Abstract
Subspace-based system identification methods have been developed over the last two decades. The available methods are algebraic in nature as they are not based on a suitable identification criterion minimization. The aim of this paper is to investigate the subspace identification methods in the spirit of the well known prediction error methods and output error methods.
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