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.

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area, which would save a lot of time and avoid collecting the scattered information from research papers, reports and unpublished work.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.