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Book 2022ealing 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area, which would save a lot of time and avoid collecting the scattered information from research papers, reports and unpublished work.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 byhardheaded 发表于 2025-3-26 03:14:20
https://doi.org/10.1007/3-540-29252-7In order to make this book self contained, the subspace related preliminaries of linear algebra (Strang, 2019), (Golub & Van Loan, 2012) and polynomial matrices (Kailath, 1980) are briefly introduced in this chapter, which are fundamental to the blind system identification studied in this book.justify 发表于 2025-3-26 05:21:49
https://doi.org/10.1007/978-3-662-08365-9To study the blind system identification with unknown inputs, it is essential to know the basic identification approaches in the system identification community. This chapter introduces three different methods for the identification of multi-variable system models using input and output data.INCH 发表于 2025-3-26 09:17:45
https://doi.org/10.1007/978-3-662-12263-1The blind identification of single-input-multiple-output (SIMO) systems has well established theoretical results, which can be elegantly interpreted from algebraic and geometrical perspectives.轻快带来危险 发表于 2025-3-26 14:03:42
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Linear Algebra and Polynomial MatricesIn order to make this book self contained, the subspace related preliminaries of linear algebra (Strang, 2019), (Golub & Van Loan, 2012) and polynomial matrices (Kailath, 1980) are briefly introduced in this chapter, which are fundamental to the blind system identification studied in this book.