Abstract
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area, which would save a lot of time and avoid collecting the scattered information from research papers, reports and unpublished work.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.
Original language | English |
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Publisher | Springer Nature |
Number of pages | 266 |
ISBN (Electronic) | 978-981-16-7574-4 |
ISBN (Print) | 978-981-16-7573-7 |
DOIs | |
Publication status | Published - 2022 |
Keywords
- Blind subspace identification
- Blind system identification
- Deterministic blind identification
- Difference-of-convex programming
- Structured state-space models