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On data usage and predictive behavior of data-driven predictive control with 1-norm regularization

2025-05-28Code Available0· sign in to hype

Manuel Klädtke, Moritz Schulze Darup

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Abstract

We investigate the data usage and predictive behavior of data-driven predictive control (DPC) with 1-norm regularization. Our analysis enables the offline removal of unused data and facilitates a comparison between the identified symmetric structure and data usage against prior knowledge of the true system. This comparison helps assess the suitability of the DPC scheme for effective control.

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