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Article Dans Une Revue Control Engineering Practice Année : 2024

Data enabled Predictive Control of LPV systems

Résumé

This paper introduces a data-enabled predictive control methodology designed for Linear Parameter Varying (LPV) systems. By leveraging a polytopic representation of the LPV system, we formulate Willem’s lemma to accommodate parameter variations. The system trajectory is predicted over a finite horizon using specific trajectories generated offline. A notable advantage of this approach is its independence from a priori knowledge of parametric variations. Simulation studies conducted on both a numerical example and a simulator of a calendering process governed by partial differential equations substantiate the effectiveness of this approach.
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Dates et versions

hal-04582708 , version 1 (10-07-2024)

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Taleb Bou Hamdan, Patrick Coirault, Guillaume Mercère, Thibault Dairay. Data enabled Predictive Control of LPV systems. Control Engineering Practice, 2024, 149, ⟨10.1016/j.conengprac.2024.105969⟩. ⟨hal-04582708⟩
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