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MIMO-SLS Identification from Input-Output Data

Bencherki, Fethi LU ; Türkay, Semiha and Akçay, Hüseyin (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:
author
; and
organization
publishing date
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
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
2024-08-21 09:44:36
@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}},
}