Informativity for identification for 2D state-representable autonomous systems, with applications to data-driven simulation
Informativity for identification for 2D state-representable autonomous systems, with applications to data-driven simulation
We define persistency of excitation and informativity for system identification for the class of 2D state-representable autonomous systems. We characterize informativity for system identification in terms of properties of a matrix constructed from the restrictions of a system trajectory on successive consecutive lines. We state a procedure to compute arbitrary trajectories from a “sufficiently rich” one.
584-589
Rapisarda, Paolo
79efc3b0-a7c6-4ca7-a7f8-de5770a4281b
Pal, Debasattam
4f59a013-2719-431f-9f3d-d3966d7ac34a
19 January 2024
Rapisarda, Paolo
79efc3b0-a7c6-4ca7-a7f8-de5770a4281b
Pal, Debasattam
4f59a013-2719-431f-9f3d-d3966d7ac34a
Rapisarda, Paolo and Pal, Debasattam
(2024)
Informativity for identification for 2D state-representable autonomous systems, with applications to data-driven simulation.
In 2023 62nd IEEE Conference on Decision and Control, CDC 2023.
IEEE.
.
(doi:10.1109/CDC49753.2023.10383552).
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Conference or Workshop Item
(Paper)
Abstract
We define persistency of excitation and informativity for system identification for the class of 2D state-representable autonomous systems. We characterize informativity for system identification in terms of properties of a matrix constructed from the restrictions of a system trajectory on successive consecutive lines. We state a procedure to compute arbitrary trajectories from a “sufficiently rich” one.
Text
CDC23_0578_FI
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Accepted/In Press date: 2023
Published date: 19 January 2024
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© 2023 IEEE.
Venue - Dates:
62nd IEEE Conference on Decision and Control<br/>, , Singapore, 2023-12-13
Identifiers
Local EPrints ID: 486548
URI: http://eprints.soton.ac.uk/id/eprint/486548
ISSN: 0743-1546
PURE UUID: 5750c507-480f-4020-a1b4-7ca73c2b0feb
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Date deposited: 25 Jan 2024 17:35
Last modified: 15 Apr 2024 16:47
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Contributors
Author:
Paolo Rapisarda
Author:
Debasattam Pal
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