Optimization algorithms for nuclear norm based subspace identification with uniformly spaced frequency domain data
OPEN ACCESS
Loading...
Author / Producer
Date
2015
Publication Type
Conference Paper
ETH Bibliography
yes
Citations
Altmetric
OPEN ACCESS
Data
Rights / License
Abstract
We compare two iterative frequency domain subspace identification methods using nuclear norm minimization to more commonly used non-iterative methods by means of an artificially created test problem involving very noisy uniformly spaced frequency data. The two corresponding optimization problems are motivated and their first-order algorithmic solutions based on the alternating direction method of multipliers and the dual accelerated gradient-projection method are stated and compared.
Permanent link
Publication status
published
External links
Editor
Book title
2015 American Control Conference (ACC)
Journal / series
Volume
2
Pages / Article No.
1119 - 1124
Publisher
IEEE
Event
2015 American Control Conference (ACC 2015)
Edition / version
Methods
Software
Geographic location
Date collected
Date created
Subject
Organisational unit
08814 - Smith, Roy (Tit.-Prof.) (ehemalig) / Smith, Roy (Tit.-Prof.) (former)