University of Cambridge > Talks.cam > CUED Control Group Seminars > Hankel structured low rank matrix completion

Hankel structured low rank matrix completion

Add to your list(s) Download to your calendar using vCal

If you have a question about this talk, please contact Dr Ioannis Lestas.

Hankel structured low rank matrices appear frequently in systems and control problems. Well known examples are model reduction and system identification (which correspond to Hankel structured low rank approximation). In this talk, we show that classical analysis and synthesis problems, such as simulation, prediction, input estimation, and output tracking are special cases of a Hankel structured low rank matrix completion problem. There is no computational advantage in solving the special problems as a general matrix completion problem, however, the many-to-one mapping has aesthetic appeal and reveals hidden relations.

This talk is part of the CUED Control Group Seminars series.

Tell a friend about this talk:

This talk is included in these lists:

Note that ex-directory lists are not shown.

 

© 2006-2017 Talks.cam, University of Cambridge. Contact Us | Help and Documentation | Privacy and Publicity