@inproceedings{cf67c1a39dba4347a42335bea823b8d5,
title = "Blind identification via lifting",
abstract = "Blind system identification is known to be an ill-posed problem and without further assumptions, no unique solution is at hand. In this contribution, we are concerned with the task of identifying an ARX model from only output measurements. We phrase this as a constrained rank minimization problem and present a relaxed convex formulation to approximate its solution. To make the problem well posed we assume that the sought input lies in some known linear subspace.",
author = "Henrik Ohlsson and Lillian Ratliff and Roy Dong and Sastry, \{S. Shankar\}",
note = "★ The work presented is supported by the NSF Graduate Research Fellowship under grant DGE 1106400, NSF CPS:Large:ActionWebs award number 0931843, TRUST (Team for Research in Ubiquitous Secure Technology) which receives support from NSF (award number CCF-0424422), and FORCES (Foundations Of Resilient CybEr-physical Systems), the Swedish Research Council in the Linnaeus center CADICS, the European Research Council under the advanced grant LEARN, contract 267381, a postdoctoral grant from the Sweden-America Foundation, donated by ASEA{\textquoteright}s Fellowship Fund, and by a postdoctoral grant from the Swedish Research Council.; 19th IFAC World Congress on International Federation of Automatic Control, IFAC 2014 ; Conference date: 24-08-2014 Through 29-08-2014",
year = "2014",
doi = "10.3182/20140824-6-za-1003.02567",
language = "English (US)",
series = "IFAC Proceedings Volumes (IFAC-PapersOnline)",
publisher = "IFAC Secretariat",
pages = "10367--10372",
editor = "Edward Boje and Xiaohua Xia",
booktitle = "19th IFAC World Congress IFAC 2014, Proceedings",
}