Identification of externally positive systems
(2018) 56th IEEE Annual Conference on Decision and Control, CDC 2017 2018-January. p.6549-6554- Abstract
We consider identification of externally positive linear discrete-time systems from input/output data. The proposed method is formulated as a semidefinite program, and is guaranteed to identify models that are ellipsoidal cone-invariant and, consequently, externally positive. We demonstrate empirically that this cone-invariance approach can significantly reduce the conservatism associated with methods that enforce internal positivity as a sufficient condition for external positivity.
Please use this url to cite or link to this publication:
https://lup.lub.lu.se/record/41dd3601-b780-45f7-ac87-83091986cb19
- author
- Grussler, Christian LU ; Umenberger, Jack and Manchester, Ian R.
- organization
- publishing date
- 2018-01-18
- type
- Chapter in Book/Report/Conference proceeding
- publication status
- published
- subject
- host publication
- 2017 IEEE 56th Annual Conference on Decision and Control, CDC 2017
- volume
- 2018-January
- pages
- 6 pages
- publisher
- IEEE - Institute of Electrical and Electronics Engineers Inc.
- conference name
- 56th IEEE Annual Conference on Decision and Control, CDC 2017
- conference location
- Melbourne, Australia
- conference dates
- 2017-12-12 - 2017-12-15
- external identifiers
-
- scopus:85046425492
- ISBN
- 9781509028733
- DOI
- 10.1109/CDC.2017.8264646
- language
- English
- LU publication?
- yes
- id
- 41dd3601-b780-45f7-ac87-83091986cb19
- date added to LUP
- 2018-05-17 14:46:21
- date last changed
- 2022-04-25 07:14:42
@inproceedings{41dd3601-b780-45f7-ac87-83091986cb19, abstract = {{<p>We consider identification of externally positive linear discrete-time systems from input/output data. The proposed method is formulated as a semidefinite program, and is guaranteed to identify models that are ellipsoidal cone-invariant and, consequently, externally positive. We demonstrate empirically that this cone-invariance approach can significantly reduce the conservatism associated with methods that enforce internal positivity as a sufficient condition for external positivity.</p>}}, author = {{Grussler, Christian and Umenberger, Jack and Manchester, Ian R.}}, booktitle = {{2017 IEEE 56th Annual Conference on Decision and Control, CDC 2017}}, isbn = {{9781509028733}}, language = {{eng}}, month = {{01}}, pages = {{6549--6554}}, publisher = {{IEEE - Institute of Electrical and Electronics Engineers Inc.}}, title = {{Identification of externally positive systems}}, url = {{http://dx.doi.org/10.1109/CDC.2017.8264646}}, doi = {{10.1109/CDC.2017.8264646}}, volume = {{2018-January}}, year = {{2018}}, }