Blind Identification via Lifting
Systems and Control
2013-12-10 v1
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.
Keywords
Cite
@article{arxiv.1312.2060,
title = {Blind Identification via Lifting},
author = {Henrik Ohlsson and Lillian J. Ratliff and Roy Dong and S. Shankar Sastry},
journal= {arXiv preprint arXiv:1312.2060},
year = {2013}
}
Comments
Submitted to the IFAC World Congress 2014. arXiv admin note: text overlap with arXiv:1303.6719