An input-output continuous-time version of Willems’ lemma
An input-output continuous-time version of Willems’ lemma
We illustrate a novel version of Willems’ lemma for data-based representation of continuous-time systems. The main novelties compared to previous works are two. First, the proposed framework relies only on measured input-output trajectories from the system and no internal (state) information is required. Second, our system representation makes use of exact system trajectories, without resorting to orthogonal bases representations and consequent approximations. We first establish sufficient and necessary conditions for data-based generation of system trajectories in terms of suitable latent variables. Subsequently, we reformulate these conditions using measured input-output data and show how to span the full behavior of the system. Furthermore, we show how to use the developed framework to solve the data-based continuous-time simulation problem.
Lopez, Victor G.
66106129-9387-4f46-b7f5-34d189072533
Mueller, Matthias A.
60cf54d0-97ec-43cf-8886-f5a54d728c16
Rapisarda, Paolo
79efc3b0-a7c6-4ca7-a7f8-de5770a4281b
Lopez, Victor G.
66106129-9387-4f46-b7f5-34d189072533
Mueller, Matthias A.
60cf54d0-97ec-43cf-8886-f5a54d728c16
Rapisarda, Paolo
79efc3b0-a7c6-4ca7-a7f8-de5770a4281b
Lopez, Victor G., Mueller, Matthias A. and Rapisarda, Paolo
(2024)
An input-output continuous-time version of Willems’ lemma.
IEEE Control Systems Letters.
(In Press)
Abstract
We illustrate a novel version of Willems’ lemma for data-based representation of continuous-time systems. The main novelties compared to previous works are two. First, the proposed framework relies only on measured input-output trajectories from the system and no internal (state) information is required. Second, our system representation makes use of exact system trajectories, without resorting to orthogonal bases representations and consequent approximations. We first establish sufficient and necessary conditions for data-based generation of system trajectories in terms of suitable latent variables. Subsequently, we reformulate these conditions using measured input-output data and show how to span the full behavior of the system. Furthermore, we show how to use the developed framework to solve the data-based continuous-time simulation problem.
Text
24-0428_03_MS
- Accepted Manuscript
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Accepted/In Press date: 24 May 2024
Identifiers
Local EPrints ID: 490507
URI: http://eprints.soton.ac.uk/id/eprint/490507
ISSN: 2475-1456
PURE UUID: 987b62e1-8be1-40a9-9108-1f45e673dc01
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Date deposited: 29 May 2024 16:37
Last modified: 29 May 2024 16:37
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Contributors
Author:
Victor G. Lopez
Author:
Matthias A. Mueller
Author:
Paolo Rapisarda
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