Abstract
This paper extends previous work about optimisation algorithms for nuclear norm based subspace identification with uniformly and non-uniformly spaced frequency data to the time domain case, and compares the findings to more standard non-iterative methods by means of an artificially built stochastic simulation example computing the identification errors versus various, including very high, noise levels of the time domain output signals. The algorithmic solution approaches to the discussed optimisation problems are the dual accelerated gradientprojection method and the alternating direction method of multipliers.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
