A Numerically Efficient Augmented Subspace Identification Algorithm For Instrumental Variable Approaches
In this paper, a rank decreasing problem inherent to the application of a classical instrumental variable subspace identification (SIVID) approach will be discussed and an augmented identification approach will be proposed to address it. Simulations will demonstrate the validity of the proposed algorithm and its improved computational efficiency. Copyright © 2005 by ASME.
American Society of Mechanical Engineers, Dynamic Systems and Control Division (Publication) DSC
2 PART B
Number of Pages
Article; Proceedings Paper
Source API URL
Luo, Dapeng and Leonessa, Alexander, "A Numerically Efficient Augmented Subspace Identification Algorithm For Instrumental Variable Approaches" (2005). Scopus Export 2000s. 3353.