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oaioai:eprints.soton.ac.uk:499945

Data-driven model predictive control for continuous-time systems

Authors
Publication date
26 February 2025
Publisher
IEEE
Doi

    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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      This paper was published in Southampton (e-Prints Soton).

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