Data-driven model predictive control for continuous-time systems
Data-driven model predictive control for continuous-time systems
We present some preliminary ideas on a data-driven Model Predictive Control framework for continuous-time systems. We use Chebyshev polynomial orthogonal bases to represent system trajectories and subsequently develop a data-driven continuous-time version of the classical Model Predictive Control algorithm. We investigate the effects of the parameters in our framework with two numerical examples and draw comparison to model-driven MPC schemes.
369-374
Wolski, Aleksander
74dcb812-aa07-4015-ac80-65fd9293e282
Chu, Bing
555a86a5-0198-4242-8525-3492349d4f0f
Rapisarda, Paolo
79efc3b0-a7c6-4ca7-a7f8-de5770a4281b
26 February 2025
Wolski, Aleksander
74dcb812-aa07-4015-ac80-65fd9293e282
Chu, Bing
555a86a5-0198-4242-8525-3492349d4f0f
Rapisarda, Paolo
79efc3b0-a7c6-4ca7-a7f8-de5770a4281b
Wolski, Aleksander, Chu, Bing and Rapisarda, Paolo
(2025)
Data-driven model predictive control for continuous-time systems.
In 2024 IEEE 63rd Conference on Decision and Control (CDC).
IEEE.
.
(doi:10.1109/CDC56724.2024.10886618).
Record type:
Conference or Workshop Item
(Paper)
Abstract
We present some preliminary ideas on a data-driven Model Predictive Control framework for continuous-time systems. We use Chebyshev polynomial orthogonal bases to represent system trajectories and subsequently develop a data-driven continuous-time version of the classical Model Predictive Control algorithm. We investigate the effects of the parameters in our framework with two numerical examples and draw comparison to model-driven MPC schemes.
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Published date: 26 February 2025
Venue - Dates:
2024 IEEE 63rd Conference on Decision and Control (CDC), , Milan, Italy, 2024-12-16 - 2024-12-19
Identifiers
Local EPrints ID: 499945
URI: http://eprints.soton.ac.uk/id/eprint/499945
PURE UUID: 7ad70b7b-4402-446c-ad2f-c4ea6db01fe5
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Date deposited: 09 Apr 2025 16:37
Last modified: 27 Aug 2025 02:15
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Contributors
Author:
Aleksander Wolski
Author:
Bing Chu
Author:
Paolo Rapisarda
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