Mixed H-infinity and H-2 input design for identification
2004 (English)Conference paper (Other academic)
A framework for input design in identification is presented in this contribution. By introducing a suitable finite dimensional linear parametrization of the input spectrum, the input design problem is reduced to a convex and finite-dimensional program. It is shown that several useful model quality constraints can be incorporated in the framework. In particular, different frequency by frequency constraints can be used. Such constraints arise in, e.g., control applications where it is desirable to be able to guarantee robust stability and robust performance for all models in an identified model set.
Place, publisher, year, edition, pages
2004. 388-393 p.
, IEEE CONFERENCE ON DECISION AND CONTROL - PROCEEDINGS, ISSN 0191-2216
Research subject SRA - ICT
IdentifiersURN: urn:nbn:se:kth:diva-26577DOI: 10.1109/CDC.2004.1428660ISI: 000226745600065ScopusID: 2-s2.0-14344259910ISBN: 0-7803-8682-5OAI: oai:DiVA.org:kth-26577DiVA: diva2:379232
2004 43rd IEEE Conference on Decision and Control (CDC), Nassau, Bahamas, 14-17 December 2004
QC 201412122010-12-172010-11-252014-12-12Bibliographically approved