MIMO-SLS Identification from Input-Output Data
(2024) 2024 IEEE 18th International Conference on Control & Automation (ICCA) p.62-65- Abstract
- In this paper, we propose a framework to iden-tify discrete-time, multi-input/multi-output (MIMO), switched-linear systems (SLSs) from input-output data. The key step is an observer-based transformation to a switched auto-regressive with exogenous input (SARX) model. This transformation has a nontrivial kernel complicating identification, but converts the state-space identification problem to SARX model identification. Issues resulting from this transformation are carefully addressed by considering equivalance classes.
Please use this url to cite or link to this publication:
https://lup.lub.lu.se/record/5d0b4279-2bb2-4b79-adf6-34210a5925c9
- author
- Bencherki, Fethi LU ; Türkay, Semiha and Akçay, Hüseyin
- organization
- publishing date
- 2024-06-18
- type
- Chapter in Book/Report/Conference proceeding
- publication status
- published
- subject
- host publication
- Proceedings of the International Conference on Control & Automation (ICCA)
- pages
- 62 - 65
- conference name
- 2024 IEEE 18th International Conference on Control & Automation (ICCA)
- conference dates
- 2024-06-18 - 2024-06-21
- external identifiers
-
- scopus:85200317062
- DOI
- 10.1109/ICCA62789.2024.10591929
- project
- WASP NEST: Learning in Networks: Structure, Dynamics, and Control
- language
- English
- LU publication?
- yes
- id
- 5d0b4279-2bb2-4b79-adf6-34210a5925c9
- alternative location
- https://ieeexplore.ieee.org/document/10591929/
- date added to LUP
- 2024-07-28 23:51:24
- date last changed
- 2025-04-04 14:27:31
@inproceedings{5d0b4279-2bb2-4b79-adf6-34210a5925c9,
abstract = {{In this paper, we propose a framework to iden-tify discrete-time, multi-input/multi-output (MIMO), switched-linear systems (SLSs) from input-output data. The key step is an observer-based transformation to a switched auto-regressive with exogenous input (SARX) model. This transformation has a nontrivial kernel complicating identification, but converts the state-space identification problem to SARX model identification. Issues resulting from this transformation are carefully addressed by considering equivalance classes.}},
author = {{Bencherki, Fethi and Türkay, Semiha and Akçay, Hüseyin}},
booktitle = {{Proceedings of the International Conference on Control & Automation (ICCA)}},
language = {{eng}},
month = {{06}},
pages = {{62--65}},
title = {{MIMO-SLS Identification from Input-Output Data}},
url = {{http://dx.doi.org/10.1109/ICCA62789.2024.10591929}},
doi = {{10.1109/ICCA62789.2024.10591929}},
year = {{2024}},
}