Decimal Classification
003
Summary
This book is intended for researchers active in the field of (blind) system identification and aims to provide new identification ideas/insights for dealing with challenging system identification problems. It presents a comprehensive overview of the state-of-the-art in the area, which would save a lot of time and avoid collecting the scattered information from research papers, reports and unpublished work. Besides, it is a self-contained book by including essential algebraic, system and optimization theories, which can help graduate students enter the amazing blind system identification world with less effort.
Bibliography, etc. Note
Includes bibliographical references.
Access Note
Access limited to authorized users.
Digital File Characteristics
text file
PDF
Source of Description
Online resource; title from PDF title page (SpringerLink, viewed December 9, 2021).
Added Author
Xie, Lihua, author.
Verhaegen, M. (Michel), author.
Chen, Jie, author.
Available in Other Form
Blind identification of structured dynamic systems.
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Introduction
Linear Algebra and Polynomial Matrices
Representation of Linear System Models
Identification of LTI Systems
Blind Identification of SIMO FIR Systems
Blind Identification of SISO IIR Systems via Oversampling
Distributed Blind Identification of Networked FIR Systems
Blind Identification of MIMO Systems
Blind Identification of Structured State-Space Models
Blind Local Identification of Large-Scale Networked Systems
Conclusions.

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