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area, which would save a lot of time and avoid collecting the scattered information from research papers, reports and unpublished work.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.
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area, which would save a lot of time and avoid collecting the scattered information from research papers, reports and unpublished work.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.
Provides a comprehensive study of deterministic blind system identification Includes preliminary knowledge to make this book self-contained Offers in-depth investigation of system structural properties that enable blind identification
Chengpu Yu
blind system identification Deterministic blind identification structured state-space models difference-of-convex programming blind subspace identification
“This book is a valuable guide for researchers, engineers and students in the field of mathematics, informatics, control science, artificial intelligence, and structured dynamic systems.” (Savin Treanta, zbMATH 1491.93031, 2022)
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