UID:
almahu_9949226757602882
Format:
XV, 267 p. 46 illus., 40 illus. in color.
,
online resource.
Edition:
1st ed. 2022.
ISBN:
9789811675744
Content:
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area, which would save a lot of time and avoid collecting the scattered information from research papers, reports and unpublished work.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.
Note:
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.
In:
Springer Nature eBook
Additional Edition:
Printed edition: ISBN 9789811675737
Additional Edition:
Printed edition: ISBN 9789811675751
Additional Edition:
Printed edition: ISBN 9789811675768
Language:
English
DOI:
10.1007/978-981-16-7574-4
URL:
https://doi.org/10.1007/978-981-16-7574-4
URL:
Volltext
(URL des Erstveröffentlichers)
Bookmarklink
